Assumptions To Evaluate For Statistical Tests

12 Questions | By Joci23 | Last updated: Jan 15, 2013 | Total Attempts: 44

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Assumptions To Evaluate For Statistical Tests

Advanced parametric statistical tests and their necessary assumptions. (Should all be correct but I am not a statistician)

Questions and Answers

1.

Matched/Paired Samples T-test:
- A.
  
  Normality
- B.
  
  Sphericity
- C.
  
  Homogeneity of Variance
- D.
  
  Independence of Observations Within Groups
- E.
  
  Independence Observations Between Groups
2.

Mixed ANOVA:
- A.
  
  Homogeneity of Variance
- B.
  
  Normality
- C.
  
  Homoscedasticity
- D.
  
  Independence of Observations Between and Within
- E.
  
  Sphericity
3.

Chi Square Test of Association:
- A.
  
  Inclusion of Nonoccurances
- B.
  
  Sphericity
- C.
  
  Homoscedasticity
- D.
  
  Normality
- E.
  
  Independence of Observations Between and Within
4.

Independent Samples T-Test:
- A.
  
  Multicollinearity
- B.
  
  Independence of Observations Between
- C.
  
  Homogeneity of Variance
- D.
  
  Independence of Observations Within
- E.
  
  Normality
5.

Factorial ANOVA:
- A.
  
  Independence of Observations Between and Within
- B.
  
  Sphericity
- C.
  
  Homogeneity of Variance
- D.
  
  Normality
- E.
  
  Linearity
6.

One-way Repeated Measures ANOVA:
- A.
  
  Sphericity
- B.
  
  Independence of Observations Between
- C.
  
  Normality
- D.
  
  Independence of Observations Within
- E.
  
  Homogeneity of Variance
7.

One-way Between Groups ANOVA:
- A.
  
  Normality
- B.
  
  Homoscedasticity
- C.
  
  Sphericity
- D.
  
  Homogeneity of Variance
- E.
  
  Independence of Observations Between and Within
8.

Bivariate Correlation:
- A.
  
  Linearity
- B.
  
  Homoscedasticity
- C.
  
  Sphericity
- D.
  
  Normality
- E.
  
  Independence of Observations Within
9.

Multiple/Hierarchical Regression:
- A.
  
  Homoscedasticity
- B.
  
  Linearity
- C.
  
  Normality in Arrays
- D.
  
  Independence of Observations
- E.
  
  Multicollinearity
10.

MANOVA:
- A.
  
  Normality
- B.
  
  Homogeneity of Variance
- C.
  
  Linearity
- D.
  
  Independence of Observations
- E.
  
  Homoscedasticity
11.

Bivariate Regression
- A.
  
  Independence of Observations
- B.
  
  Linearity
- C.
  
  Normality in Arrays
- D.
  
  Homogeneity of Variance
- E.
  
  Homoscedasticity
12.

One Sample T-test
- A.
  
  Independence of Observations Within
- B.
  
  Linearity
- C.
  
  Normality
- D.
  
  Independence of Observations Between
- E.
  
  Homogeneity of Variance

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