Generalized multilevel structural equation modeling

A unifying framework for generalized multilevel structural equation modeling is introduced. The models in the framework, called generalized linear latent and mixed models (GLLAMM), combine features of generalized linear mixed models (GLMM) and structural equation models (SEM) and consist of a response model and a structural model for the latent variables. The response model generalizes GLMMs to incorporate factor structures in addition to random intercepts and coefficients. As in GLMMs, the data can have an arbitrary number of levels and can be highly unbalanced with different numbers of lower-level units in the higher-level units and missing data. A wide range of response processes can be modeled including ordered and unordered categorical responses, counts, and responses of mixed types. The structural model is similar to the structural part of a SEM except that it may include latent and observed variables varying at different levels. For example, unit-level latent variables (factors or random coefficients) can be regressed on cluster-level latent variables. Special cases of this framework are explored and data from the British Social Attitudes Survey are used for illustration. Maximum likelihood estimation and empirical Bayes latent score prediction within the GLLAMM framework can be performed using adaptive quadrature in gllamm, a freely available program running in Stata.gllamm can be downloaded from http://www.gllamm.org. The paper was written while Sophia Rabe-Hesketh was employed at and Anders Skrondal was visiting the Department of Biostatistics and Computing, Institute of Psychiatry, King's College London.     

Very young children are insensitive to picture- but not object-orientation

In two experiments on very young children's response to the orientation of pictures and objects, 18-, 24- and 30-month-old children showed no preference for upright pictures over inverted ones. More importantly, we found that children in all three age groups were equally accurate and equally fast at identifying depicted objects regardless of orientation. These studies further established that young children's insensitivity to picture orientation does not extend to objects. These results, in combination with the earlier ones, indicate that only gradually do young children come to share the picture orientation preference of adults and older children and that their adoption of the orientation convention is not based on changes in their ability to process upright and inverted images.     

For better or for worse? a nationwide study of the social psychological effects of gender and ability grouping in mathematics

This exploratory investigation employs the National Education Longitudinal Surveybreak(NELS:88) to examine equity in tracking from a new, less-studied angle, with the view that tracking may not be all good or all bad, but that its effects are variable. The present study considers how these variable effects might, in part, be produced through a mechanism of social comparison conceptualized by Marsh et al. as the big-fish-little-pond effect (BFLPE). It compares similar students, except that some are in schools that use tracking and some are in schools that do not use tracking. Unlike previous studies of between-track effects, it asks whether tracking works uniformly for males and females within the same track placement in a particular subject area. Analyses yielded significant differences in students' attitudes toward mathematics, educational aspirations, self-esteem, locus of control, and engagement in school. These systematic effects suggest the mechanisms of the BFLPE. Despite the reflected glory of being in a high ability track, when males, in contrast to females, are grouped with peers of similar high ability in a subject area that defines their competence, they seem to lose their competitive edge. Low ability males are positively affected through the mechanism of comparing with their peers because the competition to do well is relatively less keen than in high tracks.     

Trifactor Models for Multiple-Ratings Data

In this study we extend and assess the trifactor model for multiple-ratings data in which two different raters give independent scores for the same responses (e.g., in the GRE essay or to subset of PISA constructed-responses). The trifactor model was extended to incorporate a cross-classified data structure (e.g., items and raters) instead of a strictly hierarchical structure. we present a set of simulations to reflect the incompleteness and imbalance in real-world assessments. The effects of the rate of missingness in the data and of ignoring differences among raters are investigated using two sets of simulations. The use of the trifactor model is also illustrated with empirical data analysis using a well-known international large-scale assessment.     

Psychological and existential vulnerability among clinical young women: a quantitative comparison of depression-related subgroups

The objective was to explore psychological and existential vulnerability among clinical young women in Sweden. Females (n?=?53) with depression as the most common preliminary diagnosis were investigated through an online questionnaire. Included measures were Karolinska Scales of Personality, Self-concept, Strategies to Handle Negative Emotions, Sense of Coherence, and questions pertaining to existential meaning-making, including religious/spiritual belief. The sample was divided into High (n?=?35) and Low/Inter (n?=?18) groups according to scores on the anxiety- and depression-related personality scale Inhibition of aggression. Using independent samples t-test, the High group showed signs of significantly higher psychological and existential vulnerability than the Low/Inter group. Salutogenic factors being (1) coming from socially and societally engaged families and (2) being in a functional existential meaning-making process. The conclusion is that vulnerabilities in the psychological and existential domains are linked, especially in individuals high on depression-like aspects of personality. However, no significant differences for religion/spirituality were found. Treatment implications were addressed.     

Cognitive control and counterproductive oculomotor capture by reward-related stimuli

Two experiments investigated the extent to which value-modulated oculomotor capture is subject to top-down control. In these experiments, participants were never required to look at the reward-related stimuli; indeed, doing so was directly counterproductive because it caused omission of the reward that would otherwise have been obtained. In Experiment 1, participants were explicitly informed of this omission contingency. Nevertheless, they still showed counterproductive oculomotor capture by reward-related stimuli, suggesting that this effect is relatively immune to cognitive control. Experiment 2 more directly tested whether this capture is controllable by comparing the performance of participants who either had or had not been explicitly informed of the omission contingency. There was no evidence that value-modulated oculomotor capture differed between the two conditions, providing further evidence that this effect proceeds independently of cognitive control. Taken together, the results of the present research provide strong evidence for the automaticity and cognitive impenetrability of value-modulated attentional capture.     

The effectiveness of positive psychology interventions in enhancing positive behaviors and family relationships in Hong Kong: A community-based participatory research project

This paper describes a program of brief, universal, positive psychology-based interventions to increase targeted behaviors that enhance family relationships, developed and delivered to over 1500 participants using a community-based participatory approach. The cluster-randomized design combined interventions based on one of three themes (gratitude, hope, or open-mindedness) in one of two structures (intervention, or intervention with planning). The latter structure supplemented with materials and exercises derived from the Health Action Process Approach model of behavior change. Planning was more effective in increasing attitude and intention to perform behaviors, frequency of the targeted behaviors, and family health and happiness (Cohen’s ds: 0.10–0.16, p < 0.05), particularly in the theme targeting open-mindedness. Qualitative data supported effectiveness. This project was a first effort to develop a large-scale preventive psychological intervention in an understudied culture with the goal of maximizing acceptability and utilization by involving community stakeholders in every stage of the design.     

An autoregressive growth model for longitudinal item analysis

A first-order autoregressive growth model is proposed for longitudinal binary item analysis where responses to the same items are conditionally dependent across time given the latent traits. Specifically, the item response probability for a given item at a given time depends on the latent trait as well as the response to the same item at the previous time, or the lagged response. An initial conditions problem arises because there is no lagged response at the initial time period. We handle this problem by adapting solutions proposed for dynamic models in panel data econometrics. Asymptotic and finite sample power for the autoregressive parameters are investigated. The consequences of ignoring local dependence and the initial conditions problem are also examined for data simulated from a first-order autoregressive growth model. The proposed methods are applied to longitudinal data on Korean students’ self-esteem.     

Cognitive bias and attitude distortion of a priority decision

Cognitive Processing - The resource saving bias is a cognitive bias describing how resource savings from improvements of high-productivity units are overestimated compared to improvements of less...