Other (Important) Statistical Procedures MCQs
Other (Important) Statistical Procedures MCQs
The following Other (Important) Statistical Procedures MCQs have been compiled by our experts through research, in order to test your knowledge of the subject of Other (Important) Statistical Procedures. We encourage you to answer these multiple-choice questions to assess your proficiency.
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1: An umbrella termed often used to describe such techniques as regression, factor analysis, and path analysis is called ______.
A. EFA
B. MANOVA
C. SEM
D. Multiple regression
2: When conducting principal axis factor analysis (PAF), the term, factor, is defined as ______.
A. The total variance shared among the variables
B. A latent variable that represents an underlying characteristic that is not directly measured
C. The total amount of shared variance among the variables
D. Any observed variable that can be directly measured
3: When conducting principal components analysis (PC), the term, component, is defined as ______.
A. The total variance shared among the variables
B. A latent variable that represents an underlying characteristic that is not directly measured
C. The total amount of shared variance among the variables
D. Any observed variable that can be directly measured
4: MANOVA is considered to be an extension of ANOVA in that______.
A. The outcome variable Y can be categorical or quantitative
B. More than two independent variables are used
C. Group differences are measured on two or more quantitative outcome variables
D. Three-way and four-way interactions can be analyzed
5: The null hypothesis for MANOVA can be stated as ______.
A. The means for each of the Y variables when considered simultaneously are equal across all groups
B. The mean for at least one of the Y variables is equal across all groups
C. Covariance of each Y pair is equal across all groups
D. The cross-product of each Y pair is equal across all groups
6: Which is TRUE when comparing MANOVA with discriminant analysis (DA)?
A. DA analysis requires the inclusion of the cross-product variance of all X pairs, whereas MANOVA does not.
B. Both utilize categorical outcome variables.
C. MANOVA can utilize multiple categorical factors, whereas DA is usually limited to one categorical variable.
D. DA requires homogeneity of variance/covariance, whereas MANOVA does not.
7: When values one or more of the variables are used to predict the value of another variable, the best method to be used is ______.
A. ANOVA
B. EFA
C. MANOVA
D. Multiple regression
8: Cronbach’s alpha is best described as the ______.
A. Average of several thousand bootstrapped test–retest reliabilities
B. Correlation of one half of the items with the other half
C. Average of all possible split-half reliabilities
D. Ratio of error variance to true score variance
9: The primary characteristic of general linear models (GLM) is that ______.
A. At least one pair of variables in the model must have a linear relationship
B. All pairs of quantitative variables in the model must be linear
C. Nonparametric statistics are used in the matrix solutions
D. All analyses must be conducted using standardized scores
10: One advantage of using repeated-measures designs rather than standard between-subjects designs is that ______.
A. The error SS is often smaller in repeated-measures thereby increasing power
B. Because outcome variables are correlated in repeated measures, the explained SS is higher
C. Repeated measures usually have lower risk of Type I error
D. Repeated measures do not have to meet all of the assumptions given for between subjects designs
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Other (Important) Statistical Procedures MCQs
