CFA Models with a General Factor and Multiple Sets of Secondary Factors

We propose a class of confirmatory factor analysis models that include multiple sets of secondary or specific factors and a general factor. The general factor accounts for the common variance among manifest variables, whereas multiple sets of secondary factors account for the remaining source-specific dependency among subsets of manifest variables. A special case of the model is further proposed which constrains the specific factor loadings to be proportional to the general factor loadings. This proportional model substantially reduces the number of model parameters while preserving the essential structure of the general model. Furthermore, the proportional model allows for the interpretation of latent variables as the expected values of the observed manifest variables, decomposition of the variances, and the inclusion of interactions, similar to generalizability theory. We provide two applications to illustrate the utility of the proposed class of models.     

Low‐income parents' warmth and parent–child activities for children with disabilities,suspected delays and biological risks

Warm and responsive parenting is optimal for child development, but this style of parenting may be difficult for some parents to achieve. This study examines how parents' observed warmth and their reported frequency of parent–child activities were related to children's classifications as having biological risks or a range of disability indicators. Children were low‐income prekindergarteners who participated in the Early Head Start Research and Evaluation Project Longitudinal Follow‐up. Data from parent, early care and education staff reports, and direct child assessments were used to classify children into the following groups: disabilities, suspected delays, biological risks, disabilities and biological risk, suspected delays and biological risk, and no disability indicator. Socioeconomic status (ethnicity, maternal education and poverty level) and maternal depression were controlled in the analyses. The parents of children with disabilities and suspected delays evidenced significantly lower levels of warmth and less frequent parent–child activities compared with other parents. The parents of children with biological risk factors who did not also have disabilities or suspected delays did not exhibit decreased warmth and less frequent parent–child activities. Copyright © 2010 John Wiley & Sons, Ltd.     

Enhancing Students' Engagement by Increasing Teachers' Autonomy Support

Engagement refers to the behavioral intensity and emotional quality of a person's active involvement during a task. Recognizing the benefits highly engaged people experience, we tested whether classroom teachers could incorporate the relatively foreign concept of autonomy support into their motivating styles as a way to promote their students' engagement during instruction. Teachers in an experimental group and teachers in a delayed-treatment control group received information and guidance consistent with self-determination theory on how to support students' autonomy. Over a series of 3 classroom observations, trained raters scored each teacher's autonomy support and 2 measures of their students' engagement–task involvement and influence attempts. Trained teachers displayed significantly more autonomy-supportive behaviors than did nontrained teachers. Further, the more teachers used autonomy support during instruction, the more engaged were their students. This was true on both measures of engagement.     

A Doubly Latent Space Joint Model for Local Item and Person Dependence in the Analysis of Item Response Data

Item response theory (IRT) is one of the most widely utilized tools for item response analysis; however, local item and person independence, which is a critical assumption for IRT, is often violated in real testing situations. In this article, we propose a new type of analytical approach for item response data that does not require standard local independence assumptions. By adapting a latent space joint modeling approach, our proposed model can estimate pairwise distances to represent the item and person dependence structures, from which item and person clusters in latent spaces can be identified. We provide an empirical data analysis to illustrate an application of the proposed method. A simulation study is provided to evaluate the performance of the proposed method in comparison with existing methods.

     

Residents’ Perceived Quality Of Life in a Cultural-Heritage Tourism Destination

Seasonal phenomena for a tourism destination may be key factors influencing residents’ perceived quality of life, in particular, during peak tourism seasons. Furthermore, these challenges may influence residents’ attitudes toward tourism support in the host community. Numerous studies have discussed the major impacts of tourism, such as economic benefits, social concerns, environmental sustainability, and their associations with residents’ attitudes toward tourism support in the host community. However, few studies have incorporated attributes of seasonal factors into variables regarding residents of the area, including dissatisfaction of living in the community, unsafe feeling due to rise in crime, frustration with traffic, and disruption of quality of life during peak tourism seasons. Therefore, this study attempts to investigate influences of seasonal attributes on residents’ perceptions of tourism impacts and, in turn, residents’ perceived quality life in a cultural-heritage tourism destination. Salem, Massachusetts, was selected for the study site, due to this city’s rich history and cultural heritages that draw tourists from around the world. For example, Salem attracts more than four times its population during the entire month of October, due to the wide range of tourism resources, such as month-long events (Haunted Happenings) in its correlation with the historical event of the witch trials in 1692. Data analysis supported all six hypotheses. Results confirmed seasonal factor attributes adversely affected residents’ perceptions of economic benefits; seasonal attributes positively affected residents’ perceived social costs; seasonal attributes inversely influenced residents’ perceptions of environment sustainability; perceptions of economic benefits positively impacted residents’ perceived quality of life; perceived social costs adversely affected residents’ perceived quality of life; and perceived environment sustainability positively affected residents’ perceived quality of life. Findings from this study could assist tourism decision-makers and planners when establishing local tourism planning and provide strategies to ensure residents’ quality of life year round. More specified managerial implications are discussed as well as limitations of this study and suggestions for future study.     

Gender and leadership emergence: A meta‐analysis and explanatory model

Research has shown that men tend to emerge as leaders more frequently than women. However, societal role expectations for both women and leaders have changed in the decades since the last empirical review of the gender gap in leader emergence (Eagly & Karau, 1991). We leverage meta‐analytic evidence to demonstrate that the gender gap has decreased over time, but a contemporary gap remains. To understand why this gap in leader emergence occurs, we draw on social role theory to develop a Gender‐Agency/Communion‐Participation (GAP) Model—an integrative theoretical model that includes both trait and behavioral mechanisms. Specifically, we examine a sequence of effects: from gender to agentic and communal personality traits, from these traits to behavioral participation in group activities, and ultimately from participation to leader emergence. The model is tested using original meta‐analyses of the personality and behavioral mechanisms (coding 1,632 effect sizes total). Gender differences in leadership emergence are predominately explained by agentic traits (positive) and communal traits (negative), both directly and through the mechanism of participation in group discussions. In addition, several paths in the theoretical model are moderated by situational contingencies. Our study enhances knowledge of the mechanisms and boundary conditions underlying the gender gap in leader emergence.     

Effects of emotion-induced self-focused attention on item and source memory

Motivation and Emotion - Affective states are closely linked to attention to internal aspects of the self (i.e., self-focused attention). We investigated how self-focused attention induced by...     

A modular approach for item response theory modeling with the R package flirt

The new R package flirt is introduced for flexible item response theory (IRT) modeling of psychological, educational, and behavior assessment data. flirt integrates a generalized linear and nonlinear mixed modeling framework with graphical model theory. The graphical model framework allows for efficient maximum likelihood estimation. The key feature of flirt is its modular approach to facilitate convenient and flexible model specifications. Researchers can construct customized IRT models by simply selecting various modeling modules, such as parametric forms, number of dimensions, item and person covariates, person groups, link functions, etc. In this paper, we describe major features of flirt and provide examples to illustrate how flirt works in practice.