Jiving the Four-Step, Waltzing Around Factor Analysis, and Other Serious Fun

By L. Hayduk, D. Glaser. 2000

186 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/a09dd425cb90f253d2ccfc5023528e26adfa9e14

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In Management Science and Operations Research

Citations in the corpus

How Software Project Risk Affects Project Performance: An Investigation of the Dimensions of Risk and an Exploratory Model (2004, methodology): “…from researchers in the area have ranged from a single process combining the analysis of the measurement and structural model (Hayduk, 1987; Hayduk & Glaser, 2000) to a two-step process that separates the measurement model and the structural model (Anderson & Gerbing, 1988; Herting &…”
Measurement of Transformational Leadership and its Relationship with Team Cohesion and Performance Level (2009, background): “It has recently been argued (Hayduk & Glaser, 2000) that the only criterion to adequately test model fit is the chi-square test statistic, and that incremental fit indices should not be used at all (Barrett, 2007).”
Principles and practice in reporting structural equation analyses. (2002, methodology): “(See also Fornell & Yi, 1992, and the reply by J. C. Anderson & Gerbing, 1992, as well as Bentler, 2000; Bollen, 2000; Hayduk & Glaser, 2000a, 2000b; Herting & Costner, 2000; Mulaik & Millsap, 2000, for further discussion of this question.)”
Leader Self and Means Efficacy: A multi-component approach (2012, background): “Note, however, that some researchers (e.g., Barrett, 2007; Hayduk & Glaser, 2000; Marsh, Hau, & Wen, 2004; Steiger, Table 3 Means, standard deviations, and correlations.”
Sensitivity of SEM Fit Indexes With Respect to Violations of Uncorrelated Errors (2012, background): “Nevertheless, given that (a) other parameter estimates can be seriously biased if even a small model violation can be observed, and (b) small values in the residual covariance matrix do not necessarily imply that the model misspecification is small ( Hayduk et al, 2007 ; Hayduk & Glaser, 2000 ; Sa”
Modeling Epistemic and Ontological Cognition: Philosophical Perspectives and Methodological Directions (2008, background): “Although the optimal criteria for data-model fit can be debated (eg, Hayduk & Glaser, 2000 ; Hu & Bentler, 1999 ), most CFA investigations of quantitative measures of personal epistemology have failed to meet even lenient standards for data-model fit (eg, Schommer et al, 1992 ; Schommer-Aikins e”
The Sources of Four Commonly Reported Cutoff Criteria (2006, background): “In fact, the jury is still out on the much broader question of how to best assess model fit (e.g., Anderson & Gerbing, 1988; Fraas & Newman, 1994; Hayduk & Glaser, 2000; Mulaik et al., 1989; Mulaik & Milsap, 2000; Williams & Holahan, 1994), as assessment of model fit still represents a large and…”
Reporting Analyses of Covariance Structures (2000, unknown): “Hayduk and Glaser (2000) presented a leading article on a much-debated four-step procedure, followed by reflections of Mulaik and Millsap (2000) and other contributors, which make up Volume 7, Number 1, ofStructural Equation Modeling.”
High-performance work systems and occupational safety. (2005, background): “…(RMSEA) of .10 may not be considered a good fit by some (e.g., MacCallum, Browne, & Sugawara, 1996), current research (e.g., Curran, Bollen, Paxton, Kirby, & Chen, 2002; Hayduk & Glaser, 2000; Nevitt & Hancock, 2000) has raised concerns over RMSEA criterion and sample size sensitivity.”
Assessing Internet Addiction Using the Parsimonious Internet Addiction Components Model—A Preliminary Study (2013, background): “A number of researchers have indicated that numerical cut-off points for model fit indices are arbitrary and should be viewed more flexibly in light of the respective models and data (Hayduk and Glaser 2000; Steiger 2000).”