Table 1.

Adjustments to Sections Other than the Results Section of the JARS Questionnaire for All Studies Reporting Results of Structural Equation Modeling

TITLE	The multivariate data to which SEM analyses often are applied and the complexity of relations SEM can be used to test makes it unlikely that, in most cases, the variables under investigation and the relations between them could be fully identified in the title. Instead, we recommend identifying the mechanism or process reflected in the primary model to which the data are fit.
AUTHOR NOTE	Same as in general questionnaire
SCIENTIFIC ABSTRACT	Same as in general questionnaire except replace effect sizes, confidence intervals, and/or significance levels under the findings, including: bullet with
	two or more omnibus fit indices from different classes? yes__ no__, explain whether the interpreted model is the originally specified model? yes__ no__, explain
INTRODUCTION	Same as in general questionnaire but replace material under the describe the specific hypothesis or objectives bullet with
	describe the primary model to be fit to data Theories or other means to derive the model and important paths in it? In manuscript__ supplemental files__ not relevant__ primary paths? In manuscript__ supplemental files__ not relevant__ secondary paths? In manuscript__ supplemental files__ not relevant__ planned re-specification if initially specified model does not fit? In manuscript__ supplemental files__ not relevant__ explain
METHOD	Same as in general questionnaire except as follows:
	In the Sampling procedures section, begin with Were the data collected from research participants or generated by simulation? research participants__ simulation__ If the data were collected from research participants, follow the general questionnaire but add to the Measures and covariates section: Were indicators of latent variables drawn from one or more multi-item questionnaires? yes__ no__ there are no latent variables in the model__ If yes, then for each questionnaire Were indicators items or parcels? If parcels, how were they constructed? If items, were they treated as categorical or continuous? Replace the How was sample size determined bullet in the Sample size, power, and precision section with the following: On what basis was the target sample size determined? rule of thumb__, explain availability or resource constraints__, explain power analysis__ precision of parameter estimate(s) or indices of fit__, explain If determination was based on power analysis, on what hypothesis test did the analysis focus? Explain and justify. omnibus model fit__ significance of key parameters__ what minimum value of power was used? If the data were generated by simulation, skip the Sample size, power, and precision; and Measures and covariates sections. Replace the Sampling procedures bullets with the following: What software/algorithm was used for simulation? State and justify the number and size(s) of samples generated. Were any samples lost due to nonconvergence or inadmissible estimates? yes__, explain no__
DISCUSSION	Same as in general questionnaire, except add to the list under the Are results interpreted taking into account bullet:
	number of and basis for model modifications? In manuscript__ supplemental files__ not relevant__ equivalent/alternative models? In manuscript__ supplemental files__ not relevant__ explain