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Factorial Analysis of Variance statistics MCQ

 Factorial Analysis of Variance statistics MCQ

1. Partition of Variance is the variability of scores (as indexed by their sum of squares) can be partitioned or separated into _________ parts.

Answer

Correct Answer: 2

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2. ______________ is a method of variance partitioning in the SPSS GLM procedure that is essentially equivalent to the method of variance partitioning in sequential or hierarchical multiple regression.

Answer

Correct Answer: Sum of Squares

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3. A method of entry of predictors for multiple regression; in simultaneous regression, all predictors are entered at one step is called _____________ .

Answer

Correct Answer: Simultaneous Regression

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4. A method of regression in which all predictor variables are entered into the equation at one step is known as:

Answer

Correct Answer: Standard Regression

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5. [(n1M1) + (n2M2)]/(n1 + n2) = ?

Answer

Correct Answer: Weighted Mean

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6. An analysis of variance is considered random if the levels included in the study represent an extremely small proportion of all the possible levels for that factor is called __________ .

Answer

Correct Answer: Random Factor

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7. A factor in an analysis of variance is “fixed” if the levels of the factor that are included in the study include all the possible levels for that factor is known as:

Answer

Correct Answer: Fixed Factor

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8. Mixed models refers to analyses of variance that include both within-S and between-S factors.

Answer

Correct Answer: True

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9. MANOVA is known as multivariate analysis of variance.

Answer

Correct Answer: True

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10. This is a multivariate generalization of analysis of variance. Like analysis of variance, it involves comparisons of means across groups is called _________ .

Answer

Correct Answer: Multivariate Analysis of Variance

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11. ANCOVA stands for analysis of covariance.

Answer

Correct Answer: True

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12. An analysis in which group differences on means for one continuous Y outcome variable are assessed is known as:

Answer

Correct Answer: Analysis of Covariance

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13. Interaction Effect is a pattern of cell means in a factorial ANOVA that is different from what would be predicted by summing the grand mean .

Answer

Correct Answer: True

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14. Orthogonal Factorial ANOVA is a factorial design in which the numbers of cases in the cells are equal .

Answer

Correct Answer: True

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15. Each group in an analysis of variance corresponds to a level of the factor is known as _______ .

Answer

Correct Answer: Levels of a Factor

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16. A factorial design is completely crossed when each level of the A factor is paired with each level of the B factor is known as ________ .

Answer

Correct Answer: Completely Crossed

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17. A design in which there is more than one factor or categorical predictor variable is known as _______ .

Answer

Correct Answer: Factorial Design

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