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HLT 362V Week 2 Assignment: Population & Sampling Distribution Excel Worksheet

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HLT 362 Article Analysis 2 Assignment

Search the GCU Library and find two new health care articles that use quantitative research. Do not use articles from a previous assignment, or articles that appear in the Topic Materials or textbook.

Complete an article analysis for each using the “Article Analysis: Part 2” template.

HLT 362 Article Analysis 2 Assignment Essaysa

HLT 362 Article Analysis 2 Assignment Essaysa

HLT 362 Article Analysis 2 Assignment conjunction with the “Article Analysis Example 2,” for an example of an article analysis.

While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to LopesWrite. Refer to the  LopesWrite Technical Support articles  for assistance.

Description

Week 3 Objectives :

  • Evaluate hypothesis testing approaches and their application to health care.
  • Define dependent and independent variables and their role in hypothesis testing.
  • Describe evidence used to “reject “or “do not reject” the null hypothesis.
  • Evaluate the relationship between hypothesis testing and confidence intervals.

Things to do this week:

  • Participate –  In addition to answering the discussion questions, post at least three days with a minimum of two Substantial posts on those three days. For a post to be substantial, it needs to genuinely add something new to the conversation.
  • Assignment: Article Analysis 2 – You can find the activity in the “Path” menu, then under Topic 3 > Tasks. Please follow the instructions carefully and submit this paper by Sunday night.  ***Here is a video***  I created that will give you some guidance based on common mistakes I have seen in the past.
  • Quiz 2 – You can find the quiz in the “Path” menu, then under Topic 3 > Tasks. Please follow the instructions carefully and complete the quiz by Sunday night. You have just one attempt at the quiz and it must be completed in one sitting. There are 10 questions that must be answered in 20 minutes before Sunday night. This quiz tests your knowledge on the statistical concepts presented in this third week’s topic as mentioned in the instructions. You can find the study material as mentioned previously in this announcement and you should be familiar with this material before taking the quiz. If you have any  technical issues with the quiz , then please contact me and let me know. I can view what you have attempted and reset the quiz to give you an additional attempt.
  • Post Questions from Assignments!!! (Optional)-  Please start looking at the course material early in the week, so that you can start on the assignments ASAP. If you find that you cannot figure out part of any of the graded activities from homework, then please post questions in the Questions to Instructor Forum under the appropriate Topic. (Example: If you have a question about anything from Week 2, then you should ask a question in the “Week 2 Questions? ***Reply Here***” topic.) Also, remember any technical issues should be addressed by contacting GCU technical support at 602-639-7200. HLT 362 Article Analysis 2 Assignment

Article Analysis part 2 Article Citation and Permalink (APA format) Twigg, D. E., Kutzer, Y., Jacob, E., & Seaman, K. (2019). A quantitative systematic review of the association between nurse skill mix and nursing‐sensitive patient outcomes in the acute care setting. Journal of advanced nursing, 75(12), 3404-3423. Rehse, B., & Pukrop, R. (2016). Effects of psychosocial interventions on quality of life in adult cancer patients: meta-analysis of 37 published controlled outcome studies. Patient education and counseling, 50(2), 179-186. Buerhaus, P. I., Donelan, K., Ulrich, B. T., Norman, L., DesRoches, C., & Dittus, R. (2017). Impact of the nurse shortage on hospital patient care: comparative perspectives. Health affairs, 26(3), 853-862. Point Description Description Description Broad Topic Area/Title The main topic of the study is the systematic review of the relationship between the nurse skill mix and the nursing sensitive patient outcomes within the acute care settings. It has been stipulated that nurses with high skill mix tend to ensure effective patient outcomes in the treatment process. The broad topic of the study is to determine the impacts of psychosocial interventions on the quality of life among the adult cancer patients. The main topic of the study is to examine the effects of nursing shortages on the patients care within the healthcare settings. Identify Independent and Dependent Variables and Type of Data for the Variables Independent variable: Nursing sensitive patient outcomes (Categorical variable) Dependent variable: Nurse skill mix (categorical variable) Independent variable: psychosocial interventions (categorical variable) Dependent variable: Quality of life (continuous variable)

Independent variable: Number of Nurses (continuous variable) Dependent variable: Quality patient care (categorical variable)

Population of Interest for the Study The population of interest in the study include nurses and other healthcare professionals whose responsibilities are similar to the roles played by nurses. The population of interest in the study is the cancer patients. The process of the study is to measure the outcome among the adult cancer patients that have been given the psychosocial treatment. Only the patients above 18 years of age were considered in the study. The population of interest is the nurses and patients. The number of nurses and patients identified for the study were selected from different healthcare settings. The number of quality healthcare outcome was measured against the number of nurses to determine the effect of the treatment processes. Sample The sample size for the study was 63. In other words, 63 individuals were selected for the study; these included nurses in various healthcare settings. The sample size used in the study was 3120. These included cancer patients from various healthcare settings identified by the study participants. The sample size was 657. This involved physicians who were identified from various healthcare settings. The participants were also provided with the questionnaires so as to enhance data collection processes. Sampling Method Simple random sampling technique was used to gather information from the selected study participants. Their records were identified and biodata recorded appropriately. Simple random sampling technique is one of the most effective ways of collecting data from the study participants. Simple random sampling method was used to identify the study participants. Individuals were selected randomly from the population of the cancer patients. Health records were then selected after the consent was signed with both the patients and their family members. The selected participants were then monitored or examined over a period of time to identify the effect of the psychosocial treatment on the quality of life. Simple random sampling technique was used to identify the study participants from the identified healthcare settings. Some of the participant’s information including age and the level of experience were obtain from the database. Descriptive Statistics (Mean, Median, Mode; Standard Deviation)

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HLT 362V Week 2 Assignment: Population & Sampling Distribution Excel Worksheet

Identify examples of descriptive statistics in the article. Some of the descriptive statistics used include: Mean, media, mode, and percentages Some of the descriptive statistics used include:  Mean  Standard deviation  Percentages  Frequencies Some of the descriptive statistics used include:  Mean  Median  Percentages  Frequencies Inferential Statistics Identify examples of inferential statistics in the article. Some of the inferential statistics used by the researchers include: Correlational analysis, cross-sectional analysis, Bivariate and multivariate analyses, and Pre‐ and post‐test quasi‐experimental design. The inferential statistics applied in the analysis include:  Chi-square tests  Correlation analysis  F-test The inferential statistics applied in the analysis include:

 Correlation analysis  Proportions

HLT 362V Week 2 Assignment: Population & Sampling Distribution Excel Worksheet

Problem 1: For a normal distribution that has a mean of 100 and a standard deviation of 8. Determine the Z-score for each of the following X values: X = 108, X = 112, X = 98, X = 70, X = 124 Use the information in 1 A to determine the area or probability of the following: P(x > 108), P(xProblem 2: Please type you selection in the cell beside the question

HLT362V Week 2 Workbook Exercises

Exercise 10.

  • What demographic variables were measured at the nominal level of measurement in the Oh et al. (2014) study? Provide a rationale for your answer.
  • What statistics were calculated to describe body mass index (BMI) in this study? Were these appropriate? Provide a rationale for your answer.
  • Were the distributions of scores for BMI similar for the intervention and control groups? Provide a rationale for your answer.
  • Was there a significant difference in BMI between the intervention and control groups? Provide a rationale for your answer.
  • Based on the sample size of  N  = 41, what frequency and percentage of the sample smoked? What frequency and percentage of the sample were nondrinkers (alcohol)? Show your calculations and round to the nearest whole percent.
  • What measurement method was used to measure the bone mineral density (BMD) for the study participants? Discuss the quality of this measurement method and document your response.
  • What statistic was calculated to determine differences between the intervention and control groups for the lumbar and femur neck BMDs? Were the groups significantly different for BMDs?
  • The researchers stated that there were no significant differences in the baseline character­istics of the intervention and control groups (see Table 2). Are these groups heterogeneous or homogeneous at the beginning of the study? Why is this important in testing the effec­tiveness of the therapeutic lifestyle modification (TLM) program?
  • Oh et al. (2014, p. 296) stated that “the adherence rate to the TLM program was 99.6%.” Discuss the importance of intervention adherence, and document your response.
  • Was the sample for this study adequately described? Provide a rationale for your answer.Exercise 18
  • Assuming that the distribution is normal for weight relative to the ideal and 99% of the male participants scored between (–53.68, 64.64), where did 95% of the values for weight relative to the ideal lie? Round your answer to two decimal places.
  • Which of the following values from Table 1 tells us about variability of the scores in a distribution? a. 60.22 b. 11.94 c. 22.57 d. 53.66
  • Assuming that the distribution for General Health Perceptions is normal, 95% of the females’ scores around the mean were between what values? Round your answer to two decimal places
  • Assuming that the distribution of scores for Pain is normal, 95% of the men’s scores around the mean were between what two values? Round your answer to two decimal places.
  • Were the body image scores significantly different for women versus men? Provide a rationale for your answer.
  • Assuming that the distribution of Mental Health scores for men is normal, where are 99% of the men’s mental health scores around the mean in this distribution? Round your answer to two decimal places.
  • Assuming that the distribution of scores for Physical Functioning in women is normal, where are 99%of the women’s scores around the mean in this distribution? Round your answer to two decimal places.
  • Assuming that the distribution of scores is normal, 99% of HIV-positive body image scores around the mean were between what two values? Round your answer to two decimal places.
  • Assuming that the distribution of scores for Role Functioning is normal, 99% of the men’s scores around the mean were between what values? Round your answer to two decimal places.
  • What are some of the limitations of this study that decrease the potential for generalizing the findings to the target population?Exercise 26
  • Plot the frequency distribution for “Age at Enrollment” by hand or by using SPSS.
  • How would you characterize the skewness of the distribution in Question 1—positively skewed, negatively skewed, or approximately normal? Provide a rationale for your answer.
  • Compare the original skewness statistic and Shapiro-Wilk statistic with those of the smaller dataset ( n  = 15) for the variable “Age at First Arrest.” How did the statistics change, and how would you explain these differences?
  • Plot the frequency distribution for “Years of Education” by hand or by using SPSS.
  • How would you characterize the kurtosis of the distribution in Question 4————, mesokurtic, or platykurtic? Provide a rationale for your answer.
  • What is the skewness statistic for “Age at Enrollment”? How would you characterize the magnitude of the skewness statistic for “Age at Enrollment”?
  • What is the kurtosis statistic for “Years of Education”? How would you characterize the magnitude of kurtosis for “Years of Education”?
  • Using SPSS, compute the Shapiro-Wilk statistic for “Number of Times Fired from Job.” What would you conclude from the results?
  • In the SPSS output table titled “Tests of Normality,” the Shapiro-Wilk statistic is reported along with the Kolmogorov-Smirnov statistic. Why is the Kolmogorov-Smirnov statistic inappropriate to report for these example data?
  • How would you explain the skewness statistic for a particular frequency distribution being low and the Shapiro-Wilk statistic still being significant at  p  < 0.05?

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Course Code      Class Code          Assignment Title             Total Points

HLT-362V           HLT-362V-OL191             Article Analysis 2             130.0

Criteria Percentage         1: Unsatisfactory (0.00%)             2: Less Than Satisfactory (65.00%)     3: Satisfactory (75.00%) 4: Good (85.00%)            5: Excellent (100.00%)

Content              100.0%

Two Quantitative Articles            10.0%   Fewer than two articles are presented. None of the articles presented use quantitative research.             N/A       Two articles are presented. Of the articles presented, only one articles are based on quantitative research     N/A       Two articles are presented. Both articles are based on quantitative research. HLT 362 Article Analysis 2 Assignment

Article Citation and Permalink    10.0%   Article citation and permalink are omitted.             Article citation and permalink are presented. There are significant errors. Page numbers are not indicated to cite information, or the page numbers are incorrect.       Article citation and permalink are presented. Article citation is presented in APA format, but there are errors. Page numbers to cite information are missing, or incorrect, in some areas.         Article citation and permalink are presented. Article citation is presented in APA format. Page numbers are used in to cite information. There are minor errors.              Article citation and permalink are presented. Article citation is accurately presented in APA format. Page numbers are accurate and used in all areas when citing information.

Broad Topic Area/Title   10.0%   Broad topic area and title are omitted.   Broad topic area and title are referenced but are incomplete.   Broad topic area and title are summarized. There are some minor inaccuracies.            Broad topic area and title are presented. There are some minor errors, but the content overall is accurate.         Broad topic area and title are fully presented and accurate.

Hypothesis         10.0%   Definition of hypothesis is omitted. The definition of the hypothesis is incorrect.         Hypothesis is summarized. There are major inaccuracies or omissions.          Hypothesis is generally defined. There are some minor inaccuracies.            Hypothesis is defined. Hypothesis is generally defined. There are some minor inaccuracies.      Hypothesis is accurate and clearly defined.

Independent and Dependent Variable Type and Data for Variable             10.0%              Variable types and data for variables are omitted.            Variable types and data for variables are presented. There are major inaccuracies or omissions.         Variable types and data for variables are presented. There are inaccuracies.     Variable types and data for variables are presented. Minor detail is needed for accuracy.     Variable types and data for variables are presented and accurate.

Population of Interest for the Study        10.0%   Population of interest for the study is omitted.             Population of interest for the study is presented. There are major inaccuracies or omissions.         Population of interest for the study is presented. There are inaccuracies.          Population of interest for the study is presented. Minor detail is needed for accuracy. Population of interest for the study is presented and accurate.

Sample 10.0%   Sample is omitted.          Sample is presented. There are major inaccuracies or omissions.          Sample is presented. There are inaccuracies.              Sample is presented. Minor detail is needed for accuracy. Page citation for sample information is provided.        Sample is presented and accurate. Page citation for sample information is provided.

Sampling Method           10.0%   Sampling method is omitted.      Sampling is presented. There are major inaccuracies or omissions.   Sampling is presented. There are inaccuracies. Page citation for sample information is omitted.              Sampling is presented. Minor detail is needed for accuracy.              Sampling method is presented and accurate.

HLT 362V Topic 1 Discussion 1

Discuss the historical application of statistics in the field of health care. Describe an example, other than Florence Nightingale’s contributions, where statistical application has greatly influenced or changed health care operations or practice.

HLT362V Topic 1 Discussion 2

Discuss why it is important for a person working in health care to understand statistical concepts.  Provide an example of how statistical data is used in your organization or specialty area today and what you are expected to do with this information as a practitioner.

HLT 362V  TOPIC 2 DISCUSSION 1

Select a research article, other than the articles from your assignments, from the GCU library. Provide an overview of the study and describe the strategy that was used to select the sample from the population. Evaluate the effectiveness of the sampling method selected. Provide support for your answer. Include the article title and permalink in your post.

HLT362V Topic 2 Discussion 2

Using the research article selected for DQ 1, identify three key questions you will ask and answer when reading the research study and why these questions are important. When responding to peers, provide other questions and answers that could be considered in relation to the peers’ studies.

HLT362V  TOPIC 3 DISCUSSION 1

Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis. Discuss why this is important in your practice and with patient interactions.

HLT362V Topic 3 Discussion 2

Evaluate and provide examples of how hypothesis testing and confidence intervals are use together in health care research. Provide a workplace example that illustrates your ideas.

HLT362V  TOPIC 4 DISCUSSION 1

Provide an example of experimental, quasi-experimental, and nonexperimental research from the GCU Library and explain how each research type differs from the others. When replying to peers, evaluate the effectiveness of the research design of the study for two of the examples provided.

HLT362V Topic 4 Discussion 2

Describe the difference between research and quality improvement. Provide a workplace example where qualitative and quantitative research is …..and how it was use within your organization. When replying to peers, discuss how these research findings might be incorporated into another health care setting.

HLT362V TOPIC 5 DISCUSSION 1

Describe how epidemiological data influences changes in health practices. Provide an example and explain what data would be necessary to make a change in practice.

HLT362V Topic 5 Discussion 2

Discuss ways your organization uses technology to gather patient and health care information, and how this information and data are use to direct patient care and outcomes.

Exercise 14

Understanding Simple Linear Regression

  • According to the study narrative and Figure 1 in the Flannigan et al. (2014) study, does the APLS UK formulae under- or overestimate the weight of children younger than 1 year of age? Provide a rationale for your answer.
  • Using the values a = 3.161 and b = 0.502 with the novel formula in Figure 1, what is the … weight in kilograms (kg) for a child at 9 months of age? Show your calculations.
  • Using the values a = 3.161 and b = 0.502 with the novel formula in Figure 1, what is the … weight in kilograms for a child at 2 months of age? Show your calculations.
  • In Figure 2, the formula for calculating y (weight in kg) is Weight in kg = (0.176 × age in months) + 7.241. Identify the y intercept and the slope in this formula.
  • Using the values a = 7.241 and b = 0.176 with the novel formula in Figure 2, what is the … weight in kilograms for a child 3 years of age? Show your calculations.
  • Using the values a = 7.241 and b = 0.176 with the novel formula in Figure 2, what is the … weight in kilograms for a child 5 years of age? Show your calculations.
  • In Figure 3, some of the actual mean weights represented by the blue line with squares are above the dotted straight line for the novel formula, but others are below the straight line. Is this an expected finding? Provide a rationale for your answer.
  • In Figure 3, the novel formula is (Weight in kilograms = (0.331 × Age in months) – 6.868. What is the predicted weight in kilograms for a child 10 years old? Show your calculations.
  • Was the sample size of this study adequate for conducting simple linear regression? Provide a rationale for your answer.
  • Describe one potential clinical advantage and one potential clinical problem with using the three novel formulas presented in Figures 1, 2, and 3 in a PICU setting.

Exercise 19

Understanding Pearson Chi-Square

  • According to the relevant study results section of the Darling-Fisher et al. (2014) study, what categories are reported to be statistically significant?
  • What level of measurement is appropriate for calculating the χ2 statistic? Give two exam¬ples from Table 2 of demographic variables measured at the level appropriate for χ2.
  • What is the χ2 for U.S. practice region? Is the χ2 value statistically significant? Provide a rationale for your answer. X2= 29.68; p= <.00
  • What is the df for provider type? Provide a rationale for why the df for provider type pre¬sented in Table 2 is correct.
  • Is there a statistically significant difference for practice setting between the Rapid Assessment for Adolescent Preventive Services (RAAPS) users and nonusers? Provide a rationale for your answer.
  • State the null hypothesis for provider age in years for RAAPS users and RAAPS nonusers.
  • Should the null hypothesis for provider age in years developed for Question 6 be accepted or rejected? Provide a rationale for your answer.
  • Describe at least one clinical advantage and one clinical challenge of using RAAPS as described by Darling-Fisher et al. (2014).
  • How many null hypotheses are rejected in the Darling-Fisher et al. (2014) study for the results presented in Table 2? Provide a rationale for your answer.
  • A statistically significant difference is present between RAAPS users and RAAPS nonusers for U.S. practice region, χ2 = 29.68. Does the χ2 result provide the location of the difference? Provide a rationale for your answer.

Exercise 29

Calculating Simple Linear Regression

  • If you have access to SPSS, compute the Shapiro-Wilk test of normality for the variable age (as demonstrated in Exercise 26). If you do not have access to SPSS, plot the frequency distributions by hand. What do the results indicate?
  • State the null hypothesis where age at enrollment is used to predict the time for comple¬tion of an RN to BSN program.
  • What is b as computed by hand (or using SPSS)?
  • What is a as computed by hand (or using SPSS)?
  • Write the new regression equation.
  • How would you characterize the magnitude of the obtained R2 value? Provide a rationale for your answer.
  • How much variance in months to RN to BSN program completion is explained by knowing the student’s enrollment age?
  • What was the correlation between the actual y values and the predicted y values using the new regression equation in the example?
  • Write your interpretation of the results as you would in an APA-formatted journal.
  • Given the results of your analyses, would you use the calculated regression equation to predict future students’ program completion time by using enrollment age as x? Provide a rationale for your answer.

HLT 362V Module 1 Mean Variance Standard Deviation

Please type you answer in the cell beside the question.

  • Identify the sampling technique being used. Every 20th patient that comes into the emergency room is given a satisfaction survey upon their discharge.
  • random sampling
  • cluster sampling
  • systematic sampling
  • stratified sampling
  • none of the above
  • The formula for finding the sample mean is ______________.
  • The formula for finding sample standard deviation is ________________.

HLT 362V Module 1 Exercise 16 Done

1- The researchers analyzed the data they collected as though it were at what level of measurement? (Your choices are: Nominal, Ordinal, Interval/ratio, or Experimental)

2- What was the mean posttest empowerment score for the control group?

3- Compare the mean baseline and posttest depression scores of the experimental group. Was this an expected finding? Provide a rationale for your answer.

4- Compare the mean baseline and posttest depression scores of the control group. Do these scores strengthen or weaken the validity of the research results? Provide a rationale for your answer.

5- Which group’s test scores had the least amount of variability or dispersion? Provide a rationale for your answer.

6 – Did the empowerment variable or self-care self-efficacy variable demonstrate the greatest amount of dispersion? Provide a rationale for your answer.

7 – The mean (X ̅) is a measure of a distribution while the SD is a measure of its scores. Both X ̅ and SD are statistics.

8 – What was the mean severity for renal disease for the research subjects? What was the dispersion or variability of the renal disease severity scores? Did the severity scores vary significantly between the control and the experimental groups? Is this important? Provide a rationale for your answer.

9 – Which variable was least affected by the empowerment program? Provide a rationale for your answer.

10 – Was it important for the researchers to include the total means and SDs for the study variables in Table 2 to promote the readers’ understanding of the study results? Provide a rationale for your answer.

HLT 362V M2 Population Sampling Distribution

For a normal distribution that has a mean of 100 and a standard deviation of 8. Determine the Z-score for each of the following X values:

Use the information in 1 A to determine the area or probability of the following:

P(x > 108)

HLT362 Week 3 Quiz.docx practice exam questions with answers 2021 solution

If you are conducting a study on the impacts of diet and exercise on high blood pressure and you take a

proportional sample based upon race/ethnicity, this would be an example of: ok

Simple random sample

Cluster sampling

Stratified sampling

Convenience sampling

• If a researcher does not select the appropriate level of significance (alpha) based upon prior

research or industry standard and concludes that the study found a statistical difference when in

fact there was no difference, this is referred to as: ok

Reliability

Type I error

Type II error

• To obtain a sample of 20 patients in ICU, clinician goes to the ICU and selects the current

patients. This is an example of a: ok

Judgement sampling

Simple random sampling

Snowball sampling

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article analysis 2 hlt 362

article analysis 2 hlt 362

HLT-362V Topic 2 Article Analysis 1

The interpretation of research in health care is essential to decision making. By understanding research, health care providers can identify risk factors, trends, outcomes for treatment, health care costs and best practices. To be effective in evaluating and interpreting research, the reader must first understand how to interpret the findings. You will practice article analysis in Topics 2, 3, and 5. For this assignment: Search the GCU Library and find three different health care articles that use quantitative research. Do not use articles that appear in the Topic Materials or textbook. Complete an article analysis for each using the "Article Analysis 1" template. Refer to the "Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial," in conjunction with the "Article Analysis Example 1," for an example of an article analysis. While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center. This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.  You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance

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HLT-362 Topic 2 DQ 1: Select a Research Article, Other Than the Articles From Your Assignments, From the GCU Library.

HLT-362 Topic 2 DQ 1: SELECT A RESEARCH ARTICLE, OTHER THAN FROM YOUR ASSIGNMENTS, FROM THE GCU LIBRARY

Select a research article, other than the articles from your assignments, from the GCU library HLT 362

Topic 2 DQ 1: HLT-362 Topic 2 DQ 1

Select a research article, other than the articles from your assignments, from the GCU library. Provide an overview of the study and describe the strategy that was used to select the sample from the population. Evaluate the effectiveness of the sampling method selected. Provide support for your answer. Include the article title and permalink in your post.

Reply to the discussion.HLT-362 Topic 2 DQ 1

Let’s gather some Sample for Data

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  • Gwain, G. C., Amu, H., & Bain, L. E. (2022). Improving Employee Mental Health: A Health Facility-Based Study in the United States.  FRONTIERS IN PUBLIC HEALTH ,  10 .  https://doi-org.lopes.idm.oclc.org/10.3389/fpubh.2022.895048

The overview of the study HLT-362 Topic 2 DQ 1

In this study they will be talking about how to improve employee’s mental health. Mental health is a very serious issue so it’s important that employees have good mental health because mental health is “person condition with their psychological and emotional well being “ so it’s important to try to find ways to improve staff’s mental health actually did you know that according to (the article ) that “in the us over 52.9 million adults lived with mental illness in 2020” well what about now.  

Method of research HLT-362 Topic 2 DQ 1

The method of research was amazing and is used to gather all 43 employees and finding out what employees are suffering and now to improve it so that the employees don’t become more depressed and have more stress added on because according to (article) “the CDC reports that depression interferes with a person ability to complete physical job tasks about 20% of the time and reduces performance about 35% of the time”  

The sample used HLT-362 Topic 2 DQ 1

The sample used in the study was astounding by having all 43 employees complete a patient depression survey and allowing employees to answer the survey honestly and openly without any discomfort regrading hopelessness, isolation, suicide and much more.

Click here to ORDER an A++ paper from our Verified MASTERS and DOCTORATE WRITERS: SELECT A RESEARCH ARTICLE, OTHER THAN FROM YOUR ASSIGNMENTS, FROM THE GCU LIBRARY HLT 362 

Conclusion HLT-362 Topic 2 DQ 1

In this study 43 employees were study to determine how to improve employee’s mental health in the process it shows that 30.2% employees were depressed but after developing the who healthy workplace model for employee’s mental health along with health which helps reduce depression as well. A second study showed that suicide rates went down 20% with healthy work practices. Overall I believe that they approach this situation great along with helping find a way to reduces depression. 

Unread HLT-362 Topic 2 DQ 1

Good article about Improving Employee Mental Health!!! You provided 43 employees as samples but the sampling method was missing for this article.

It is critical to evaluate research publications in order to determine their strengths and limitations in terms of providing high-quality research information to readers. When presenting data, researchers should not just supply the numbers because this raises the issue of where the data came from in the first place HLT-362 Topic 2 DQ 1 (Abramo & D’Angelo, 2011). In order to increase the credibility of the research, researchers should provide information on the methodologies they utilized to arrive at certain results in every study.

Furthermore, the researchers should bring out the constraints of their study as well as the impact that these limitations have on the validity of the data given in the research.

  • Abramo, G., & D’Angelo, C. A. (2011). Evaluating research: from informed peer review to bibliometrics.  Scientometrics ,  87 (3), 499-514.

article analysis 2 hlt 362

Summary of the Research Article

Sampling requires the researcher to determine the right type and number of individuals to represent the entire population (Ryan, 2018). The selected research article “Spiritual and Religious Issues of Stigmatization Women with Infertility: A Qualitative Study: Spiritual and Religious Issues of Stigmatization” by Akarsu & Beji in 2021.

The Purpose of the Research

According to the authors, “the purpose of this study is to determine the perceptions of women with infertility on stigma and religious and spiritual issues of stigmatization.”

Method of Research

The method used for this study was the phenomenological method with 12 women with infertility issues who were selected through the criterion sampling method. The phenomenological approach aims to describe, understand and interpret the meanings of experiences of human life. It focuses on research questions such as what it is like to experience a particular situation (Bloor & Wood, 2006).

The participants were aged between 20 and 39 years. The 12 women were interviewed for about 30-60 minutes and were asked open-ended questions about their reason for infertility, current emotional state, family reactions, general opinions, and effects of the stigmas.

In this study, Akarsu & Beji (2021) found that women related their infertility experience to stress and God’s will. In addition, the study showed that the participants had been subjected to others’ pity, stigmatization, and spiritual problems due to their inability to have children. They had suffered from social alienation due to others’ awareness of their infertility struggles. Furthermore, medical professionals stigmatized these women during their infertility treatments.

Evaluation of Sampling

I think that this was a great topic to research because many women have infertility and the shame of not being about to bear children. In my opinion and experience, many women do not talk about infertility because they feel inadequate as a woman, and they blame themselves for not being about to have children. The research sample method was sufficient.

However, I believe the researchers should have had a larger sample to conclude about women’s perception of infertility issues. According to Faber & Fonseca (2014), a good selection makes studies more effective. Very few samples compromise a study’s internal and external validity, causing both researchers and clinicians to be misled, potentially leading to treatment failure. I feel that the researchers did not get the correct number of individuals to represent the entire population.

  • Bloor, M. & Wood, F. (2006). Phenomenological methods. In Keywords in qualitative methods (pp. 129-130). SAGE Publications Ltd,  https://www.doi.org/10.4135/ 9781849209403
  • Faber, J., & Fonseca, L. M. (2014). How sample size influences research outcomes. Dental press journal of orthodontics, 19(4), 27–29.  https://doi.org/10.1590/2176- 9451.19.4.027-029.ebo
  • Höbek Akarsu, R., & Kızılkaya Beji, N. (2021). Spiritual and Religious Issues of Stigmatization Women with Infertility: A Qualitative Study: Spiritual and Religious Issues of Stigmatization. Journal of Religion and Health, 60(1), 256–267.  https://doi-   org.lopes.idm.oclc.org/10. 1007/s10943-019-00884-w
  • Ryan, Christina. (2018). Population and Sampling Distributions. Retrieved from: https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/#/chapter/2

Title: “The Impact of Social Media in Modern Healthcare”

 The article that I have selected is called “The Impact of Social Media in Modern Healthcare” and it was published in the International Journal of Health Sciences in 2016. The purpose of this study was to “investigate the impact of social media on modern healthcare from the perspective of healthcare professionals.”

The researchers used a survey to collect data from a total of 1,005 healthcare professionals from all over the world. The results of the study showed that social media has had a positive impact on healthcare, particularly in terms of communication, education, and patient care.

Overview of study

The study used a survey to collect data from healthcare professionals from all over the world. The sample was selected from the population by the researchers in order to investigate the impact of social media on modern healthcare.

Effectiveness of the sampling method selected

The sampling method selected for this study was effective because it allowed the researchers to collect data from a large number of healthcare professionals from all over the world. This allowed them to get a better understanding of how social media has impacted healthcare from the perspective of those who work in the field.

  Permalink of the article: https://search-ebscohost-com.proxy.library.gc.cuny.edu/login.aspxdirect=true&db=a9h&AN=116676061&site=eds-live

Good pick! “The Impact of Social Media in Modern Healthcare. ” We cannot argue that the rise of social media has impacted our world with some disadvantages and advantages. Social media when used correctly and under guidelines to prevent these risks, it is a great tool to be utilized in the healthcare industry.  Social media has many tools that healthcare providers can take advantage of. For example, networking platforms, blogs, media-sharing sites, and more (Ventola, 2014). Social media can be utilized to improve healthcare through patient education, public health programs, telehealth, and health promotion, just to mention some. According to the article 

“Social Media and Health Care Professionals: Benefits, Risks, and Best Practices,” Healthcare providers can use social media to potentially improve health outcomes, develop a professional network, increase personal awareness of news and discoveries, motivate patients, and provide health information to the community (Ventola, 2014). 

I enjoyed reading your post. Thank you for sharing. 

article analysis 2 hlt 362

  • Ventola C. L. (2014). Social media and health care professionals: benefits, risks, and best practices. P & T : a peer-reviewed journal for formulary management , 39 (7), 491–520.

I like the study you picked Amber. Social media matters across industries and health care is no exception. As more people have become active on social media, the medical field has embraced it and now incorporates social media into a number of health care strategies. Leaders in public health realize they can build comprehensive public health care plans through social media platforms and social media-driven strategies.

About 44% of individuals who research hospitals and doctors online end up scheduling an appointment, according to a study by Compete, Inc. According to the Southern Medical Association, 88% of physicians research medical tools and biotech data through the internet and social media platforms and According to research by Pew Research Center, 70% of the caregivers in their study said they looked online for medical advice and answers.

  • Ohio university online master of public health. (2020). The role of social media in health care. https://onlinemasters.ohio.edu/blog/social-media-in-healthcare/

article analysis 2 hlt 362

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This article covers HLT 362 Article Analysis.

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HLT 362 Article Analysis 1

The interpretation of research in health care is essential to decision making. By understanding research, health care providers can identify risk factors, trends, outcomes for treatment, health care costs and best practices. To be effective in evaluating and interpreting research, the reader must first understand how to interpret the findings. You will practice article analysis in Topics 2, 3, and 5.

For this assignment:

Search the GCU Library and find three different health care articles that use quantitative research. Do not use articles that appear in the Topic Materials or textbook. Complete an article analysis for each using the “Article Analysis 1” template. HLT 362 Article Analysis 1

Hlt 362 article analysis 1 essays

HLT 362 Article Analysis 1 Essays

Analysis Example 1,” for an example of an article analysis.

While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center. HLT 362 Article Analysis 1

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.

You are required to submit this assignment to LopesWrite. Refer to the  LopesWrite Technical Support articles  for assistance.

Article Analysis: Example 1

Article Citation Utens, C. M. A., Goossens, L. M. A., van Schayck, O. C. P., Rutten-van Mölken, M. P. M. H., van Litsenburg, W., Janssen, A., … Smeenk, F. W. J. M. (2013). Patient preference and satisfaction in hospital-at-home and usual hospital care for COPD exacerbations: Results of a randomised controlled trial. International Journal of Nursing Studies, 50, 1537–1549. doi.org/10.1016/j.ijnurstu.2013.03.006 Link: https://www.ncbi.nlm.nih.gov/pubmed/23582671 (Include permalink for articles from GCU Library.) HLT 362 Article Analysis 1

Category Description Broad Topic Area/Title The differences in preference and satisfaction based upon hospital care location for COPD exacerbations Variables and Type of Data for the Variables Treatment Location-categorical -“home treatment” and “hospital treatment” Satisfaction – Ordinal Scale (1-5) Preference – categorical “home treatment” and “hospital treatment”

Population of Interest for the Study COPD exacerbation patients from five hospitals and three home care organizations Sample

139 patients 69 from the usual hospital care group 70 from the early assisted discharge care group Sampling Method A randomized sampling method was used to select the patients who met the criteria for the study (p. 1540) Descriptive Statistics (mean, median, mode; standard deviation) Identify examples of descriptive statistics in the article. Example descriptive statistics: Usual hospital Age: Mean: 67.8 Standard deviation: 11.30

Early assisted discharge Age: Mean: 68.31 Standard deviation: 10.34 (p. 1540)

Inferential Statistics Identify examples of inferential statistics in the article. Example of inferential statistics: Overall satisfaction score: Tested difference between HC and EAD p-value .863 (p. 1543)

HLT 362V Topic 1 Discussion 1

Discuss the historical application of statistics in the field of health care. Describe an example, other than Florence Nightingale’s contributions, where statistical application has greatly influenced or changed health care operations or practice.

HLT362V Topic 1 Discussion 2

Discuss why it is important for a person working in health care to understand statistical concepts.  Provide an example of how statistical data is used in your organization or specialty area today and what you are expected to do with this information as a practitioner.

Description

HLT 362V Week 3 Assignment, Article Analysis 2 (Three Papers)

Search the GCU Library and find two new health care articles that use quantitative research. Do not use articles from a previous assignment, or articles that appear in the Topic Materials or textbook.

Complete an article analysis for each using the “Article Analysis: Part 2” template.

Refer to the “Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial,” in conjunction with the “Article Analysis Example 2,” for an example of an article analysis.

HLT 362V  Topic 2 Discussion 1

Select a research article, other than the articles from your assignments, from the GCU library. Provide an overview of the study and describe the strategy that was used to select the sample from the population. Evaluate the effectiveness of the sampling method selected. Provide support for your answer. Include the article title and permalink in your post.

HLT362V Topic 2 Discussion 2

Using the research article selected for DQ 1, identify three key questions you will ask and answer when reading the research study and why these questions are important. When responding to peers, provide other questions and answers that could be considered in relation to the peers’ studies.

HLT362V  Topic 3 Discussion 1

Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis. Discuss why this is important in your practice and with patient interactions.

HLT362V Topic 3 Discussion 2

Evaluate and provide examples of how hypothesis testing and confidence intervals are use together in health care research. Provide a workplace example that illustrates your ideas.

HLT362V  Topic 4 Discussion 1

Provide an example of experimental, quasi-experimental, and nonexperimental research from the GCU Library and explain how each research type differs from the others. When replying to peers, evaluate the effectiveness of the research design of the study for two of the examples provided.

HLT362V Topic 4 Discussion 2

Describe the difference between research and quality improvement. Provide a workplace example where qualitative and quantitative research is …..and how it was use within your organization. When replying to peers, discuss how these research findings might be incorporated into another health care setting.

HLT362V Topic 5 Discussion 1

Describe how epidemiological data influences changes in health practices. Provide an example and explain what data would be necessary to make a change in practice.

HLT362V Topic 5 Discussion 2

Discuss ways your organization uses technology to gather patient and health care information, and how this information and data are use to direct patient care and outcomes.

Course Code         Class Code           Assignment Title  Total Points

HLT-362V              HLT-362V-OL191   Article Analysis 1 120.0

Criteria  Percentage           1: Unsatisfactory (0.00%)   2: Less Than Satisfactory (65.00%)              3: Satisfactory (75.00%)     4: Good (85.00%)  5: Excellent (100.00%)

Content 100.0%

Three Quantitative Articles              10.0%     Fewer than three articles are presented. None of the articles presented use quantitative research.        N/A        Three articles are presented. Of the articles presented, only two articles are based on quantitative research.              N/A        Three articles are presented. All three articles are based on quantitative research.

Article Citation and Permalinka 2    10.0%     Article citation and permalink are omitted. Article citation and permalink are presented. There are significant errors. Page numbers are not indicated to cite information, or the page numbers are incorrect.             Article citation and permalink are presented. Article citation is presented in APA format, but there are errors. Page numbers to cite information are missing, or incorrect, in some areas.             Article citation and permalink are presented. Article citation is presented in APA format. Page numbers are used to cite information. There are minor errors.             Article citation and permalink are presented. Article citation is accurately presented in APA format. Page numbers are accurate and used in all areas when citing information. HLT 362 Article Analysis 1

Broad Topic Area/Title      10.0%     Broad topic area and title are omitted.         Broad topic area and title are referenced but are incomplete.           Broad topic area and title are summarized. There are some minor inaccuracies.       Broad topic area and title are presented. There are some minor errors, but the content overall is accurate.              Broad topic area and title are fully presented and accurate.

Independent and Dependent Variables and Type of Data for Variables    10.0%              Variable types and data for variables are omitted.     Variable types and data for variables are presented. There are major inaccuracies or omissions.              Variable types and data for variables are presented. There are inaccuracies.              Variable types and data for variables are presented. Minor detail is needed for accuracy.             Variable types and data for variables are presented and accurate.

Population of Interest for the Study 10.0%     Population of interest for the study is omitted. Population of interest for the study is presented. There are major inaccuracies or omissions. Population of interest for the study is presented. There are inaccuracies.        Population of interest for the study is presented. Minor detail is needed for accuracy.         Population of interest for the study is presented and accurate.

Sample   10.0%     Sample is omitted.             Sample is presented. There are major inaccuracies or omissions. Sample is presented. There are inaccuracies.              Sample is presented. Minor detail is needed for accuracy.      Sample is presented and accurate.

Sampling Method 10.0%     Sampling method is omitted.           Sampling is presented. There are major inaccuracies or omissions.   Sampling is presented. There are inaccuracies.        Sampling is presented. Minor detail is needed for accuracy.              Sampling method is presented and accurate.

Descriptive Statistics (mean, median, mode; standard deviation) (Identify examples of descriptive statistics in the article.)              10.0%     Descriptive statistic examples from the article are omitted. There are major inaccuracies or omissions.            N/A              Descriptive statistic examples from the article are presented. There are some very minor inaccuracies or omissions.            N/A        Descriptive statistic examples from the article are presented and accurate.

Inferential Statistics (Identify examples of inferential statistics in the article.)   10.0%              Inferential statistic examples from the article are omitted. There are major inaccuracies or omissions. N/A        Inferential statistic examples from the article are presented. There are some very minor inaccuracies or omissions.          N/A              Inferential statistic examples from the article are presented and accurate. Re: Topic 2 DQ 1 Singh, K., & Sharma. N. (2020). Clinical and laboratory parameters correlation with complications and mortality in community acquired pneumonia in a tertiary care hospital.  Journal of Clinical & Diagnostic Research ,  14 (4), 26–30.  https://eds-b-ebscohost-com.lopes.idm.oclc.org/eds/pdfviewer/pdfviewer?vid=2&sid=0ad11621-0b1e-4976-8ab2-cdfeebae788c%40pdc-v-sessmgr06 Link- https://eds-b-ebscohost-com.lopes.idm.oclc.org/eds/pdfviewer/pdfviewer?vid=1&sid=06f49b2a-d845-41d4-ae3d-74d9de4f8b8f%40pdc-v-sessmgr06 (please copy and paste the url in GCU library to view the article)Singh and Sharma (2020) conducted a prospective study to find out the clinical and biochemical profile of patients admitted with the diagnosis of community acquired pneumonia (CAP) and to see the association with various complication and outcomes. This study analyzed the various clinical and laboratory parameters and correlated with different outcomes in patients with CAP. This was a prospective, observational hospital study held at the emergency and medicine ward at a tertiary hospital in India, between 2018 to 2019. The inclusion criteria for the study was patients over the age of 18 years with clinical signs and symptoms suggestive of pneumonia which was confirmed with radiological evidence of infiltrates consistent with consolidation. The sample size was 130 and the age of the participants ranged from 18-90 years.The researchers found that early diagnosis, prompt severity scoring, early sepsis management and monitoring could reduce mortality in CAP (Singh & Sharma, 2020). Managing comorbid conditions such as diabetes, chronic obstructive pulmonary disease, hypertension, and others need to be managed precisely to prevent adverse outcomes due to CAP.The researchers calculated the sample size on the on the basis of 95% confidence level and 10% anticipated difference between detection rate of pneumonia, which is an appropriate way to calculate the sample size (Rayan, 2018). Though the sample size calculated was 116, a total of 130 were included to adjust dropouts during the study (Singh & Sharma, 2020).Rayan, C. (2018). Population and sampling distribution. Grand Canyon University. Retrieved from  https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/#/chapter/2

HLT 362V Week 1 Assignment: Mean, Variance and Standard Deviation Excel Worksheet

Please type your answer in the cell beside the question.

  • Identify the sampling technique being used. Every 20th patient that comes into the emergency room is given a satisfaction survey upon their discharge: a. random sampling b. cluster sampling c. systematic sampling d. stratified sampling e. none of the above
  • The formula for finding the sample mean is ______________.
  • The formula for finding sample standard deviation is ________________.
  • The computation form for sample variance is ___________________.
  • The ……….. heart rate for 10 randomly selected patients on the unit. Find the mean, variance, and standard deviation of the data using the descriptive statistics option in the data analysis toolpak.

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Hlt 362 article analysis

HLT362V Week 1 Workbook Exercises:

  • What are the frequency and percentage of the COPD patients in the severe airflow limitation group who are employed in the Eckerblad et al. (2014) study?
  • What percentage of the total sample is retired? … percentage of the total sample is on sick leave?
  • What is the total sample size of this study? What frequency and percentage of the total sample were still employed? Show your calculations and round your answer to the nearest whole percent.
  • What is the total percentage of the sample with a smoking history—either still smoking or former smokers? Is the smoking history for study participants clinically important? Provide a rationale for your answer.
  • What are pack years of smoking? Is there a signifi cant difference between the moderate and severe airfl ow limitation groups regarding pack years of smoking? Provide a rationale for your answer.
  • What were the four most common psychological symptoms reported by this sample of patients with COPD? What percentage of these subjects experienced these symptoms? Was there a sig-nifi cant difference between the moderate and severe airfl ow limitation groups for psychological symptoms?
  • What frequency and percentage of the total sample used short-acting β 2 -agonists? Show your calculations and round to the nearest whole percent.
  • Is there a significant difference between the moderate and severe airfl ow limitation groups regarding the use of short-acting β 2 -agonists? Provide a rationale for your answer.
  • Was the percentage of COPD patients with moderate and severe airfl ow limitation using short-acting β 2 -agonists what you expected? Provide a rationale with documentation for your answer.
  • Are these findings ready for use in practice?
  • The number of nursing students enrolled in a particular nursing program between the years of 2010 and 2016, respectively, were 563, 593, 606, 520, 563, 610, and 577. Determine the mean ( X ), median ( MD ), and mode of the number of the nursing students enrolled in this program. Show your calculations.
  • What is the mode for the variable inpatient complications in Table 2 of the Winkler et al. (2014) study? What percentage of the study participants had this complication?
  • Does the distribution of inpatient complications have a single mode, or is this distribution bimodal or multimodal? Provide a rationale for your answer.
  • 4. As reported in Table 1 , what are the three most common cardiovascular medical history events in this study, and why is it clinically important to know the frequency of these events?
  • What are the mean and median lengths of stay (LOS) for the study participants?
  • Are the mean and median for LOS similar or different? What might this indicate about the distribution of the sample? Provide a rationale for your answer.
  • Examine the study results and determine the mode for arrhythmias experienced by the partici-pants. What was the second most common arrhythmia in this sample?
  • Was the most common arrhythmia in Question 7 related to LOS? Was this result statistically signifi cant? Provide a rationale for your answer.
  • What study variables were independently predictive of the 50 premature ventricular contractions (PVCs) per hour in this study?
  • In Table 1 , what race is the mode for this sample? Should these study fi ndings be generalized to American Indians with ACS?
  • What were the name and type of measurement method used to measure Caring Practices in the Roch, Dubois, and Clarke (2014) study?
  • The data collected with the scale identified in Questions 1 were at what level of measurement? Provide a rationale for your answer.
  • What were the subscales included in the CNPISS used to measure RNs ’ perceptions of their Caring Practices? Do these subscales seem relevant? Document your answer.
  • Which subscale for Caring Practices had the lowest mean? … does this result indicate?
  • What were the dispersion results for the Relational Care subscale of the Caring Practices in Table 2 ? What do these results indicate?
  • Which subscale of Caring Practices has the lowest dispersion or variation of scores? Provide a rationale for your answer.
  • Which subscale of Caring Practices had the highest mean? … do these results indicate?
  • Compare the Overall rating for Organizational Climate with the Overall rating of Caring Practices. What do these results indicate?
  • The response rate for the survey in this study was 45%. Is this a study strength or limitation? Provide a rationale for your answer.
  • What conclusions did the researchers make regarding the caring practices of the nurses in this study? How might these results affect your practice?

Exercise 11

  • What demographic variables were measured at least at the interval level of measurement?
  • What statistics were used to describe the length of labor in this study? Were these appropriate?
  • What other statistic could have been used to describe the length of labor? Provide a rationale for your answer.
  • Were the distributions of scores similar for the experimental and control groups for the length of labor? Provide a rationale for your answer.
  • Were the experimental and control groups similar in their type of feeding? Provide a rationale for your answer.
  • What was the marital status mode for the subjects in the experimental and control groups? Provide both the frequency and percentage for the marital status mode for both groups.
  • …………… determined for the education data? If so, what would the median be for education for the experimental and the control groups? Provide a rationale for your answer.
  • …………… to Black women? Provide a rationale for your answer.
  • If there were 32 subjects in the experimental group and 36 subjects in the control group, why is the income data only reported for 30 subjects in the experimental group and 34 subjects in the control group?
  • …….. sample for this study adequately described? Provide a rationale for your answer.

Exercise 16

  • The researchers analyzed the data they collected as though it were at what level of measurement? 1. Nominal 2. Ordinal 3. Interval/ratio 4. Experimental
  • What was the mean posttest empowerment score for the control group?
  • Compare the mean baseline and posttest depression scores of the experimental group. ………. Provide a rationale for your answer.
  • Compare the mean baseline and posttest depression scores of the control group. Do these scores strengthen or weaken the validity of the research results? Provide a rationale for your answer.
  • Which group’s test scores had the least amount of variability or dispersion? Provide a rationale for your answer.
  • Did the empowerment variable or self-care self-efficacy variable demonstrate the greatest amount of dispersion? Provide a rationale for your answer.
  • The mean (X ̅) is a measure of a distribution while the SD is a measure of its scores. Both X ̅ and SD are statistics.
  • What was the mean severity for renal disease for the research subjects? What was the dispersion or variability of the renal disease severity scores? Did the severity scores vary significantly between the control and the experimental groups? Is this important? Provide a rationale for your answer.
  • Which variable was …………. ? Provide a rationale for your answer.
  • Was it important for the researchers to include the total means and SDs for the study variables in Table 2 to promote the readers’ understanding of the study results? Provide a rationale for your answer.

Exercise 27

  • What is the mean age of the sample data?
  • … percentage of patients never used tobacco?
  • What is the standard deviation for age?
  • Are there outliers among the values of age? Provide a rationale for your answer.
  • What is the range of age values?
  • … percentage of patients were taking infl iximab?
  • What percentage of patients had rheumatoid arthritis as their primary diagnosis?
  • What percentage of patients had irritable bowel syndrome as their primary diagnosis?
  • … is the 95% CI for age?
  • What percentage of patients had psoriatic arthritis as their primary diagnosis?

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HLT362 Week 3 Quiz.docx practice exam questions with answers 2021 solution

If you are conducting a study on the impacts of diet and exercise on high blood pressure and you take a

proportional sample based upon race/ethnicity, this would be an example of: ok

Simple random sample

Cluster sampling

Stratified sampling

Convenience sampling

• If a researcher does not select the appropriate level of significance (alpha) based upon prior

research or industry standard and concludes that the study found a statistical difference when in

fact there was no difference, this is referred to as: ok

Reliability

Type I error

Type II error

• To obtain a sample of 20 patients in ICU, clinician goes to the ICU and selects the current

patients. This is an example of a: ok

Judgement sampling

Simple random sampling

Snowball sampling

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HLT362 FULL COURSE – STATISTICS

HLT 362 Applied Statistics for Health care Professionals

Week 1 Discussion

DQ1 Discuss the historical application of statistics in the field of health care. Describe an example, other than Florence Nightingale’s contributions, where statistical application has greatly influenced or changed health care operations or practice.

DQ2 Discuss why it is important for a person working in health care to understand statistical concepts. Provide an example of how statistical data is used in your organization or specialty area today and what you are expected to do with this information as a practitioner.

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Hlt362 full course – statistics week 2 discussion.

DQ1 Select a research article, other than the articles from your assignments, from the library. Provide an overview of the study and describe the strategy that was used to select the sample from the population. Evaluate the effectiveness of the sampling method selected. Provide support for your answer. Include the article title and permalink in your post.

DQ2 Using the research article selected for DQ 1, identify three key questions you will ask and answer when reading the research study and why these questions are important. When responding to peers, provide other questions and answers that could be considered in relation to the peers’ studies.

Week 3 Discussion

DQ1 Provide two different examples of how research uses hypothesis testing, and describe the criteria for rejecting the null hypothesis. Discuss why this is important in your practice and with patient interactions.

DQ2 Evaluate and provide examples of how hypothesis testing and confidence intervals are used together in health care research. Provide a workplace example that illustrates your ideas.

HLT362 Applied Statistics for Health care Professionals

Week 4 Discussion

DQ1 Provide an example of experimental, quasi-experimental, and nonexperimental research from the Library and explain how each research type differs from the others. When replying to peers, evaluate the effectiveness of the research design of the study for two of the examples provided.

DQ2 Describe the difference between research and quality improvement. Provide a workplace example where qualitative and quantitative research is applied and how it was used within your organization. When replying to peers, discuss how these research findings might be incorporated into another health care setting.

HLT362 FULL COURSE – STATISTICS Week 5 Discussion

DQ1 Describe how epidemiological data influences changes in health practices. Provide an example and explain what data would be necessary to make a change in practice.

DQ2 Discuss ways your organization uses technology to gather patient and health care information, and how this information and data are used to direct patient care and outcomes.

HLT362 FULL COURSE – STATISTICS Week 1 Assignment

Application of Statistics in Health Care

Statistical application and the interpretation of data is important in health care. Review the statistical concepts covered in this topic. In a 750-1,000 word paper, discuss the significance of statistical application in health care. Include the following:

Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.

Consider your organization or specialty area and how you utilize statistical knowledge. Discuss how you obtain statistical data, how statistical knowledge is used in day-to-day operations and how you apply it or use it in decision making.

Three peer-reviewed, scholarly or professional references are required.

Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.

HLT  362 Applied Statistics for Health care Professionals

HLT362 FULL COURSE – STATISTICS Week 2 Assignment

Article Analysis 1

The interpretation of research in health care is essential to decision making. By understanding research, health care providers can identify risk factors, trends, outcomes for treatment, health care costs and best practices. To be effective in evaluating and interpreting research, the reader must first understand how to interpret the findings. You will practice article analysis in Topics 2, 3, and 5.

For this assignment:

Search the Library and find three different health care articles that use quantitative research. Do not use articles that appear in the Topic Materials or textbook. Complete an article analysis for each using the “Article Analysis 1” template.

Refer to the “Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial,” in conjunction with the “Article Analysis Example 1,” for an example of an article analysis.

While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center.

You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance

Article Citation and Permalink(APA format)

Description

Broad Topic Area/Title

Identify Independent and Dependent Variablesand Type of Data for the Variables

Population of Interest for the Study

Sampling Method

Descriptive Statistics (Mean, Median, Mode; Standard Deviation)

Identify examples of descriptive statistics in the article.

Inferential Statistics

Identify examples of inferential statistics in the article.

HLT362 FULL COURSE – STATISTICS Week 3 Assignment

Article Analysis 2

Search the Library and find two new health care articles that use quantitative research. Do not use articles from a previous assignment, or articles that appear in the Topic Materials or textbook.

Complete an article analysis for each using the “Article Analysis: Part 2” template.

Refer to the “Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial,” in conjunction with the “Article Analysis Example 2,” for an example of an article analysis.

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Hlt362 full course – statistics week 4 assignment.

Quality Improvement Proposal

Identify a quality improvement opportunity in your organization or practice. In a 1,250-1,500 word paper, describe the problem or issue and propose a quality improvement initiative based on evidence-based practice. Apply “The Road to Evidence-Based Practice” process, illustrated in Chapter 4 of your textbook, to create your proposal.

Include the following:

Provide an overview the problem and the setting in which the problem or issue occurs.

Explain why a quality improvement initiative is needed in this area and the expected outcome.

Discuss how the results of previous research demonstrate support for the quality improvement initiative and its projected outcomes. Include a minimum of three peer-reviewed sources published within the last 5 years, not included in the course materials or textbook, that establish evidence in support of the quality improvement proposed.

Discuss steps necessary to implement the quality improvement initiative. Provide evidence and rationale to support your answer.

Explain how the quality improvement initiative will be evaluated to determine whether there was improvement.

Support your explanation by identifying the variables, hypothesis test, and statistical test that you would need to prove that the quality improvement initiative succeeded.

HLT362 FULL COURSE – STATISTICS Week 5 Assignment

Summary and Descriptive Statistics

There is often the requirement to evaluate descriptive statistics for data within the organization or for health care information. Every year the National Cancer Institute collects and publishes data based on patient demographics. Understanding differences between the groups based upon the collected data often informs health care professionals towards research, treatment options, or patient education.

Using the data on the “National Cancer Institute Data” Excel spreadsheet, calculate the descriptive statistics indicated below for each of the Race/Ethnicity groups. Refer to your textbook and the Topic Materials, as needed, for assistance in with creating Excel formulas.

Provide the following descriptive statistics:

Measures of Central Tendency: Mean, Median, and Mode

Measures of Variation: Variance, Standard Deviation, and Range (a formula is not needed for Range).

Once the data is calculated, provide a 150-250 word analysis of the descriptive statistics on the spreadsheet. This should include differences and health outcomes between groups.

APA style is not required, but solid academic writing?is expected.

You are not required to submit this assignment to LopesWrite.

American Indian / Alaska Native (includes Hispanic) Asian / Pacific Islander (includes Hispanic) Black (includes Hispanic) Hispanic (any race) White (includes Hispanic) National Cancer Institute (2018) Lung and bronchus cancer. Retrieved from Janary 8, 2019 from  https://seer.cancer.gov/explorer/application.php

Year of Diagnosis Rate per 100,000 Rate per 100,000 Rate per 100,000 Rate per 100,000 Rate per 100,000

2000 45.7 41.8 77.8 34.2 68.8

2001 47.9 41 79 34.1 68.7

2002 44.6 40.4 75.8 34.1 68

2003 50 40.9 77.3 34.5 67.1

2004 51.7 40.5 75.1 35 65.8

2005 48.7 40.2 73.7 33.8 65.9

2006 46.4 39.8 73.4 32 65.8

2007 43.1 38.8 71.2 32.7 65.2

2008 45 38.5 70.8 32.2 63.9

2009 40.1 39 71.6 31.8 63.1

2010 42.4 37 67.8 30.3 60.4

2011 39.6 36.6 64.1 29.4 58.5

2012 36.6 36.7 64.3 28.2 57.5

2013 39.9 36.6 60.5 28.8 56.3

2014 32 34 61.3 26.8 55.4

2015 38.7 34.4 57.4 26 53.2

Week 5 Assignment

Article Analysis and Evaluation of Research Ethics

Search the Library and find one new health care article that uses quantitative research. Do not use an article from a previous assignment, or that appears in the Topic Materials or textbook.

Complete an article analysis and ethics evaluation of the research using the “Article Analysis and Evaluation of Research Ethics” template. See Chapter 5 of your textbook as needed, for assistance.

Article Citation and Permalink

(APA format)

Problem Statement

(What is the problem research is addressing?)

Purpose Statement

(What is the purpose of the study?)

Research Questions

(What questions does the research seek to answer?)

Define Hypothesis

(Or state the correct hypothesis based upon variables used)

Identify Dependent and Independent Variablesand Type of Data for the Variables

Population of Interest for Study

Identify Data Collection

Identify how data were collected

Summarize Data Collection Approach

Discuss Data Analysis

Include what types of statistical tests were used for the variables.

Summarize Results of Study

Summary of Assumptions and Limitations

Identify the assumptions and limitations from the article.

Report other potential assumptions and limitations ofyour review not listed by the author.

Ethical Considerations

Evaluate the article and identify potential ethical considerations that may have occurred when sampling, collecting data, analyzing data, or publishing results. Summarize your findings below in 250-500 words. Provide rationale and support for your evaluation. HLT362 FULL COURSE – STATISTICS

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HLT-362V-Applied Statistics for Health Care Professionals Quiz 2 1. To obtain a sample of 20 patients in ICU, clinician goes to the ICU and selects the current patients. This is an example of a: A. Judgement sampling B. Snowball sampling C. *Convenience sampling D. Simple random sampling ...

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    HLT-362V Topic 2 Article Analysis 1. The interpretation of research in health care is essential to decision making. By understanding research, health care providers can identify risk factors, trends, outcomes for treatment, health care costs and best practices. To be effective in evaluating and interpreting research, the reader must first ...

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  17. HLT 362V Topic 2 Assignment; Article Analysis 1

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  18. HLT 362V Applied Statistics for Health Care Professionals Quiz 2

    Quantitative research strives for quality and the ability to apply the analysis to a broader population. This is referred to as _____. A. Normality B. Reliability C. *Generalization D. Validity 5. ... HLT 362; Exam (elaborations) HLT 362V Applied Statistics for Health Care Professionals Quiz 2 Completed and Graded AA. Course; HLT 362; Institution;