Based on earlier studies using the 1999 and 2004 National Study of Postsecondary Faculty (NSOPF) data [1, 2], a causal model explaining faculty technology use was constructed. Path analysis was used to test the causal effects of age, gender, highest degree, discipline (health science or not), recent research productivity, and teaching load on…

The ability to derive predictions for the outcomes of potential actions from observational data is one of the hallmarks of true causal reasoning. We present four learning experiments with deterministic and probabilistic data showing that people indeed make different predictions from causal models, whose parameters were learned in a purely…

The topic of "truncation by death" in randomized experiments arises in many fields, such as medicine, economics and education. Traditional approaches addressing this issue ignore the fact that the outcome after the truncation is neither "censored" nor "missing," but should be treated as being defined on an extended sample space. Using an…

Based on a review of prior research, a causal model was proposed to explain the relationship between child abuse, dissociation, depression, and revictimization. In the model, dissociation and depression were proposed as mediator variables, developing out of child abuse and leading to revictimization. Subjects were 301 male and female university…

Most reading time studies using naturalistic texts yield data sets characterized by a multilevel structure: Sentences (sentence level) are nested within persons (person level). In contrast to analysis of variance and multiple regression techniques, hierarchical linear models take the multilevel structure of reading time data into account. They…

Purpose: This study simultaneously examined predictors of phonological awareness within the framework of 2 theories: the phonological distinctness hypothesis and the lexical restructuring model. Additionally, age as a moderator of the relations between predictor variables and phonological awareness was examined. Method: This cross-sectional…

Investigates the long-term educational development of African American adolescents. The dependent variable was the highest level of education that participants ever expected to receive. Path models revealed differing processes for women and men. Overall, effects of early academic performance variables were strongest, followed by effects of family…

Nonlinear relationships and latent variable assumptions can lead to serious specification errors in structural models. A quadratic relationship, described by a linear structural model with a latent variable, is shown to have less predictive validity than a simple manifest variable regression model. Advocates the use of simpler preliminary…

This study compared the strength of competing causal models in explaining the relationship between perceived support, enacted support, and social anxiety in adolescents. The social causation hypothesis postulates that social support causes social anxiety, whereas the social selection hypothesis postulates that social anxiety causes social support.…

The data discussed in this paper are from the television game show "Friend or Foe", and can be used to examine whether age, gender, race, and the amount of prize money affect contestants' strategies. The data are suitable for a variety of statistical analyses, such as descriptive statistics, testing for differences in means or proportions, and…

Develops and estimates a causal model describing the relationship between bureaucracy, legitimacy, and community as predictors of teachers' job satisfaction, using data from a national survey of National Education Association teacher members. Bureaucracy has important effects on community via legitimacy. Legitimacy has greater effects than…

A structural model predicting the educational and career expectations of 282 Mexican American high school girls was developed and tested. Predictors included socioeconomic status, acculturation, academic achievement, instrumentality, expressiveness, gender role attitudes, parental and teacher support, family and career commitment, and perceptions…

This study introduces three growth modeling techniques: latent growth modeling (LGM), hierarchical linear modeling (HLM), and longitudinal profile analysis via multidimensional scaling (LPAMS). It compares the multilevel growth parameter estimates and potential predictor effects obtained using LGM, HLM, and LPAMS. The purpose of this multilevel…

Problem behaviors during adolescence can include substance use, low educational achievement, delinquent or conduct-disordered behavior, and indiscriminant, precocious, or risky sexual behavior. Despite the dissimilarities of these behaviors, some researchers believe that such actions share common underlying causes, which can be explained by the…

Examines the relationships of smoking-related beliefs, attitudes, and smoking status, with a focus on experimental smoking. Survey results of 9,774 respondents suggest that attitude and belief variables can adequately predict smoking stages of adolescents as defined by the stage model of smoking acquisition. Argues that intervention with…