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Preacher, Kristopher J.; Zyphur, Michael J.; Zhang, Zhen – Psychological Methods, 2010
Several methods for testing mediation hypotheses with 2-level nested data have been proposed by researchers using a multilevel modeling (MLM) paradigm. However, these MLM approaches do not accommodate mediation pathways with Level-2 outcomes and may produce conflated estimates of between- and within-level components of indirect effects. Moreover,…
Descriptors: Structural Equation Models, Hypothesis Testing, Statistical Analysis, Predictor Variables
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Maydeu-Olivares, Alberto; Coffman, Donna L.; Hartmann, Wolfgang M. – Psychological Methods, 2007
The point estimate of sample coefficient alpha may provide a misleading impression of the reliability of the test score. Because sample coefficient alpha is consistently biased downward, it is more likely to yield a misleading impression of poor reliability. The magnitude of the bias is greatest precisely when the variability of sample alpha is…
Descriptors: Intervals, Scores, Sample Size, Simulation
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Schafer, Joseph L.; Kang, Joseph – Psychological Methods, 2008
In a well-designed experiment, random assignment of participants to treatments makes causal inference straightforward. However, if participants are not randomized (as in observational study, quasi-experiment, or nonequivalent control-group designs), group comparisons may be biased by confounders that influence both the outcome and the alleged…
Descriptors: Research Methodology, Inferences, Psychological Studies, Simulation
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Smithson, Michael; Verkuilen, Jay – Psychological Methods, 2006
Uncorrectable skew and heteroscedasticity are among the "lemons" of psychological data, yet many important variables naturally exhibit these properties. For scales with a lower and upper bound, a suitable candidate for models is the beta distribution, which is very flexible and models skew quite well. The authors present…
Descriptors: Maximum Likelihood Statistics, Predictor Variables, Mathematical Models, Comparative Analysis