Can you answer #\'s 1-5 seen photo #1 using the article given using the photos #

Question

Can you answer #'s 1-5 seen photo #1 using the article given using the photos #2-7?

Please read the Millar et al. (2017) article and review the session 1 slides, and then answer the following questions. They will be graded as 0/1 for completion regardless of right/wrong answers. Please answer all parts of the question in order to receive a total score of 5. 1. 2. 3. What is a variable? Define independent and dependent variables What is a population in Statistics? What is the target population in the study described by the authors? What is a sample in Statistics? What is the sample size of the study conducted by the authors? Independent variables are also called exposure and dependent variables are known as outcome. Do you agree or disagree? 4. 5. Identify the independent and dependent variables under investigation in the article. How were they operationalized?

Explanation / Answer

1.
A population in statistics refers to entire set of observations from which a sample can be made.
The target population in the study are Older adults with age 50 or older living with HIV.

2.
A sample in statistics is a subset of observations selected from a statistical population by a defined procedure. The size of the sample is very less as compared to the size of the population.
The final sample size in the study was 114 Older adults living with HIV.

3.
A variable is any characteristics, number, or quantity that can be measured or counted.
An independent variable is the variable that is changed or controlled in the study to test the effects on the dependent variable.
A dependent variable is the variable being tested and measured in the study.

4.
In the study, we provide subjects to various exposures by varying the independent variables and noted the outcome which is the dependent variable.
Thus, we agree that the independent variables are also called exposure and dependent variables are known as outcome.

5.
Independent variables are - Age, Race/ethnicity, Gender, Education, Relationship status, Depression, Substance use problems and Comorbid health conditions
Dependent variable is Quality of life
First bivariate correlations among variables depression, Substance use problems and quality of life were calculated using Pearson's product-moment coefficient.
Then bivariate correlations among variables comorbid conditions and age was assessed using Kendall's tau.
Two mulivariable regression model were run with dependent variable as Quality of life.
The predictor variables in the first model were Age, Race/ethnicity, Gender, Education, Relationship status, Depression and Substance use problems.
For the second model, Comorbid health conditions was entered wo check for the change in R-squared value of the model.
The findings of the model showed the relevance of depression, Substance use problems and Comorbid health conditions on quality of life among OALWH.

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