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Shuang Song Mengmeng Su Cuiping Kang Hongyun Liu Yuping Zhang Catherine McBride‐Chang Twila Tardif Hong Li Weilan Liang Zhixiang Zhang Hua Shu 《Developmental science》2015,18(1):119-131
In this 8‐year longitudinal study, we traced the vocabulary growth of Chinese children, explored potential precursors of vocabulary knowledge, and investigated how vocabulary growth predicted future reading skills. Two hundred and sixty‐four (264) native Chinese children from Beijing were measured on a variety of reading and language tasks over 8 years. Between the ages of 4 to 10 years, they were administered tasks of vocabulary and related cognitive skills. At age 11, comprehensive reading skills, including character recognition, reading fluency, and reading comprehension were examined. Individual differences in vocabulary developmental profiles were estimated using the intercept‐slope cluster method. Vocabulary development was then examined in relation to later reading outcomes. Three subgroups of lexical growth were classified, namely high‐high (with a large initial vocabulary size and a fast growth rate), low‐high (with a small initial vocabulary size and a fast growth rate) and low‐low (with a small initial vocabulary size and a slow growth rate) groups. Low‐high and low‐low groups were distinguishable mostly through phonological skills, morphological skills and other reading‐related cognitive skills. Childhood vocabulary development (using intercept and slope) explained subsequent reading skills. Findings suggest that language‐related and reading‐related cognitive skills differ among groups with different developmental trajectories of vocabulary, and the initial size and growth rate of vocabulary may be two predictors for later reading development. 相似文献
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Compared with the average consumer, market mavens possess a unique set of characteristics including a greater depth of knowledge of the marketplace and its products, as well as a strong social network. Based on a field study of an emerging social network of Canadian undergraduate students (N = 71), we examine the level of satisfaction and stress that market mavens experience as a result of their network participation. First, market mavens (versus non‐mavens) are more satisfied with their network if they occupy central network positions. Simultaneously, however, mavens incur more stress if they occupy these central positions. Further, market mavens have a lower rate of network growth and build a more a selective network of like‐minded others over time. This suggests that market mavens seek to interact with other market mavens more so than with non‐mavens about product‐related and market‐related information. Together, we provide new insights into the personal outcomes of market mavens' network positions and their networking behavior. Copyright © 2015 John Wiley & Sons, Ltd. 相似文献
209.
Fitting direct covariance structures by the MSTRUCT modeling language of the CALIS procedure
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Yiu‐Fai Yung Michael W. Browne Wei Zhang 《The British journal of mathematical and statistical psychology》2015,68(1):178-193
This paper demonstrates the usefulness and flexibility of the general structural equation modelling (SEM) approach to fitting direct covariance patterns or structures (as opposed to fitting implied covariance structures from functional relationships among variables). In particular, the MSTRUCT modelling language (or syntax) of the CALIS procedure (SAS/STAT version 9.22 or later: SAS Institute, 2010) is used to illustrate the SEM approach. The MSTRUCT modelling language supports a direct covariance pattern specification of each covariance element. It also supports the input of additional independent and dependent parameters. Model tests, fit statistics, estimates, and their standard errors are then produced under the general SEM framework. By using numerical and computational examples, the following tests of basic covariance patterns are illustrated: sphericity, compound symmetry, and multiple‐group covariance patterns. Specification and testing of two complex correlation structures, the circumplex pattern and the composite direct product models with or without composite errors and scales, are also illustrated by the MSTRUCT syntax. It is concluded that the SEM approach offers a general and flexible modelling of direct covariance and correlation patterns. In conjunction with the use of SAS macros, the MSTRUCT syntax provides an easy‐to‐use interface for specifying and fitting complex covariance and correlation structures, even when the number of variables or parameters becomes large. 相似文献
210.
Polytomous multilevel testlet models for testlet‐based assessments with complex sampling designs
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Hong Jiao Yuan Zhang 《The British journal of mathematical and statistical psychology》2015,68(1):65-83
A pplications of standard item response theory models assume local independence of items and persons. This paper presents polytomous multilevel testlet models for dual dependence due to item and person clustering in testlet‐based assessments with clustered samples. Simulation and survey data were analysed with a multilevel partial credit testlet model. This model was compared with three alternative models – a testlet partial credit model (PCM), multilevel PCM, and PCM – in terms of model parameter estimation. The results indicated that the deviance information criterion was the fit index that always correctly identified the true multilevel testlet model based on the quantified evidence in model selection, while the Akaike and Bayesian information criteria could not identify the true model. In general, the estimation model and the magnitude of item and person clustering impacted the estimation accuracy of ability parameters, while only the estimation model and the magnitude of item clustering affected the item parameter estimation accuracy. Furthermore, ignoring item clustering effects produced higher total errors in item parameter estimates but did not have much impact on the accuracy of ability parameter estimates, while ignoring person clustering effects yielded higher total errors in ability parameter estimates but did not have much effect on the accuracy of item parameter estimates. When both clustering effects were ignored in the PCM, item and ability parameter estimation accuracy was reduced. 相似文献