Modeling Associations Among Multivariate Longitudinal Categorical Variables in Survey Data: A Semiparametric Bayesian Approach

This paper proposes a semiparametric Bayesian framework for the analysis of associations among multivariate longitudinal categorical variables in high-dimensional data settings. This type of data is frequent, especially in the social and behavioral sciences. A semiparametric hierarchical factor analysis model is developed in which the distributions of the factors are modeled nonparametrically through a dynamic hierarchical Dirichlet process prior. A Markov chain Monte Carlo algorithm is developed for fitting the model, and the methodology is exemplified through a study of the dynamics of public attitudes toward science and technology in the United States over the period 1992?C2001.     

Risk as a Moderator of the Effects of Prevention Programs for Children from Divorced Families: A Six-Year Longitudinal Study

Program by risk interactions were assessed to evaluate whether the long-term effects of two preventive interventions for children from divorced families were moderated by baseline levels of risk. Six-year prospective relations between childhood (ages 9-12) and adolescence (ages 15-19) were examined in 68 children who comprised the control group of a randomized trial. Analyses indicated that two childhood variables predicted multiple adolescent outcomes: environmental stressors and externalizing problems. A risk index composed of these 2 variables was highly predictive of internalizing and externalizing problems, competence, substance use, and mental disorder 6 years later. Analyses of the full sample (N = 218) indicated that program effects were greater for children with higher risk scores and that the programs attenuated the relation between risk and adolescent internalizing and externalizing problems, competence, and mental disorder.     

Inhibition and Disinhibition of Male Aggression Against Females: A Personality Moderator Approach

Three experiments examined the role of individual differences in combination with contextual factors hypothesized to moderate the level of hostility toward females evident in male participants' responses. In Study I, we manipulated survey context and examined the influence of participants' levels of rape myth acceptance (RMA) on self-reported rape likelihood. In Study 2, we examined the interactive role of target gender and participants' levels of sex guilt (SG) on aggression toward the target after exposure to an erotic film. Study 3 results suggested that high SG males have particularly negative responses to women (but not men) who enjoy erotic presentations, consistent with a "Jack-the-Ripper" interpretation of the Study 2 findings.     

神经质人格调节青少年应激与抑郁症状的追踪研究

探讨神经质人格对青少年应激与抑郁症状的调节作用。采用自评的流调中心用抑郁量表、大五人格问卷-神经质分量表和青少年生活事件量表对618名在校高中生进行了首次测查,随后每隔3个月对被试的抑郁症状和生活事件进行追踪测查,追踪时间为期一年,结果发现:与低神经质青少年相比,随着生活事件应激水平的升高,高神经质青少年的抑郁躯体症状与心理症状增长速度更快。结论:神经质人格在青少年生活事件应激和抑郁症状的关系中起调节作用。     

Value as a Moderator in Subjective Well-Being

We investigated individual differences in the processes of subjective well-being (SWB). There were considerable individual differences in the domain that was most strongly associated with global life satisfaction. Individuals also differed significantly in the types of activities that they found satisfying. Moreover, these individual differences in the patterns of SWB were systematically related to value orientations. A 23-day daily diary study revealed that intraindividual changes in satisfaction were strongly influenced by the degree of success in the domains that individuals value. The present findings highlight the meaningful individual differences in the qualitative aspects of subjective well-being.     

Voluntariness of Association as a Moderator of the Importance of Procedural and Distributive Justice

Tyler (1986) proposed that procedural justice was a more important factor in the evaluation of institutions when an individual's association with same was forced or compelled than when the association was voluntary. Unfortunately, Tyler's induction of a moderator effect was based upon questionable interpretations of data, and no deductive attempt was made to explain the phenomenon in theoretical terms. The present study confirmed the moderator effect of voluntariness of association by examining the patterns of correlations between institutional evaluations and procedural justice under two conditions—for members and non-members of open shop (voluntary association) and agency shop (compelled association) unions. The concept of personal control was used to account for the moderator     

Modeling Incomplete Longitudinal Substance Use Data Using Latent Variable Growth Curve Methodology

Longitudinal data sets typically suffer from attrition and other forms of missing data. When this common problem occurs, several researchers have demonstrated that correct maximum likelihood estimation with missing data can be obtained under mild assumptions concerning the missing data mechanism. With reasonable substantive theory, a mixture of cross-sectional and longitudinal methods developed within multiple-group structural equation modeling can provide a strong basis for inference about developmental change. Using an approach to the analysis of missing data, the present study investigated developmental trends in adolescent (N = 759) alcohol, marijuana, and cigarette use across a 5-year period using multiple-group latent growth modeling. An associative model revealed that common developmental trends existed for all three substances. Age and gender were included in the model as predictors of initial status and developmental change. Findings discuss the utility of latent variable structural equation modeling techniques and missing data approaches in the study of developmental change.     

大数据社会治理研究的理论进展与政策堕距分析

社会治理主要表现为体制和政策的调整。政策的稳定性和创新性既是明确社会治理方向的条件,也是提高社会治理水平的指导。本文在对国内外大数据社会治理研究经验展开充分分析的基础上,以现实问题为例,运用内容分析和语义关系分析细致呈现了现有政策与公众期望之间的差距,以期在政策堕距的分析中总结大数据社会治理的经验。     

A Hierarchical Modeling Approach to Data Analysis and Study Design in a Multi-site Experimental fMRI Study

We propose a hierarchical Bayesian model for analyzing multi-site experimental fMRI studies. Our method takes the hierarchical structure of the data (subjects are nested within sites, and there are multiple observations per subject) into account and allows for modeling between-site variation. Using posterior predictive model checking and model selection based on the deviance information criterion (DIC), we show that our model provides a good fit to the observed data by sharing information across the sites. We also propose a simple approach for evaluating the efficacy of the multi-site experiment by comparing the results to those that would be expected in hypothetical single-site experiments with the same sample size.     

DataToText: A Consumer-Oriented Approach to Data Analysis

DataToText is a project developed where the user communicates the relevant information for an analysis and DataToText computer routine produces text output that describes in words, tables, and figures the results from the analyses. Two extended examples are given, one an example of a moderator analysis and the other an example of a dyadic data analysis. The advantages and disadvantages of DataToText are discussed in terms of the statement of the problem, the steps in the analysis, and understanding the meaning of the results. Also discussed is the potential role of DataToText in pedagogy. Although there are some clear deficiencies in a DataToText analysis, it is argued that, more often than not, DataToText will lead to better analyses. Finally, a call is made for methodologists to become more consumer oriented by providing researchers with tools to facilitate the use of methodological developments.     

The Association Between Maternal Control and Sense of Coherence in Chinese Adolescents: Self-Efficacy as a Mediator and Stressful Life Events as a Moderator

Journal of Happiness Studies - Both parental support and overprotection have been found to be associated with adolescents’ sense of coherence (SOC) in prior studies. It is unclear, however,...     

Item Characteristic Curve Estimation of Signal Detection Theory-Based Personality Data: A Two-Stage Approach to Item Response Modeling

Signal Detection Theory (SDT; MacMillan & Creelman, 1991) is a method of data collection that has been used for several years, which describes the decision-making strategies of individuals. However, its use has been largely restricted to experiments involving sensation and perception. The Overclaiming Questionnaire (OCQ; Paulhus & Bruce, 1990) is a scale that has been developed to measure intellectual ability and personality, using SDT as a guideline. Although the scale has been successful in measuring human characteristics such as narcissism and intelligence, it is still unclear how to measure the characteristics of the various stimuli used (e.g., item difficulty, item discrimination, etc.). In some ways, this is a direct consequence of the general lack of research involved in item parameter estimation in the field of SDT. Using the OCQ, this article presents a graphical and nonparametric form of item response modeling to address this issue. In many ways, the approach is influenced by and structured around item response theory (IRT; Hambleton, Swaminathan, & Rogers, 1991). The general features of both SDT and IRT are described. Results suggest that this method is indeed a reasonable approach to describing item functioning, and there are several advantages to using this method over traditional IRT methods. Furthermore, SDT appears to be a fruitful approach to assessing intelligence, ability, and other psychological constructs, with advantages over traditional approaches. Overall, the results provide interesting implications for item selection and test development in several scientific and academic fields.     

Social Comparisons and Absenteeism: A Structural Modeling Approach1

In this study a social comparison model is constructed that predicts objectively recorded absence frequency among male Dutch blue-collar workers from a metal factory in the Netherlands. By employing LISREL, the model is developed (tested and revised) in Plant North (N = 254), and successfully cross-validated in Plant South (N= 199). The study demonstrates the impact of two social comparison processes upon absenteeism. Absenteeism is the result of: (a) the perception that one is less well-off than one's colleagues on several job aspects, and (b) the adjustment of one's personal absence norm to that of the work group. In addition, our study reveals that, rather than being absent or having tolerant absence norms, employees may develop feelings of resentment in response to perceived inequity and a tolerant group absence norm. It is concluded that social comparison theory enhances our understanding of absenteeism.     

Modeling Not-Reached Items in Timed Tests: A Response Time Censoring Approach

Psychometrika - Time limits are imposed on many computer-based assessments, and it is common to observe examinees who run out of time, resulting in missingness due to not-reached items. The present...     

Describing the Acquisition of Determiners in English: A Growth Modeling Approach

This paper, based on naturalistic data, describes the acquisitional course and use of the articles a and the in young English-speaking children (18-61 months), with special emphasis on the role of individual variation. A growth modeling approach to the data reveals that children's individual acquisition schedules are similar in trend, but vary in the rate at which they omit determiners at a given point of time. This picture suggests that an analysis that presumes homogeneous development will seriously misrepresent the fluctuations between and within individuals. Interestingly, this variation does not reflect a variation in children's abilities to use determiners correctly-irrespective of the rate in which they used determiners, children seldom used determiners incorrectly. The analysis also reveals that children's optional omission of determiners in obligatory contexts, beginning at 18 months of age, gradually decreases on average by 3-4% a month until 36 months of age, and thereafter plunges by a factor of 10 to an average of 0.3% per month. At 36 month of age the majority of children use determiners at a near-mastery level (Brown, 1973). These findings provide a useful framework for theorizing about possible mechanisms underlying the nature of early language development pre- and post-36 months of age.     

Culture and the Structure of Affect: A Bifactor Modeling Approach

This paper tested the impact of culture on the basic structure of affect. It examined positive affect and negative affect at three levels of activation in the U.S. and China. It used a well-suited tool, the bifactor model, to separate the common variance shared by all types of affect from the variance unique to each. The findings indicate that the structure of affect is different cross-culturally. In the U.S., the most fundamental dimension is defined by moderate activation of positive affect and negative affect, which is the largely bipolar dimension of pleasure-displeasure, whereas in China, it is defined by moderate activation of positive affect only, which is pleasure. In both cultures, negative affect across levels of activation forms another important dimension. Beyond these basic dimensions, secondary dimensions are also identified in both cultures: high activation positive affect, low activation positive affect, and low activation negative affect. They form relatively weak unique factors, independent of the two basic dimensions, suggesting that they are largely mixtures of the basic dimensions.     

Mindful Learning: A Moderator of Gender Differences in Mathematics Performance

Past research has demonstrated that males outperform females in mathematics (Hyde, J. S., Fennema, E., & Lamon, S. J., Psychol Bull 107:139–155, 1990a). Research has also shown that encouraging mindful learning–learning information in a conditional rather than an absolute way–can increase mathematics performance in females (Ritchhart, R., & Perkins, D. N., J Social Issues 56:27–47, 2000). This paper examines the moderating role of mindful learning for gender differences, by manipulating mindful learning for females’ and males’ performance on a novel math task. The results from this study show that males performed better than females when mindful learning was not encouraged (absolute instruction), but males and females performed equally well when mindful learning was encouraged (conditional instruction). Thus we find that mindful learning moderates gender differences in math performance.     

Testing for Association Using Multiple Response Survey Data: Approximate Procedures Based on the Rao-Scott Approach

This article discusses approximate tests of marginal association in 2-way tables in which one or both response variables admit multiple responses. Although multiple-response questions appear in all fields of research, including sociology, education, and marketing, the development of association tests that can be used with multiple-response data is very recent. A simple test procedure proposed by Agresti and Liu (1999) is extended to tests of association between 2 multiple-response variables, and it is shown that the procedure is a member of the first-order Rao-Scott family of corrected chi-squared statistics. A second-order Rao-Scott version of this procedure is developed. The Type I error control of both first- and second-order procedures is examined through calculation and simulation.     

The Relationship Between Narcissism and Friendship Qualities in Adolescents: Gender as a Moderator

The present study explored the gender characteristics of narcissism as well as its relationship with friendship quality dimensions (i.e., trust & support, validation, and disclosure & communication) among 485 (197 boys and 288 girls) junior high and high school adolescents in a Southwest province in China. Significant gender differences were found, such that boys were more narcissistic than girls,while girls reported higher levels of friendship qualities, including validation and disclosure & communication. To examine gender moderations in the relationships between narcissism and friendship quality dimensions, multiple-group (by boys and girls) structural equation modeling were conducted. The results revealed the significant gender moderations in the associations between narcissism and friendship quality dimensions, while controlling for adolescent grade level. Specifically, narcissism significantly and positively related to the three aspects of friendship qualities (i.e., trust & support, validation, and disclosure & communication) among boys, but was not related to friendship quality among girls. Discussions are provided for an understanding of the current findings in the Chinese cultural context.