Sentences with phrase «multilevel modeling methods»

This paper attempts to evaluate these factors using multilevel modeling methods where the traits of individual research group participants (e.g. gender, ethnicity, discipline area) are modeled within group - level factors (e.g. number of meetings, group size, group composition) as determinants of Working Group - related journal article production.

Not exact matches

Ms. Bai is a dual - title Ph.D. candidate in Educational Theory & Policy and Comparative International Education at the Pennsylvania State University specializing in a variety of statistical methods, including multilevel modeling, structural equation modeling, and propensity score matching.

Rather, I recommend that they --- you --- become aware (to the best of your technical ability) of how these methods work, so you can use them in cases where they are most appropriate (these situations would include forecasting, multilevel modeling, inference for complex models with many parameters, and settings with weak data).

Articles discuss methodological challenges and opportunities in family and couple research, including outcome, cost - effectiveness, qualitative, and narrative research; video - recall procedures, multilevel methods, diary methods, and cluster analysis; and moderator effects, the actor — partner interdependence model, survival analysis, and ethical issues.

METHODS: Data had a hierarchical structure and were analyzed using multilevel logistic regression models.

These evaluations will use propensity score matching methods and multilevel modelling.

This paper illustrates a method for operationalizing affect dynamics using a multilevel stochastic differential equation (SDE) model, and examines how those dynamics differ with age and trait - level tendencies to deploy emotion regulation strategies (reappraisal and suppression).

Van den Noortgate and Onghena (2003) compared multilevel meta - analysis with traditional meta - analytic methods and concluded that maximum likelihood multilevel approach is in general superior to the fixed - effects approaches and that the results of the multilevel approach are not substantially different from the results of the traditional random - effects approaches for intercept only models.

«The application of hierarchical linear modeling to management research,» in Multilevel Theory, Research, and Methods in Organizations: Foundations, Extensions, and New Directions, eds K. J. Klein, and S. W. J. Kozlowski (Hoboken, NJ: Jossey - Bass), 467 — 511.

Thus, we controlled for three level 1 variables (age, pubertal status, and treatment delivery method), two level 2 variables (baseline social status and baseline BMI), and the interaction between age and BMI in cross-sectional multilevel models.