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Martel, Michelle M.; Nigg, Joel T.; von Eye, Alexander – Journal of Abnormal Child Psychology, 2009
Theories of Attention-Deficit/Hyperactivity Disorder (ADHD) implicate dysfunctional regulation mechanisms that have been conceptually grouped into "top-down" control and "bottom-up" affective/reactive processes. This dual-process account can be invoked in relation to temperament or personality traits and may clarify how traits relate to ADHD. Two…
Descriptors: Personality Traits, Structural Equation Models, Hyperactivity, Attention Deficit Disorders
Understanding Predictors of Enrollment in Advanced Placement (AP) Coursework among Latina/o Students
Cavazos, Lionel Javier, Jr. – ProQuest LLC, 2012
The purpose of this study was to (a) determine the extent to which Latina/o students' perceptions of support from high school teachers and counselors, as well as acculturation, predict enrollment in AP coursework; (b) examine Latina/o students' perceptions of different forms of support that appear to play a role in academic success (Hassinger…
Descriptors: Advanced Placement, Predictor Variables, Enrollment Influences, Hispanic American Students
Wyker, Brett A.; Jordan, Patricia; Quigley, Danielle L. – Journal of Nutrition Education and Behavior, 2012
Objective: Application of the Transtheoretical Model (TTM) to Supplemental Nutrition Assistance Program Education (SNAP-Ed) evaluation and development and validation of an evaluation tool used to measure TTM constructs is described. Methods: Surveys were collected from parents of children receiving food at Summer Food Service Program sites prior…
Descriptors: Structural Equation Models, Self Efficacy, Nutrition, Parents
Bowman, Nicholas A.; Brandenberger, Jay W.; Hill, Patrick L.; Lapsley, Daniel K. – Journal of College Student Development, 2011
Many college administrators and researchers assert that diversity interactions are critical for preparing young adults for a diverse society, but very little research has examined the long-term impact of these experiences. This study examines a longitudinal sample of college students (n = 416) who were followed into their mid-30s. Structural…
Descriptors: College Students, Structural Equation Models, Graduation, Young Adults
Miranda, Patricia Y.; Gonzalez, Hector M.; Tarraf, Wassim – Hispanic Journal of Behavioral Sciences, 2011
The purpose of this study was to assess the association between acculturation and functional health using multiple proxies of acculturation to examine explanatory pathways to clarify disparate health findings. A population-based cross-sectional, multistage probability sample from the Hispanic Established Populations for the Epidemiologic Studies…
Descriptors: Structural Equation Models, Acculturation, Probability, Depression (Psychology)
Freedman, David A.; Berk, Richard A. – Evaluation Review, 2008
Regressions can be weighted by propensity scores in order to reduce bias. However, weighting is likely to increase random error in the estimates, and to bias the estimated standard errors downward, even when selection mechanisms are well understood. Moreover, in some cases, weighting will increase the bias in estimated causal parameters. If…
Descriptors: Causal Models, Weighted Scores, Error of Measurement, Case Studies
Rantanen, Johanna; Kinnunen, Ulla; Feldt, Taru; Pulkkinen, Lea – Journal of Vocational Behavior, 2008
The rank-order stability and cross-lagged relations between work-to-family conflict (WFC), family-to-work conflict (FWC), and psychological well-being were examined in two longitudinal studies with full two-wave panel designs. In Study 1 (n = 365), the time lag was one year, and in Study 2 (n = 153), six years. The Structural Equation Modeling…
Descriptors: Stress Variables, Structural Equation Models, Psychology, Longitudinal Studies
Lee, Sik-Yum; Xia, Ye-Mao – Psychometrika, 2008
In this paper, normal/independent distributions, including but not limited to the multivariate t distribution, the multivariate contaminated distribution, and the multivariate slash distribution, are used to develop a robust Bayesian approach for analyzing structural equation models with complete or missing data. In the context of a nonlinear…
Descriptors: Structural Equation Models, Bayesian Statistics, Evaluation Methods, Evaluation Research
Zampetakis, Leonidas A. – Thinking Skills and Creativity, 2008
The study tested the extent to which perceived desirability mediates the effects of student creativity and proactivity on entrepreneurial intent. Participants were 199 engineering and business university students from Greek Universities. Results using Structural Equation Modelling indicated that perceived desirability fully mediates the…
Descriptors: Creativity, Entrepreneurship, Students, Higher Education
Reeve, Charlie L.; Bonaccio, Silvia – Intelligence, 2008
Although test anxiety is typically negatively related to performance on cognitive ability tests, little research has systematically investigated whether differences in test anxiety result in measurement bias on cognitive ability tests. The current paper uses a structural equation modeling technique to explicitly test for measurement bias due to…
Descriptors: Structural Equation Models, Test Anxiety, Cognitive Ability, Bias
dos Santos, A. L. C.; da Silva, P. N. – International Journal of Mathematical Education in Science and Technology, 2008
We use the Implicit Function Theorem to establish a result of non-existence of limit to a certain class of functions of several variables. We consider functions given by quotients such that both the numerator and denominator functions are null at the limit point. We show that the non-existence of the limit of such function is related with the…
Descriptors: Arithmetic, Demonstrations (Educational), Structural Equation Models, Path Analysis
Wu, Tsui-Feng; Wei, Meifen – Journal of Counseling Psychology, 2008
This study examined a model in which the need for reassurance from others and the capacity for self-reinforcement mediated the relationships between two dimensions of perfectionism (evaluative concerns [EC] perfectionism and personal standards [PS] perfectionism) and anxiety and depression. Results from structural equation modeling of data from…
Descriptors: Structural Equation Models, Reinforcement, Self Reward, Depression (Psychology)
Allua, Shane; Stapleton, Laura M.; Beretvas, S. Natasha – Educational and Psychological Measurement, 2008
When assessing latent mean differences, researchers frequently do not explore possible heterogeneity within their data sets. Sources of differences may be functions of a nested data structure or heterogeneity in the form of unobserved classes of observations defined by a difference in factor means. In this study, the use of multilevel structural…
Descriptors: Structural Equation Models, Item Response Theory, Social Sciences, Multivariate Analysis
Raykov, Tenko; Mels, Gerhard – Structural Equation Modeling: A Multidisciplinary Journal, 2007
This article presents a didactic discussion of a multilevel covariance structure modeling approach to estimation of lowest level mediation effect indexes in two-level studies. The procedure is useful when addressing questions about relations among total and indirect effects between variables of interest while accounting for the hierarchical…
Descriptors: Intervals, Structural Equation Models, Syntax, Mediation Theory
Chan, Wai – Structural Equation Modeling: A Multidisciplinary Journal, 2007
In social science research, an indirect effect occurs when the influence of an antecedent variable on the effect variable is mediated by an intervening variable. To compare indirect effects within a sample or across different samples, structural equation modeling (SEM) can be used if the computer program supports model fitting with nonlinear…
Descriptors: Structural Equation Models, Social Science Research, Computer Software