Reporting structural equation modeling results in Psychology and Aging: Some proposed guidelines.

Raykov, Tenko; Tomer, Adrian; Nesselroade, John R.

doi:10.1037/0882-7974.6.4.499

Cited by 294 publications

(196 citation statements)

References 46 publications

(86 reference statements)

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“…A value of standardized residuals Ͼ0.1 suggested that the corresponding correlation was not well explained. The reporting of the SEM analysis conformed with current standards (37,38,44,45 …”

Section: Methodsmentioning

confidence: 99%

Genomic abnormalities of the murine model of Fabry disease after disease-related perturbation, a systems biology approach

Moore¹,

Gelderman

Ferreira

et al. 2007

Proc. Natl. Acad. Sci. U.S.A.

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Fabry disease is a disorder of ␣-D-galactosyl-containing glycolipids resulting from a deficiency of ␣-galactosidase A. Patients have a poorly understood vascular dysregulation. We hypothesized that disease-related perturbation by using enzyme replacement therapy in the murine model of Fabry disease would provide insight into abnormal biological processes in Fabry disease. Gene expression analyses of the heart, aorta, and liver of male ␣-galactosidase A knockout mice 28 weeks of age were compared with that of WT mice. Microarray analyses were performed before and after six weekly injections of ␣-galactosidase A. Alteration of Rpgrip1 ranked highest statistically in all three organs when knockout mice were compared with WT, and its splice variants responded in a unique way to ␣-galactosidase A. Enzyme replacement therapy tended to not only normalize gene expression, e.g., reduce the overexpression of securin, but also specifically modified gene expression in each tissue examined. Following multiple comparison analysis, gene expression correlation graphs were constructed, and a priori hypotheses were examined by using structural equation modeling. This systems biology approach demonstrated multiple and complex parallel cellular abnormalities in Fabry disease. These abnormalities form the basis for informed, in a Bayesian sense, sequential, hypothesis-driven research that can be subsequently tested experimentally.glycolipids ͉ growth factor ͉ lysosomal ͉ reactive oxygen species

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Section: Methodsmentioning

confidence: 99%

Genomic abnormalities of the murine model of Fabry disease after disease-related perturbation, a systems biology approach

Moore¹,

Gelderman

Ferreira

et al. 2007

Proc. Natl. Acad. Sci. U.S.A.

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“…The near-disappearance of this from journals is regrettable.) Sound guidelines for the reporting of SEM results have been offered previously by Steiger (1988), Breckler (1990), Raykov, Tomer, and Nesselroade (1991), Hoyle and Panter (1995), and Boomsma (2000). MacCallum and Austin (2000) provided an excellent general survey of problems in applications of SEM.…”

mentioning

confidence: 99%

Principles and practice in reporting structural equation analyses.

McDonald

2002

Psychological Methods

3,643

2,447

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Principles for reporting analyses using structural equation modeling are reviewed, with the goal of supplying readers with complete and accurate information. It is recommended that every report give a detailed justification of the model used, along with plausible alternatives and an account of identifiability. Nonnormality and missing data problems should also be addressed. A complete set of parameters and their standard errors is desirable, and it will often be convenient to supply the correlation matrix and discrepancies, as well as goodness-of-fit indices, so that readers can exercise independent critical judgment. A survey of fairly representative studies compares recent practice with the principles of reporting recommended here.Structural equation modeling (SEM), also known as path analysis with latent variables, is now a regularly used method for representing dependency (arguably "causal") relations in multivariate data in the behavioral and social sciences. Following the seminal work of Jöreskog (1973), a number of models for linear structural relations have been developed (Bentler & Weeks, 1980;Lohmoller, 1981;McDonald, 1978), and work continues on these. Commercial statistical packages include LISREL (Jöreskog & Sör-bom, 1989, 1996, EQS (Bentler, 1985(Bentler, , 1995, CALIS (Hartmann, 1992), MPLUS (Muthén & Muthén, 1998), RAMONA (Browne, Mels, & Cowan, 1994), SEPATH (Steiger, 1995), and AMOS (Arbuckle, 1997). Available freeware includes COSAN (Fraser & McDonald, 1988) and Mx (Neale, 1997). McArdle and McDonald (1984) proved that different matrix formulations of a path model with latent variables are essentially equivalent. Programs such as those listed supply essentially the same basic information, with minor variations in the details supplied. Thus, the eight parameter LISREL model, which arose out of the work of Keesling and Wiley (see Wiley, 1973) and was subsequently developed to its current state by Jöreskog (see Jöreskog and Sör-bom, 1996), the four-matrix model of Lohmoller (1981), the three-matrix EQS model of Bentler and Weeks (1980), and the two-matrix RAM model (see McArdle & McDonald, 1984) rearrange the same set of parameters. Not surprisingly-and perhaps not regrettably-user guides and texts on this topic are not in agreement in their recommendations about the style of presentation of results (e.g., see Bollen, 1989;Loehlin, 1992;Long, 1983aLong, , 1983b. There is even less agreement in the form of the results actually reported in articles on applications.It would be immodest for any journal article to offer a code of practice for the presentation of SEM results. It could also be counterproductive. (We note that for a long time there was a uniformly accepted convention for the publication of analysis of variance, or ANOVA results: the standard ANOVA table and the table of cell means. The near-disappearance of this from journals is regrettable.) Sound guidelines for the reporting of SEM results have been offered previously

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“…We followed the advice of Raykov et al 54 for the analysis of more complex models. Therefore, we performed analysis at the sub-model levels -fi rst an analysis of the ' Consumer ' s Consciousness ' The data were explored for outliers and none were identifi ed.…”

Section: Measurementmentioning

confidence: 99%

Consumer preferences of store brands: Role of prior experiences and value consciousness

Kara

Rojas‐Méndez²,

Kucukemiroglu³

et al. 2009

J Target Meas Anal Mark

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Reporting structural equation modeling results in Psychology and Aging: Some proposed guidelines.

Cited by 294 publications

References 46 publications

Genomic abnormalities of the murine model of Fabry disease after disease-related perturbation, a systems biology approach

Genomic abnormalities of the murine model of Fabry disease after disease-related perturbation, a systems biology approach

Principles and practice in reporting structural equation analyses.

Consumer preferences of store brands: Role of prior experiences and value consciousness

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