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Tenko Raykov George A. Marcoulides Siegfried Gabler 《Structural equation modeling》2017,24(5):755-767
In repeated measure studies with unidimensional scales, measurement invariance, and specificity stability over time, the specificity variance in each instrument component can be identified. This article describes for that setting an improved point and interval estimation procedure for the maximal reliability coefficient associated with a given set of homogeneous measures. The method is developed within the framework of latent variable modeling and can also be readily used in longitudinal studies for improved point and interval estimation of individual measure reliability and scale reliability at each assessment occasion. The procedure is based on empirically testable conditions and is illustrated with an example. 相似文献
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Tenko Raykov 《Structural equation modeling》2013,20(3):248-265
This article is concerned with modeling the individual latent growth curves of older adults on measures of fluid intelligence in a 2‐group cognitive intervention study (Baltes, Dittmann‐Kohli, & Kliegl, 1986). Second‐order polynomial growth curves reflecting initial test performance improvement followed by relative stability/drop are fitted to the recorded scores of each participant. Experimental subjects are found to exhibit mean ability growth outperforming that shown by untrained subjects. Both the control and experimental groups, however, demonstrate the same pattern of interrelationships among the individual ability intercepts, linear slopes, and quadratic bend parameters of the growth curves. The results suggest substantial amount of plasticity in fluid intelligence of older adults, and that elders may be capable of considerably improving their performance on repeatedly presented fluid measures by capitalizing on interrelationships between fluid intelligence subabilities. 相似文献
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Tenko Raykov 《Structural equation modeling》2013,20(3):212-236
This article utilizes structural equation modeling for purposes of simultaneous study of individual and group latent change patterns on several longitudinally assessed variables. The approach is based on a special case of the comprehensive latent curve analysis by Meredith and Tisak (1990). Substantively interesting aspects of individual and group growth curves, as well as the interrelations among their patterns, are parameterized at the latent ability level. The method is illustrated on data from a two‐group study by Baltes, Dittmann‐Kohli, and Kliegl (1986). 相似文献
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A latent variable modeling method is outlined, which accomplishes estimation of criterion validity and reliability for a multicomponent measuring instrument with hierarchical structure. The approach provides point and interval estimates for the scale criterion validity and reliability coefficients, and can also be used for testing composite or simple hypotheses about these coefficients. The proposed method is illustrated with a numerical example. 相似文献
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Tenko Raykov Brooke C. Schneider George A. Marcoulides Peter A. Lichtenberg 《Structural equation modeling》2013,20(2):318-324
A 2-stage procedure for estimation and testing of observed measure correlations in the presence of missing data is discussed. The approach uses maximum likelihood for estimation and the false discovery rate concept for correlation testing. The method can be used in initial exploration-oriented empirical studies with missing data, where it is of interest to estimate manifest variable interrelationship indexes and test hypotheses about their population values. The procedure is applicable also with violations of the underlying missing at random assumption, via inclusion of auxiliary variables. The outlined approach is illustrated with data from an aging research study. 相似文献
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This article is concerned with issues in structural equation model selection that pertain to the general utility of the well‐known principle of parsimony. An example is provided using data generated by a relatively nonparsimonious simplex model and fitted rather well by a parsimonious growth curve model that belongs to a different class of models. Implications for empirical research are subsequently discussed, with emphasis on the extent to which one may be willing to routinely use parsimony as the only principle to follow in structural model selection. 相似文献
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This article presents a didactic discussion of a multilevel covariance structure modeling approach to estimation of lowest level mediation effect indexes in two-level studies. The procedure is useful when addressing questions about relations among total and indirect effects between variables of interest while accounting for the hierarchical structure of analyzed data. The discussed method also permits interval estimation and hypothesis tests with respect to related quantities of relevance when evaluating mediated effects with clustered data, and is illustrated on a two-level data set. 相似文献
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Tenko Raykov 《Structural equation modeling》2013,20(4):283-319
This article is concerned with an application of growth curve analysis to modeling test performance changes demonstrated by older adults following cognitive training or based on experience with repeatedly presented fluid intelligence measures. Group differences and invariance in change over time in ability means and indices of interindividual differences at the ability level in a 2‐group cognitive intervention study (Baltes, Dittmann‐Kohli, & Kliegl, 1986) are examined using 3 latent curve analysis (Meredith & Tisak, 1990) models. The results indicate (a) group equivalence in the pattern of temporal development of ability variances and (b) training effects in the experimental group that are stronger than the practice/experience effects in the control group, whereby both types of effects are maintained over the 6‐month testing period. The findings provide further suggestive evidence for plasticity in fluid intelligence of elderly adults (cf. Baltes et al., 1986; Raykov, 1995, 1996). 相似文献
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A structural equation modeling method for examining time-invariance of variable specificity in longitudinal studies with multiple measures is outlined, which is developed within a confirmatory factor-analytic framework. The approach represents a likelihood ratio test for the hypothesis of stability in the specificity part of the residual term associated with repeated administration of each measure. The procedure can be used in the search for parsimonious versions of multiwave multiple-indicator models, to test for variable specificity in them, and to examine assumptions underlying particular parameter estimation procedures in repeated measure designs. The outlined method is illustrated with empirical data. 相似文献