Methods are needed for quantifying the potency and differential effects of risk factors to identify at-risk groups for theory building and intervention. Traditional methods for constructing war exposure measures are poorly suited to "unpack" differential relations between specific types of exposure and specific outcomes. This study of…

Research has identified school-related factors that are predictive of a student's involvement in delinquency: specifically, school-level communal school organization and individual-level student bonding. Hierarchical linear modeling was used to examine the multilevel relationships among these concepts in a nationally representative sample of…

School effects on students' achievement are relatively small. Another approach, in which students' growth trajectories are the focal point of interest, is able to demonstrate more sizeable school effects. This approach is applied in a study into school compositional effects. The rationale of this study is that in Dutch primary education such…

The aim of the present study is to explore a causal model of academic achievement and learning-related personal variables by testing the nature of relationships between learned hopelessness, its risk factors and hopelessness deficits as proposed in major theories in this area. The model investigates affective-motivational characteristics of…

In behavioral research, interest is often in examining the degree to which the effect of an independent variable X on an outcome Y is mediated by an intermediary or mediator variable M. This article illustrates how generalized estimating equations (GEE) modeling can be used to estimate the indirect or mediated effect, defined as the amount by…

In this article welfare systems and support networks are empirically analyzed to determine which generate the highest level of subjective well-being among retired persons. Propositions derived from support network theories and national welfare system typologies have been analyzed using causal models that indicate the influence of the various…

Mediators are variables that explain the association between an independent variable and a dependent variable. Structural equation modeling (SEM) is widely used to test models with mediating effects. This article illustrates how to construct confidence intervals (CIs) of the mediating effects for a variety of models in SEM. Specifically, mediating…

The purpose of this study was to investigate the relationship between school-based organizational structures that support teachers' development of Personalized Education Plans (PEPs) and their quality as written for third through fifth grade students in each of two Title I schools. A causal comparative design was implemented. Teachers' responses…

"Theory as Method: Small Theories of Treatments," by Mark W. Lipsey, is one of the most influential and highly cited articles to appear in "New Directions for Evaluation." It articulated an approach in which methods for studying causation depend, in large part, on what is known about the theory underlying the program. Lipsey discussed the benefits…

Conditionals in natural language are central to reasoning and decision making. A theoretical proposal called the Ramsey test implies the conditional probability hypothesis: that the subjective probability of a natural language conditional, P(if p then q), is the conditional subjective probability, P(q [such that] p). We report three experiments on…

According to generational theorists, the interests and experiences of incoming students have fluctuated over time, with Millennial students being more engaged and accomplished than their predecessors. This project explored data from 1974-2007 to determine the actual trends in engagement and accomplishments for three generations of students. Over…

A meta-analysis encompassing all studies evaluating the impact of the Triple P-Positive Parenting Program on parent and child outcome measures was conducted in an effort to identify variables that moderate the program's effectiveness. Hierarchical linear models (HLM) with three levels of data were employed to analyze effect sizes. The results (N =…

The purpose of this study is to analyze the effects of student and course characteristics on student satisfaction in courses by using a two-level hierarchical linear model (HLM). Based on literature reviews, 13 research variables ((1) student gender, (2) student academic year, (3) student major, (4) student reason for taking the course, (5)…

The causal relationships among the three presences in the Community of Inquiry (CoI) framework are explored and tested in this paper. The CoI framework has been used extensively in the research and practice of online and blended learning contexts. With the development of a survey instrument based on the CoI framework, it is possible to test the…

To predict suicide, explicit causal models of suicide outcome are needed in which predictors are temporally ordered and then tested statistically. Because suicide is a dichotomous, nominal scale outcome, only certain statistics for prediction are appropriate. Logistic regression, which utilizes the likelihood ratio test of statistical inference,…