Multilevel covariance structure analysis of sibling substance use and intrafamily conflict

Conventional covariance structure analysis, such as factor analysis, is often applied to data that are obtained in a hierarchical fashion, such as siblings observed within families. A more appropriate specification is demonstrated which explicitly models the within-level and between-level covariance matrices of sibling substance use and intrafamily conflict. Participants were 267 target adolescents (mean age=13.11 years) and 318 siblings (mean age=15.03 years). The level of homogeneity within sibling clusters, and heterogeneity among families, was sufficient to conduct a multilevel covariance structure analysis (MCA). Parental and family-level variables consisting of marital status, socioeconomic status, marital discord, parent use, and modeling of substances were used to explain heterogeneity among families. Marital discord predicted intrafamily conflict, and parent marital status and modeling of substances predicted sibling substance use. Advantages and uses of hierarchical designs and conventional covariance structure software for multilevel data are discussed.     

Classical test theory based and factor analytic structural models for analyzing change: A note on differences and similarities

This note is concerned with differences and similarities between structural models for analyzing change, which are conceptualized within two different modelling traditions: the one based on the classical test theory, and that within the factor-analytic approach. It is shown that these two possibilities lead to models for studying change, which are indistinguishable when using for data analytic purposes structural modeling programs, such as LISREL, EQS, COSAN, LISCOMP, RAMONA, EzPATH, SAS PROC CALIS. The reason for this data-analytic equivalence of the two conceptually different types of models is the confounding of their differences in the corresponding implied covariance matrix structures.     

Spanning seven orders of magnitude: a challenge for cognitive modeling

Much of cognitive psychology focuses on effects measured in tens of milliseconds while significant educational outcomes take tens of hours to achieve. The task of bridging this gap is analyzed in terms of Newell's (1990) bands of cognition—the Biological, Cognitive, Rational, and Social Bands. The 10 millisecond effects reside in his Biological Band while the significant learning outcomes reside in his Social Band. The paper assesses three theses: The Decomposition Thesis claims that learning occurring at the Social Band can be reduced to learning occurring at lower bands. The Relevance Thesis claims that instructional outcomes at the Social Band can be improved by paying attention to cognition at the lower bands. The Modeling Thesis claims that cognitive modeling provides a basis for bridging between events on the small scale and desired outcomes on the large scale. The unit‐task level, at the boundary of the Cognitive and Rational Bands, is useful for assessing these theses. There is good evidence for all three theses in efforts that bridge from the unit‐task level to educational applications. While there is evidence for the Decomposition Thesis all the way down to the 10 millisecond level, more work needs to be done to establish the Relevance Thesis and particularly the Modeling Thesis at the lower levels.     

A Latent Growth Curve Modeling Approach to Pooled Interrupted Time Series Analyses

This paper presents a latent variable approach for the estimation of treatment effects within a pooled interrupted time series (ITS) design. Although considered quasi-experimental, the ITS design has been noted as representing one of the strongest alternatives to the randomized experiment, making it highly appropriate for use in documenting the presence of effects that might warrant further evaluation in a large-scale randomized study. Results suggest that the latent variable growth modeling (LGM) is capable of detecting simultaneous differences in both level and slope, and provides tests of significance for these two necessary indicators of an ITS intervention effect. As shown in the analyses, the LGM framework provides a comprehensive and flexible approach to research design and data analysis, making available to a wide audience of researchers an analytical framework for a variety of analyses of growth and developmental processes.     

数学建模的认知差异研究

运用口语报告分析方法和深度访谈方法,对五所高校数学与应用数学(师范)专业15名数学建模竞赛获奖学生(专家被试)与15名未参赛学生(新手被试)数学建模的认知差异进行了研究,发现专家被试与新手被试在数学建模的问题表征、策略运用、思路特点、建模结果及解题效率等方面存在显著差异.     

Cross-National Comparison of Attitudes Toward Fathers' and Mothers' Participation in Household Tasks and Childcare

The purpose of this study was to explore attitudes toward the division of fathers' and mothers' participation in childcare/household tasks through a multilevel modeling approach. Data from the Euro-barometer surveys, including over 10,000 respondents from 13 European countries, were used. Respondents' attitudes were related to several individual-and macro-level factors. At the individual level (based on a separate regression equation for each country), it was found that respondents were most likely to hold egalitarian attitudes toward household work and childcare when they were younger, female, and politically liberal. At the macro level, countries' United Nations ratings on women's empowerment, Gross National Product, and cultural individualism were related to egalitarian attitudes. Study implications, strengths and weaknesses, and suggestions for future research are discussed.     

What really matters

What really matters fundamentally in survival? That question—the one on which I focus—is not about what should matter or about metaphysics. Rather, it is a factual question the answer to which can be determined, if at all, only empirically. I argue that the answer to it is that in the case of many people it is not one’s own persistence, but continuing in ways that may involve one’s own cessation that really matters fundamentally in survival. Call this the surprising result. What are we to make of it? According to several philosophers, not much. I argue that these philosophers are wrong. What best explains the surprising result is that in the case of many people one’s special concern for oneself in the future is not fundamental, but derived. I explain what this means. Finally I explain why the task of explaining empirically what matters fundamentally in survival is in some ways more like a meditative quest than a traditional inquiry in western philosophy or social science and, as such, is best answered not by psychologists, but by philosophers.     

Longitudinal Changes in Intellectual Development in Children with Fragile X Syndrome

Structural equation modeling (SEM) was used to examine the development of intellectual functioning in 145 school-age pairs of siblings. Each pair included one child with Fragile X syndrome (FXS) and one unaffected sibling. All pairs of children were evaluated on the Wechsler Intelligence Scale for Children-Third Edition (WISC-III) at time 1 and 80 pairs of children received a second evaluation at time 2 approximately 4 years later. Compared to their unaffected siblings, children with FXS obtained significantly lower percentage correct scores on all subtests of the WISC at both time points. During the time between the first and second assessments, the annual rate of intellectual development was approximately 2.2 times faster in the unaffected children compared to the children with FXS. Levels of the fragile X mental retardation protein (FMRP) were highly associated with intellectual ability scores of the children with FXS at both time points (r=0.55 and 0.64 respectively). However, when gender, age, and the time between assessments were included as covariates in the structural equation model, FMRP accounted for only 5% of the variance in intellectual ability scores at time 1 and 13% of the variance at time 2. The results of this study suggest that slower learning contributes to the low and declining standardized IQ scores observed in children with FXS.     

A longitudinal panel study on antecedents and outcomes of work-home interference

Theoretical models of the antecedents and outcomes of work-home interference (WHI) suggest that work characteristics (e.g., job stressors, working hours) increase the probability that an individual experiences work-home interference. Since work-home interference is considered as a role stressor, these experiences should be detrimental for long-term well-being. In this 2-wave panel study, the authors compared this suggested pathway with competing models that propose reverse causation and reciprocal effects in a sample of 365 employees (N at T2 = 130) from the German workforce using structural equation modeling. In particular, a model with two proposed antecedents (job stressors, working hours) of WHI and two proposed consequences (depression, turnover motivation) was analyzed in alternative configurations. The results support a cyclical model with a job stressors → depression → WHI → job stressors pathway. Furthermore, working hours affected WHI, and turnover motivation emerged as an outcome of WHI.