Preparing the Discussion section. If the simulated results confirm the hypothesized relationship between your variables, identify at least one explanation of why the association likely exists. If the simulated results contradict the predicted relationship between your variables, identify at least one explanation of why that would be.   

Kim is trying to determine which statistical analysis to use for her research study. She wants to determine which variables “predict” or explain academic success in the freshmen year. Mary believes that high school GPA, SAT scores, level of social support during the freshman year, and academic self-efficacy can be good predictors of academic success in the freshmen year. Which analysis should Kim select?

Regression analyses allow us to obtain a ______ that lets us estimate (or predict) the value of one variable (e.g., anxiety level) based on the values of a set of other variables (e.g., age, gender, years of education). 

Inferential Statistics. Read the text and slides on the various types of inferential statistical analyses (some selected slides are included below). Watch the following video. https://www.youtube.com/watch?v=6E6pB5JFLgM  

Inferential statistics. A counseling researcher is interested in the linear relationship between family characteristics, including number of siblings, family cohesion, and frequency of contact with extended family (e.g., grandparents, cousins), and child happiness. What statistical test best matches the research design of her study?   

Extra credit What would be the most appropriate name for this design:              C    O    X    O C    O           O   

Extra credit Which of the following statements is true concerning the General Linear Model (GLM):

Extra credit  A situation in which the treatment, program, or intervention had no effect:

Extra credit Which of the following statements is FALSE:

The probability of making a correct decision (to reject the null hypothesis) when the null hypothesis is false: