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A ________ is a plot of the original variables using the factor loadings as coordinates.


A) scree plot
B) territorial map
C) factor loading plot
D) scattergram

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The differences between the observed correlations (as given in the input correlation matrix)and the reproduced correlations (as estimated from the factor matrix)can be examined to determine model fit.

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What are the steps involved in conducting factor analysis (Figure 19.3 in the text)?

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The steps involved in conducting factor ...

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Factor analysis can be used in which of the following circumstances?


A) To identify underlying dimensions, or factors, that explain the correlations among a set of variables.
B) To identify a new, smaller set of uncorrelated variables to replace the original set of correlated variables in subsequent multivariate analysis.
C) To identify a smaller set of salient variables from a larger set for use in subsequent multivariate analysis.
D) All are correct circumstances.

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________ is the last step in factor analysis.


A) Interpret the factors
B) Determine the model fit
C) Rotate the factors
D) Determine the number of factors

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It is possible to compute as many principal components as there are variables; in doing so, parsimony is gained.

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________ is an approach to factor analysis that considers the total variance in the data.


A) Principal components analysis
B) Common factor analysis
C) Omega method
D) Unweighted least squares

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The amount of variance a variable shares with all other variables included in the factor analysis is referred to as ________.


A) communality
B) total variance
C) shared variance
D) percentage of variance

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A ________ is a lower triangle matrix showing the simple correlations, r, between all possible pairs of variables included in the analysis.


A) factor matrix
B) classification matrix
C) correlation matrix
D) total correlation matrix

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List at least four of the procedures used for determining the number of factors.

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∙ A Priori Determination
∙ Determination...

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A principal components analysis was run and the following eigenvalue results were obtained: 2.731, 2.218, .442, .341, .183, and .085. How many factors would you retain using the eigenvalues to determine the number of factors?


A) one
B) two
C) four
D) six

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Communality is ________.


A) the amount of variance a variable shares with all the other variables being considered
B) the percentage of the total variance attributed to each factor
C) the proportion of variance explained by the common factors
D) both A and C are correct

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When selecting variables to serve as surrogate variables, you should look for the variable with the highest loading on a factor.

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Which of the following statements is not true about factor rotation?


A) Through rotation, the factor matrix is transformed into a simpler one that is easier to interpret.
B) Rotation affects the communalities and the percentage of total variance explained.
C) Preferably, each factor should have a nonzero, or significant, loadings or coefficients for only some of the variables.
D) Different methods of rotation may result in the identification of different factors.

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Factors can be estimated so that their factor scores are not correlated and the first factor accounts for the highest variance in the data, the second factor the second highest and so on.

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Selecting surrogate variables works well if one factor loading for a variable is clearly higher than all other factor loadings.

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The various methods of factor analysis are differentiated by the approach used to derive the weights or factor score coefficients.

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Describe principal components analysis and common factor analysis and the differences between the two methods of factor analysis.

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In principal components analysis, the to...

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The variables to be included in the factor analysis should be specified based on past research, theory, and the judgment of the researcher.

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Sometimes, because of prior knowledge, the researcher knows how many factors to expect and thus can specify the number of factors to be extracted beforehand. This is referred to as ________.


A) a priori determination
B) determination based on split-half reliability
C) determination based on significance tests
D) determination based on scree plot

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