The present two-wave longitudinal study examined the extent to which physical education (PE) teachers' democratic and socially supportive behavior, pupils' goal orientations, and the perceived motivational climate in PE explained differences in pupils' intended helping behavior by gender in PE classes. The results of 105 boys and 109 girls based…

A multilevel latent transition analysis (LTA) with a mixture IRT measurement model (MixIRTM) is described for investigating the effectiveness of an intervention. The addition of a MixIRTM to the multilevel LTA permits consideration of both potential heterogeneity in students' response to instructional intervention as well as a methodology for…

In education randomized control trials (RCTs), the misreporting of student outcome data could lead to biased estimates of average treatment effects (ATEs) and their standard errors. This article discusses a statistical model that adjusts for misreported binary outcomes for two-level, school-based RCTs, where it is assumed that misreporting could…

Researchers in career and technical education often ignore more effective ways of reporting and treating missing data and instead implement traditional, but ineffective, missing data methods (Gemici, Rojewski, & Lee, 2012). The recent methodological, and even the non-methodological, literature has increasingly emphasized the importance of…

Previously, we adapted the Home Situations Questionnaire to measure behavioral non-compliance in everyday settings in children with pervasive developmental disorders. In this study, we further revised this instrument for use in autism spectrum disorder and examined its psychometric properties (referred to as the Home Situations…

A well-known ad-hoc approach to conducting structural equation modeling with missing data is to obtain a saturated maximum likelihood (ML) estimate of the population covariance matrix and then to use this estimate in the complete data ML fitting function to obtain parameter estimates. This 2-stage (TS) approach is appealing because it minimizes a…

In multidimensional item response theory (MIRT), it is possible for the estimate of a subject's ability in some dimension to decrease after they have answered a question correctly. This paper investigates how and when this type of paradoxical result can occur. We demonstrate that many response models and statistical estimates can produce…

When data are not missing at random (NMAR), maximum likelihood (ML) procedure will not generate consistent parameter estimates unless the missing data mechanism is correctly modeled. Understanding NMAR mechanism in a data set would allow one to better use the ML methodology. A survey or questionnaire may contain many items; certain items may be…

The author examined the relationship between alumni giving and membership in a dues-based alumni association. The researcher used the chi-square test of association to analyze population data derived from the database of a public doctoral-granting research university in the South. The study unveiled a relationship between membership and giving,…

Using data from the National Longitudinal Transition Study-2, this article examines the relationships among three of Wehmeyer's components of self-determination (autonomy, empowerment, and self-realization) and subsequent reported access to postsecondary education in transitioning youths receiving Supplemental Security Income benefits. Results of…

The goal of "college-for-all" in the United States has been pursued in an environment of rising tuition, stagnant grant aid and already strapped family budgets with the gap filled by college loans. College students are thus facing increasing levels of debt as they seek to develop their human capital and improve their career options. Debt…

In longitudinal education studies, assuming that dropout and missing data occur completely at random is often unrealistic. When the probability of dropout depends on covariates and observed responses (called "missing at random" [MAR]), or on values of responses that are missing (called "informative" or "not missing at random" [NMAR]),…

The sizable gender gap in college enrolment, especially among African Americans, constitutes a puzzling empirical regularity that may have serious consequences on marriage markets, male labor force participation and the diversity of college campuses. For instance, only 35.7 percent of all African American undergraduate students were men in 2004.…

In randomized control trials (RCTs) of educational interventions, there is a growing literature on impact estimation methods to adjust for missing student outcome data using such methods as multiple imputation, the construction of nonresponse weights, casewise deletion, and maximum likelihood methods (see, for example, Allison, 2002; Graham, 2009;…

Predictors of two types of cohabitation dissolution, dissolution with a continued romantic relationship and without (i.e., breakup), were examined using data from mothers cohabiting at the time of a nonmarital birth in the Fragile Families and Child Wellbeing Study (N = 1,624). Life tables indicated 64% of unions dissolved within 5 years; of…