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Other (Important) Statistical Procedures MCQ

1. One advantage of using repeated-measures designs rather than standard between-subjects designs is that ______.

The error SS is often smaller in repeated-measures thereby increasing power

Because outcome variables are correlated in repeated measures, the explained SS is higher

Repeated measures usually have lower risk of Type I error

Repeated measures do not have to meet all of the assumptions given for between subjects designs

Answer

Correct Answer: The error SS is often smaller in repeated-measures thereby increasing power

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2. The primary characteristic of general linear models (GLM) is that ______.

At least one pair of variables in the model must have a linear relationship

All pairs of quantitative variables in the model must be linear

Nonparametric statistics are used in the matrix solutions

All analyses must be conducted using standardized scores

Answer

Correct Answer: All pairs of quantitative variables in the model must be linear
Nonparametric statistics are used in the matrix solutions

Note: This question has more than 1 correct answers

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3. Cronbach’s alpha is best described as the ______.

Average of several thousand bootstrapped test–retest reliabilities

Correlation of one half of the items with the other half

Average of all possible split-half reliabilities

Ratio of error variance to true score variance

Answer

Correct Answer: Average of all possible split-half reliabilities

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4. When values one or more of the variables are used to predict the value of another variable, the best method to be used is ______.

ANOVA

EFA

MANOVA

Multiple regression

Answer

Correct Answer: Multiple regression

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5. Which is TRUE when comparing MANOVA with discriminant analysis (DA)?

DA analysis requires the inclusion of the cross-product variance of all X pairs, whereas MANOVA does not.

Both utilize categorical outcome variables.

MANOVA can utilize multiple categorical factors, whereas DA is usually limited to one categorical variable.

DA requires homogeneity of variance/covariance, whereas MANOVA does not.

Answer

Correct Answer: MANOVA can utilize multiple categorical factors, whereas DA is usually limited to one categorical variable.

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6. The null hypothesis for MANOVA can be stated as ______.

The means for each of the Y variables when considered simultaneously are equal across all groups

The mean for at least one of the Y variables is equal across all groups

Covariance of each Y pair is equal across all groups

The cross-product of each Y pair is equal across all groups

Answer

Correct Answer: The means for each of the Y variables when considered simultaneously are equal across all groups

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7. MANOVA is considered to be an extension of ANOVA in that______.

The outcome variable Y can be categorical or quantitative

More than two independent variables are used

Group differences are measured on two or more quantitative outcome variables

Three-way and four-way interactions can be analyzed

Answer

Correct Answer: Three-way and four-way interactions can be analyzed

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8. When conducting principal components analysis (PC), the term, component, is defined as ______.

The total variance shared among the variables

A latent variable that represents an underlying characteristic that is not directly measured

The total amount of shared variance among the variables

Any observed variable that can be directly measured

Answer

Correct Answer: A latent variable that represents an underlying characteristic that is not directly measured

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9. When conducting principal axis factor analysis (PAF), the term, factor, is defined as ______.

The total variance shared among the variables

A latent variable that represents an underlying characteristic that is not directly measured

The total amount of shared variance among the variables

Any observed variable that can be directly measured

Answer

Correct Answer: A latent variable that represents an underlying characteristic that is not directly measured

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10. An umbrella termed often used to describe such techniques as regression, factor analysis, and path analysis is called ______.

EFA

MANOVA

SEM

Multiple regression

Answer

Correct Answer: SEM

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Statistics MCQs | Topic-wise

MCQ on Analysis of Factorial ANOVA	MCQ on Basic Statistics
MCQ on Chi-Square and Nonparametric Tests in Statistics	MCQ on Computing Correlation Coefficients
MCQ on Computing and Understanding Averages in Statistics	MCQ on Creating Graphs in Statistics
MCQ on Factorial ANOVA Statistics	MCQ on Factorial ANOVA in Statistics
MCQ on Factorial Analysis of Variance in Statistics	MCQ on Gentle and Statistical Introduction
MCQ on Inferential Statistics	MCQ on Introduction to Correlation and Regression
MCQ on Introduction to Getting Most Out of Your BIG Data	MCQ on Introduction to Understanding statistical Reliability and Validity
MCQ on Measures of Central Tendency in Statistics	MCQ on Multiple Comparison Tests in Statistics
MCQ on Nonparametric Statistics	MCQ on One-Factor Completely Randomized Design
MCQ on One-Factor Repeated-Measures Design	MCQ on One-Sample Z Test
MCQ on Other (Important) Statistical Procedures	MCQ on Predicting the Future Statistics
MCQ on Significantly Significant in Statistics	MCQ on Standard Statistics Hypothesis Testing
MCQ on Statistical Probability	MCQ on Statistical Tests Between the Means of Different Groups
MCQ on Statistical Tests Between the Means of Related Groups	MCQ on Statistical Topics, Parameters, and Tests in Statistics
MCQ on Statistics or Sadistics	MCQ on T Test for Dependent Groups
MCQ on T Test for Independent Groups	MCQ on Testing Relationships using Correlation Coefficient
MCQ on Testing Your statistical Questions	MCQ on Try Analysis of Variance in Statistics
MCQ on Understanding Statistical Distributions of Numbers	MCQ on Understanding Variability in Statistics
General Statistics MCQs