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A) Higher factor load?ings indicate items with stronger associations with the factor.
B) Items with nega?tive factor loadings are usually ones that are worded in the opposite direction of items with positive loadings.
C) It is possible for an item to load on more than one factor.
D) All of the above are true.
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Multiple Choice
A) The root mean square error of approximation (RMSEA) is the one best statistic for assessing goodness of fit.
B) There are a number of ways of assessing goodness of fit, each of which has its strengths and limitations.
C) Although goodness of fit is an important theoretical concept, there is no way to assess it in practice.
D) In evaluating the validity of measures, goodness of fit is relevant to questions of structural validity but not to questions of generalizability.
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A) Parallel analysis
B) The number of factors with eigenvalues greater than one
C) Interpretation of the scree plot of eigenvalues
D) Conducting multiple analyses using different methods and averaging the results
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A) how well a hypothesized factor structure matches the actual factor structure of the data set.
B) the number of factors with eigenvalues greater than one.
C) how well any one measured variable represents a given latent variable.
D) the reliability of a latent variable.
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A) factor loading.
B) factor score.
C) eigenvalue.
D) extracted score.
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A) hypotheses about the relationships among a set of variables.
B) the structural validity of a measure.
C) the generalizability of a measure.
D) any of the above.
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A) way of testing mediational hypotheses using observed variables.
B) way of testing mediational hypotheses using latent variables.
C) form of exploratory factor analysis using latent variables.
D) technique for determining the causal relationships among a set of latent variables.
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A) summarize the pattern of correlations among a set of variables.
B) test hypotheses about the relationship among a set of variables.
C) examine the reliability of a new measure.
D) condense a large number of variables into a few variables to simplify data analysis.
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Multiple Choice
A) It allows researchers to draw firm causal conclusions from correlational data by testing the time precedence of a proposed cause relative to its proposed effect.
B) It allows researchers to draw firm causal conclusions from correlational data by controlling the third variable problem.
C) It examines the correlation of a hypothesized cause at Time 1 with its hypothesized effect at Time 2 to investigate the time precedence of a possible causal variable.
D) All of the above are true.
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A) one-way analysis of variance (ANOVA)
B) path analysis
C) quasi-experiment
D) factorial ANOVA
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A) Latent variable analysis
B) Confirmatory factor analysis
C) Prospective research
D) Alternative analysis modeling
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