Simulation Study on Fit Indexes in CFA Based on Data With Slightly Distorted Simple Structure

Beauducel, André; Wittmann, Werner W.

doi:10.1207/s15328007sem1201_3

Cited by 522 publications

(343 citation statements)

References 24 publications

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“…0.95 and SRMSR $ 0.08 results in better balance of rejection rates for misspecified models under different conditions. In contrast, Marsh, Kit-Tai, and Wen (2004), Beauducel and Wittmann (2005), Fan and Sivo (2005) illustrated that deciding on the most appropriate index and cutoff is a complex function of the nature of model misspecifications, sample sizes, balances between Type I and Type II tradeoffs, and a host of other factors. All authors also emphasized that the acceptability of models rests heavily on the extent to which hypothesized parameters are significant and in the anticipated directions, as well as issues such as parsimony.…”

Section: Analytic Overviewmentioning

confidence: 99%

Clarifying conditions and decision points for mediational type inferences in Organizational Behavior

2006

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SummaryAlthough mediational designs and analyses are quite popular in Organizational Behavior research, there is much confusion surrounding the basis of causal inferences. We review theoretical, research design, and construct validity issues that are important for drawing inferences from mediational analyses. We then distinguish between indirect effects, and partial and full mediational hypotheses and outline decision points for drawing inferences of each type. An empirical illustration is provided using structural equation modeling (SEM) techniques, and we discuss extensions and directions for future research.

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Section: Analytic Overviewmentioning

confidence: 99%

Clarifying conditions and decision points for mediational type inferences in Organizational Behavior

2006

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“…The standardized root-mean-square residual (SRMR) is the most widely used index of the former kind, whereas the root-mean-square error of approximation (RMSEA) and so-called incremental fit indices (Tucker-Lewis index, normed fit index, comparative fit index, goodness-of-fit index) are sensitive to the second type of misspecification (Fan & Sivo, 2005;Hu & Bentler, 1999). For models with small deviations from simple structure (such as the current one), the recommendation is to rely on decision rules based on a combination of SRMR and RMSEA because, in contrast to the incremental fit indices, RMSEA does not penalize for model complexity (e.g., Beauducel & Wittmann, 2005 (Hu & Bentler, 1999). Finally, the Akaike information criterion is a fit index that indicates the likelihood of a model replicating on a different sample, with lower scores indicating better fit.…”

Section: Resultsmentioning

confidence: 99%

Emotions evoked by the sound of music: Characterization, classification, and measurement.

Zentner

Grandjean

Scherer

2008

Emotion

985

1,013

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One reason for the universal appeal of music lies in the emotional rewards that music offers to its listeners. But what makes these rewards so special? The authors addressed this question by progressively characterizing music-induced emotions in 4 interrelated studies. Studies 1 and 2 (n ϭ 354) were conducted to compile a list of music-relevant emotion terms and to study the frequency of both felt and perceived emotions across 5 groups of listeners with distinct music preferences. Emotional responses varied greatly according to musical genre and type of response (felt vs. perceived). Study 3 (n ϭ 801)-a field study carried out during a music festival-examined the structure of music-induced emotions via confirmatory factor analysis of emotion ratings, resulting in a 9-factorial model of music-induced emotions. Study 4 (n ϭ 238) replicated this model and found that it accounted for music-elicited emotions better than the basic emotion and dimensional emotion models. A domain-specific device to measure musically induced emotions is introduced-the Geneva Emotional Music Scale.

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“…The indices were selected according to Beauducel and Wittmann (2005) and evaluated based on the recommendations of Hu and Bentler (1999).…”

Section: Discussionmentioning

confidence: 99%

Peer problems mediate the relationship between developmental coordination disorder and behavioral problems in school-aged children

Wagner

Bös

Jaščenoka

et al. 2012

Research in Developmental Disabilities

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Simulation Study on Fit Indexes in CFA Based on Data With Slightly Distorted Simple Structure

Cited by 522 publications

References 24 publications

Clarifying conditions and decision points for mediational type inferences in Organizational Behavior

Clarifying conditions and decision points for mediational type inferences in Organizational Behavior

Emotions evoked by the sound of music: Characterization, classification, and measurement.

Peer problems mediate the relationship between developmental coordination disorder and behavioral problems in school-aged children

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