Table 2.

JAR Supplemental Module to be Substituted for the Results Section of the JARS Questionnaire for All Studies Reporting Results of Structural Equation Modeling

RESULTS	Please provide the information requested in this supplemental JARS questionnaire, or in the text box provide the page number, table, or supplemental file in which the information can be found.
Data Preparation	If some data are missing, state the percentage of missingness and how it is distributed across cases and variables. is it plausible that the data are at least missing at random? yes__, explain no__ indicate which method was used to address missingness. multiple imputation__ FIML__ substitution of values__ deletion of cases__ other (describe below)__ Were the data evaluated for multivariate normality? yes__ no__, explain ○If data are not multivariate normal, what strategy was used to address nonnormality?
Specification	Which general approach best describes the use of SEM? strictly confirmatory__ alternative models__ model-generating__ Is a path diagram provided for each model fit to the data? yes__ no__, explain Is a full account of the model specification for all models to be evaluated provided, including: latent variables? yes__ no__ fixed and free parameters? yes__ no__ constrained parameters? yes__ no__ Is sufficient information provided that, for all models evaluated, the degrees of freedom can be derived by the reader? yes__ no __ Is model identification addressed? yes, but not established__ yes, and established__ no__, explain Was the method for establishing model identification stated and justified? yes__ no__, explain not established__ If the model includes a measurement component, is a basis for the specification provided? yes__ no__ no measurement component__ If the model includes a means component, is the specification of the mean structure described fully? yes__ no__ no means component__ If the model includes interaction effects, explain how those effects were specified. interaction effects__ no interaction effects__ If the data are nested (e.g., occasion within person, student within classroom), explain how nonindependence is accounted for in the model. nested data__ no nested data__ Are any comparisons of parameters to be made between groups or occasions? If so indicate which parameters are to be compared for which groups or occasions. yes__ no __
Estimation	Was the software (including version) used for estimation noted? yes__ no __ Which estimation method was used? Justify its use. Were any default criteria (e.g., number of iterations, tolerance) adjusted in order to achieve convergence? yes__, explain no__ Is there any evidence of an improper solution (e.g., error variances constrained at zero; standardized factor loadings greater than 1.0)? yes__, explain no__
Evaluation of Fit	How was omnibus fit evaluated (statistics/indexes and criteria)? Were criteria clearly stated and adhered to for all evaluations of fit? yes__ no__, explain If alternative models were compared, what strategy and criterion was used to select one over the other(s)? alternative models__ no alternative models__ If individual parameters were tested, what test and criterion was used? parameters tested__ parameters not tested__, explain If parameters were compared between groups or occasions, indicate how those comparisons were made, including criterion. between groups/occasions comparisons__ no comparisons__
Re-Specification	Was one or more of the interpreted models a product of re-specification? yes__ no__ If yes, then describe the method used to search for misspecified parameters state clearly which fixed parameters were freed or fixed in order to produce the interpreted model(s) provide a theoretical or conceptual justification for parameters that were freed or fixed after specification searching
Presentation of Results	Is the following information provided in the manuscript? covariance matrix, or a correlation matrix with standard deviations yes__ no__, explain means yes__ no__, explain univariate skewness and kurtosis values yes__ no__, explain Are the case-level data archived and information provided so that they could be accessed by interested readers? yes__ no__, explain Does the manuscript clearly indicate whether the model(s) for which results are presented were specified before or after fitting other models or otherwise examining the data? yes__ no__, explain For all models to be interpreted, does the report provide fit statistics/indices, interpreted using criteria justified by citation of most recent evidence-based recommendation? yes__ no__, explain difference tests for comparisons between alternative models? yes__ no__, explain For all estimated parameters, does the report provide estimates, indicating whether they are unstandardized or standardized? yes__ no__, explain standard errors with unstandardized estimates or, with standardized estimates, results of statistical tests? yes__ no__, explain cutoffs for standard levels of significance? yes__ no__, explain Do any models include indirect effects? yes__ no__ If yes, does the report provide parameter estimates? yes__ no__, explain state and justify the chosen strategy for testing the effect? yes__ no__, explain Are there significant interaction effects? yes__ no__ If yes, do follow-up analyses make clear the underlying pattern? yes__ no__, explain