Boys’ and girls’ involvement in science learning and their self‐efficacy in Taiwan

This cross‐sectional study investigated the significant differences in students’ self‐efficacy and their involvement in learning science. Nine hundred and twenty‐two elementary school fifth graders, 499 junior high school eighth graders, and 1455 senior or vocational high school eleventh graders completed the students’ questionnaire. Analyses of variance (ANOVAs) and independent t‐tests compared the significant similarities and differences across school levels and genders. The initial findings were as follows: A sharp decline in boys’ and girls’ self‐efficacy scores from elementary to secondary school levels; boys have significantly higher self‐efficacy scores than girls at vocational and senior high school levels; students with more involvement in science learning presented significantly higher self‐efficacy scores than those with less involvement. The significant discrepancies in terms of gender and age in students’ self‐efficacy and involvement in learning science need to be addressed. Implications and limitations are provided.     

Childhood Abuse and Neglect in an Outpatient Clinical Sample: Prevalence and Impact

The study examined the prevalence of five types of childhood trauma in a sample of adult clients (n = 497) as well as their long-term relation to trauma symptoms in adulthood. Results showed a high prevalence of abuse and neglect with emotional abuse and neglect being the most common ones. Emotional abuse was the best and strongest predictor of trauma symptoms in adulthood, including anxiety, depression, defensive avoidance, as well as internal confusion and emptiness. The results indicated that experience of emotional abuse is no less significant than that of physical and sexual abuse in its long-term impact. Clinical implication was provided.     

The Association Between Adult Attachment Styles and Conflict Resolution in Romantic Relationships

This study examined whether adult attachment was predictive of conflict resolution behaviors and satisfaction in romantic relationships. It adopted a two-dimensional conceptualization for both adult attachment style (model of self, model of others) and conflict resolution behaviors (concern for self, concern for others). Both adult attachment dimensions, Avoidance and Anxiety, were predictive of conflict resolution behaviors and relationship satisfaction. Gender differences existed in conflict resolution behaviors, but they were not as strong a predictor as attachment characteristics of conflict resolution and relationship satisfaction. No gender differences were found in attachment styles.     

Knowledge and economic growth—creativity,learning and knowledge utilization

The purpose of this study is to discuss the dynamic interdependence of knowledge and economic growth. We show that the traditional economics, which treats knowledge as parameters and is mainly developed within linearized, stable and static frameworks can hardly explain the modern economic complexity. We argue that it is necessary to treat creativity, learning and knowledge utilization as endogenous dynamic processes of social and economic evolution. To handle with the complicated dynamic interdependence of wealth and knowledge accumulation, we need to apply genuine nonlinear dynamic theory. In particular, we discuss possible benefits of government's intervention in education and science to the society when the social and economic evolution is characterized of nonlinearity, instability and multi‐equilibria.     

A Computationally Efficient State Space Approach to Estimating Multilevel Regression Models and Multilevel Confirmatory Factor Models

Although the state space approach for estimating multilevel regression models has been well established for decades in the time series literature, it does not receive much attention from educational and psychological researchers. In this article, we (a) introduce the state space approach for estimating multilevel regression models and (b) extend the state space approach for estimating multilevel factor models. A brief outline of the state space formulation is provided and then state space forms for univariate and multivariate multilevel regression models, and a multilevel confirmatory factor model, are illustrated. The utility of the state space approach is demonstrated with either a simulated or real example for each multilevel model. It is concluded that the results from the state space approach are essentially identical to those from specialized multilevel regression modeling and structural equation modeling software. More importantly, the state space approach offers researchers a computationally more efficient alternative to fit multilevel regression models with a large number of Level 1 units within each Level 2 unit or a large number of observations on each subject in a longitudinal study.     

Detecting Misspecified Multilevel Structural Equation Models with Common Fit Indices: A Monte Carlo Study

This study investigated the sensitivity of common fit indices (i.e., RMSEA, CFI, TLI, SRMR-W, and SRMR-B) for detecting misspecified multilevel SEMs. The design factors for the Monte Carlo study were numbers of groups in between-group models (100, 150, and 300), group size (10, 20, 30, and 60), intra-class correlation (low, medium, and high), and the types of model misspecification (Simple and Complex). The simulation results showed that CFI, TLI, and RMSEA could only identify the misspecification in the within-group model. Additionally, CFI, TLI, and RMSEA were more sensitive to misspecification in pattern coefficients while SRMR-W was more sensitive to misspecification in factor covariance. Moreover, TLI outperformed both CFI and RMSEA in terms of the hit rates of detecting the within-group misspecification in factor covariance. On the other hand, SRMR-B was the only fit index sensitive to misspecification in the between-group model and more sensitive to misspecification in factor covariance than misspecification in pattern coefficients. Finally, we found that the influence of ICC on the performance of targeted fit indices was trivial.     

Sensitivity of Fit Indices to Misspecification in Growth Curve Models

This study investigated the sensitivity of fit indices to model misspecification in within-individual covariance structure, between-individual covariance structure, and marginal mean structure in growth curve models. Five commonly used fit indices were examined, including the likelihood ratio test statistic, root mean square error of approximation, standardized root mean square residual, comparative fit index, and Tucker-Lewis Index. The fit indices were found to have differential sensitivity to different types of misspecification in either the mean or covariance structures with severity of misspecification controlled. No fit index was always more (or less) sensitive to misspecification in the marginal mean structure relative to those in the covariance structure. Specifying the covariance structure to be saturated can substantially improve the sensitivity of fit indices to misspecification in the marginal mean structure; this result might help identify the sources of specification error in a growth curve model. An empirical example of children's growth in math achievement (Wu, West, &; Hughes, 2008 Wu, W., West, S. G. and Hughes, J. N. 2008. Effect of retention in first grade on children's achievement trajectories over four years: A piecewise growth analysis using propensity score matching.. Journal of Educational Psychology, 100: 727–740. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) was used to illustrate the results.     

The Roles of Semantic Sense and Form-Meaning Connection in Translation Priming

The Psychological Record - This study examines semantic sense and form-meaning connection across the bilingual’s languages as factors behind translation priming asymmetry, which refers to...     

The Best Friend and Friendship Group Influence on Adolescent Nonsuicidal Self-injury

This study examined associations of peer socialization and selection, over time, with nonsuicidal self-injury (NSSI) among 5,787 (54.2 % females) Chinese community adolescents. Both effects were tested using two aspects of adolescents’ friendship networks: the best friend and the friendship group. Participants completed questionnaires assessing NSSI, depressive symptoms and maladaptive impulsive behaviors at two waves of time over a 6-month period. Results showed that even after controlling for the effects of depressive symptoms and maladaptive impulsive behaviors, the best friends’ engagement in NSSI still significantly predicted adolescents’ own engagement in NSSI. Adolescents’ friendship groups’ NSSI status also significantly predicted their own NSSI status and frequency. Additionally, adolescents with NSSI tended to join peer groups with other members also engaging in NSSI.     

不同线索下特质焦虑个体的返回抑制

焦虑与注意偏向的研究是近年来情绪与认知领域的热点。为探讨特质焦虑个体的注意偏向特点及其返回抑制能力是否受不同线索的调节, 采用特质焦虑量表筛选高特质焦虑大学生29名, 低特质焦虑大学生28名完成线索-靶子任务。要求被试在提示线索消失后, 对位置进行快而准地辨别反应, 分别探索中性和情绪性提示线索下被试的返回抑制。结果发现：(1)在中性线索条件下, 高焦虑个体平均反应时慢于低焦虑个体。(2) 在情绪线索条件下, 高焦虑个体在负性线索下的反应时小于在正性线索下的反应时; 高、低焦虑个体在各种SOA条件下均出现了返回抑制, 但各组返回抑制量受到情绪线索的调节：在正性情绪线索条件下, 两组返回抑制量没有显著差异; 在负性情绪线索下, 高焦虑个体返回抑制量显著小于低焦虑个体。这表明, (1)焦虑个体的注意偏向受到刺激信息的影响：只对负性情绪线索出现注意警觉; (2)只有在涉及负性情绪信息时高、低焦虑个体返回抑制能力才有差异, 高焦虑个体存在对负性情绪线索的抑制困难。