Scale construction and development using structural equation modeling.

By Tenko Raykov. 2012

191 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fe0ab318c549999697a31fefe2103ffc8850e7fb

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Citations in the corpus

Scale Reliability Evaluation Under Multiple Assumption Violations (2016, methodology): “The reliability estimate in Equation 4 can be readily obtained in an empirical study using the popular LVM software Mplus (Muthén & Muthén, 2012; see Raykov, 2012, for source code).”
Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares (2016, methodology): “…researchers have suggested using MLR in ordinal CFA or CFA-based models (e.g., multiple-indicator multiple-cause models, or measurement invariance) when the number of response categories for each item was equal to or greater than five (e.g., Raykov, 2012; Rigdon, 1998, and the references therein).”
Applied Psychometrics: Sample Size and Sample Power Considerations in Factor Analysis (EFA, CFA) and SEM in General (2018, background): “With these new robust estimators, the need for a large sample is less imperative (Raykov, 2012) because under certain conditions can handle as few as 60 participants (see Bentler & Yuan, 1999; Wolf et al., 2013; Chumney, 2013) irrespectively of the normality assumption (Wang & Wang, 2012; Brown,…”
The grounded psychometric development and initial validation of the Health Literacy Questionnaire (HLQ) (2013, background): “Both conditions are likely to apply in the HLQ. Raykov’s procedures provide unbiased estimates of composite reliability that avoid these limitations of Cronbach’s alpha.”
The performance of MLR, USLMV, and WLSMV estimation in structural regression models with ordinal variables (2014, methodology): “It is noted in passing that robust ML has been suggested for use when ordinal observed variables have at least five response categories (e.g., Johnson & Creech, 1983; Rigdon, 1998; Raykov, 2012, and references therein).”
Applied Psychometrics: The Steps of Scale Development and Standardization Process (2018, background): “Over the past decades, such instruments became popular in psychology mainly because they provide multiple related pieces of information on the latent construct been assessed (Raykov, 2012).”
Making Reliability Reliable (2016, background): “…studies such as Cortina (1993) and Schmitt (1996) offered influential lessons on alpha for organizational researchers, it is still commonly misconceived and widely misused (Cho & Kim, 2015; Dunn, Baguley, & Brunsden, 2013; Green & Yang, 2009a; Raykov, 2012; Sijtsma, 2009a; Yang & Green, 2011).”