Chi-Square
Multivariate ANOVA
Multi-factor ANOVA
Hierarchical Regression (Moderation)
100

To conduct a Chi-Square test, there MUST be a minimum of _________ in each category. 

5 cases for the expected frequency 

100

Allows you to examine effect of each IV separately as well as the _____________________________ on 2+ Dependent Variables

..."interaction of those IVs"

100

           TRUE                  or               FALSE

Multi-factor ANOVA allows you to examine effects on multiple (more than 1) dependent variables.

          

FALSE

100

Hierarchical regression: Moderation is referred to as the ______________ analysis looking for interactions

"it depends" 

200

Name the TYPE of Chi-Square Test that compares observed cases (N) to expected cases (N)

One Variable Chi-Square Test

200

When reading and interpreting the results of a MANOVA in SPSS, which test values are the best to use? 

Report all that apply. 

  • Pillai’s Trace
  • Roy’s Largest Root
  • Hotelling’s Trace
  • Wilks’ Lambda
  • Pillai’s Trace
  • Wilks’ Lambda
200

Which of the following is NOT an assumption of a MANOVA? 

     A.) The independent variable is a scale variable

     B.) The variables are normally distributed

     C.) The observations are independently collected

     D.) There is similarity in how much variance each            variable has

A.) The independent variable is a scale variable

200

What does the italized portion of the hierarchical regression equation below represent: 

       Y^ = a (constant) + bX1 +bX2 + bX1X2 + e

Regression coefficient for the interaction term

300

The (1)_________________ statistic tells you whether it is a significant difference, while the (2)__________________ table allows you to see the proportions for each level of X at various levels of Y.  

(1) Pearson Chi-Square

(2) Crosstabs

300

Task Performance on an agility test

Condition A: People who are fatigued from a previous intense exercise

Condition B: People who had an easy exercise

Condition C: People who have rested

Agility is measured using Time (speed) and accuracy (not making mistakes) on an agility ladder.


What are the independent variables and its levels?

What are the Dependent variables?

IVs: Condition (Levels - A, B, & C)

DVs: Agility and Accuracy 

300

Please provide a generic alternate (research) hypothesis for a Multi-factor ANOVA test using X1 and X2 as the independent variable & Y as the dependent variable.


(Hint: I'm looking for three statements...)

H1: There will be a main effect for X1 on Y

H2: There will be a main effect for X2 on Y

H3: There will be an interaction effect for X1X2 on Y.

300

What are you looking to see when you use a hierarchical regression (moderation) analysis? 

Looking to see if the relationship between one variable (X1) and the outcome (Y) changes based on the level of another variable (X2).

400

Please use your group's white board to write out one (1) sentence for some generic results write-up using the following values: 

Your two variables are X and Y.

X2 = 12.47

df = 3

N = 1003

p= 0.03

HINT: "The results showed..."

The results showed the proportion of X was significantly different based on Y, χ2 (3, N = 1003) = 12.47, p=.03.

400

Tula is studying adolescent friendships. While designing her study and determining her variables of interest, she decided the best way to study friendship as an outcome was to use multiple variables like emotional support, time spent together, interest in similar activities among pairs of adolescents who claim to be "friends". Tula believes that these three variables are equally important to study as outcomes for adolescent friendship. Given Kary’s research objectives, explain why a MANOVA might be Tula's statistical analysis of choice. 

Tula is interested in studying/analyzing multiple dependent variables to study friendship; MANOVA is the only test that will allow a researcher to study multiple dependent variables in this way. 

400

Joseph is a health consultant who wants to investigate how different types of diets (e.g., vegan vs. vegetarian) and different generic dispositions (e.g., diabetes-prone vs. cardiovascular disease-prone) influence energy levels over a 12-week period. Study Design:

Independent Variables (Factors):

  • Diet Type (2 levels: Vegan, Vegetarian)
  • Genetic Disposition (2 levels: Diabetes-prone, cardiovascular disease-prone)
  • Dependent Variable:
  • Energy Level

Which statistical test should Joseph use to test his research objective? Be as specific as possible.

2 x 2 Multi-factor (Factorial) ANOVA

400

After dummy coding your moderator variable (X2), what are your next two steps in order to complete a hierarchical regression in SPSS?

- Create interaction terms for your main predictor variable and moderator variable

- Add variables according to "Blocks" in SPSS

500

Name five (5) variables that would be appropriate in conducting a Chi-Square test. 

Any categorical variable, such as: Gender, Ethnicity, SES, Marital Status, Education level, Left-handed vs. right-handed, Neurotypical vs. ADHD...

500
You are contracted to design a research study on Gender Bias in the workplace. 


Please describe two (2) independent variables (including their levels) and two (2) dependent variables (including their level of measurement) that you would use to conduct a 2 x 3 MANOVA in this topic. 

IVs: 

- something involving gender demographic variable and/or workplace environment

***Must list two, First IV must have 2 levels and second IV must have 3 levels 

DVs: 

- something involving discrimination/ bias/ oppression

***Must list two, scale variables 

500

Please describe the IVs and levels of a 2 x 3 Factorial ANOVA. 

Please describe the IVs and levels of a 2 x 2 x 4 Factorial ANOVA.

- A 2 x 3 Factorial ANOVA has two independent variables, the first IV has 2 levels and the second IV has three levels. 

- A 2 x 2 x 4 Factorial ANOVA has three independent variables, the first IV has 2 levels, the second IV has 2 levels, and the third IV has 4 levels. 

500

Read the following APA-style results statement. Please interpret this finding in lay terms. 

The results showed that the interaction term for household income and parental support (b= 0.039, t= 1.25 p= 0.001) was significant in predicting How Far one thinks they will go in school as the outcome.

Results show that individuals who come from households with high income and good support from their parents are more likely to think that they will go far in school. 

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