Study Guide Flashcards
What type of data will be collected in the survey?
The survey will collect quantitative and ordinal self reported responses from college students on their frequency of prayer, religious service, attendance, and subjective well being.
How will each participants data be organized for analysis?
Each participant will be assigned an random subject ID, and associated with four data points: subject ID, frequency of prayer, frequency of religious service attendance, and subjective well-being value :
What statistical methods will be used to analyze the data? 
Descriptive statistics, Spearmen’s rank correlation, Pearson’s correlation coefficient, and linear regression models will be used. 
What is the purpose of using Spearman’s rank correlation in this study?
To test the hypothesis that there is a positive correlation between the frequency of prayer and service attendance, and subjective well-being.
What does a strong positive correlation in Spearman’s test indicate?
A Spearman’s rank correlation value R(s) greater than 0.7 with p< 0.05 indicates a strong positive correlation between variables .
How will the relationship between religious practice and subjective well-being be visually represented?
Through scatterplots with linear regression lines , to illustrate the predicted relationship between the frequency of religious practice, and SWLS scores.
What are the expectations from the Pearson’s correlation efficient in this analysis?
If the correlation is linear, Pearson’s values is expected to be greater then 0.5 with p <0.05. For nonlinear, but positive correlations Pearson’s r may be less than 0.5 while Rs > 0.7 and Spearman’s p <0.05. 
What hypothesis will the linear regression model test?
The models will test whether the frequency of religious service, attendance and prayer significantly affect subjective well-being scores.
How will data cleanliness be insured? 
Data will be transcribed, cleaned, and any missing or unclear values will be labeled as absent, with the new dataset excluding any participants with missing values created for analysis. 
What ethical consideration are emphasized in the data handling?
Ensuring voluntary participation, confidentiality, and the absence of personal identifying information collection.
