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Moeyaert, Mariola – Behavioral Disorders, 2019
Multilevel meta-analysis is an innovative synthesis technique used for the quantitative integration of effect size estimates across participants and across studies. The quantitative summary allows for objective, evidence-based, and informed decisions in research, practice, and policy. Based on previous methodological work, the technique results in…
Descriptors: Meta Analysis, Evidence, Correlation, Predictor Variables
Hedberg, E. C.; Hedges, L. V.; Kuyper, A. M. – Society for Research on Educational Effectiveness, 2015
Randomized experiments are generally considered to provide the strongest basis for causal inferences about cause and effect. Consequently randomized field trials have been increasingly used to evaluate the effects of education interventions, products, and services. Populations of interest in education are often hierarchically structured (such as…
Descriptors: Randomized Controlled Trials, Hierarchical Linear Modeling, Correlation, Computation
Sullivan, Kristynn J.; Shadish, William R. – Society for Research on Educational Effectiveness, 2013
Single case designs (SCDs) are short time series that assess intervention effects by measuring units repeatedly over time both in the presence and absence of treatment. For a variety of reasons, interest in the statistical analysis and meta-analysis of these designs has been growing in recent years. This paper proposes modeling SCD data with…
Descriptors: Models, Longitudinal Studies, Data, Research Design
Paschall, Katherine W.; Mastergeorge, Ann M. – International Journal of Behavioral Development, 2016
The concept of bidirectionality represents a process of mutual influence between parent and child, whereby each influences the other as well as the dyadic relationship. Despite the widespread acceptance of bidirectional models of influence, there is still a lack of integration of such models in current research designs. Research on…
Descriptors: Educational Research, Educational History, Parent Child Relationship, Interaction
Pituch, Keenan A.; Whittaker, Tiffany A.; Chang, Wanchen – American Journal of Evaluation, 2016
Use of multivariate analysis (e.g., multivariate analysis of variance) is common when normally distributed outcomes are collected in intervention research. However, when mixed responses--a set of normal and binary outcomes--are collected, standard multivariate analyses are no longer suitable. While mixed responses are often obtained in…
Descriptors: Intervention, Multivariate Analysis, Mixed Methods Research, Models
Aparicio, Ricardo Antonio – ProQuest LLC, 2013
The rapid pace of change for knowledge workers competing globally necessitates ongoing continuous learning. Increasingly, knowledge workers will need to be ready--willing and able--to engage in self-directed learning. This makes it important to understand what factors in the work environment might be related to the self-directed learning…
Descriptors: Transformational Leadership, Independent Study, Learning Readiness, Supervisors
Pigott, Therese D.; Williams, Ryan T.; Polanin, Joshua R.; Wu-Bohanon, Meng-Jia – Society for Research on Educational Effectiveness, 2012
The purpose of this research to investigate the heterogeneity of per-pupil expenditure (PPE) slope estimates in predicting student achievement. The research question guiding this project is: how does the measured relationship between per-pupil expenditure vary across studies that use different models? In concert with SREE's 2012 conference mission…
Descriptors: Productivity, Expenditures, Academic Achievement, Regression (Statistics)
Ho, Hsin-Ning – ProQuest LLC, 2010
This study examined the impact of different levels of task difficulty and expertise on self-efficacy judgments. In addition, the study examines how self-efficacy judgments affect the amount of mental effort investment and task performance under different levels of task difficulty and expertise. Results from this study are used to build a…
Descriptors: Research Design, Self Efficacy, Path Analysis, Expertise
Rakison, David H.; Yermolayeva, Yevdokiya – Journal of Cognition and Development, 2011
A longstanding and fundamental debate in developmental science is whether knowledge is acquired through domain-specific or domain-general mechanisms. To date, there exists no tool to determine whether experimental data support one theoretical approach or the other. In this article, we argue that the U- and N-shaped curves found in a number of…
Descriptors: Research Design, Cognitive Processes, Infants, Brain
Stolpe, Karin; Bjorklund, Lars – International Journal of Science Education, 2012
This study aims to investigate two expert ecology teachers' ability to attend to essential details in a complex environment during a field excursion, as well as how they teach this ability to their students. In applying a cognitive dual-memory system model for learning, we also suggest a rationale for their behaviour. The model implies two…
Descriptors: Foreign Countries, Observation, Holistic Approach, Familiarity
Cole, David A.; Ciesla, Jeffrey A.; Steiger, James H. – Psychological Methods, 2007
In practice, the inclusion of correlated residuals in latent-variable models is often regarded as a statistical sleight of hand, if not an outright form of cheating. Consequently, researchers have tended to allow only as many correlated residuals in their models as are needed to obtain a good fit to the data. The current article demonstrates that…
Descriptors: Research Design, Multitrait Multimethod Techniques, Measurement Techniques, Correlation

Kraemer, Helena Chmura – Psychometrika, 1979
Coefficient Kappa is generally defined in terms of procedures of computation rather than in terms of a population. Here a population definition is proposed. Factors influencing the magnitude of Kappa are identified. Strategies to improve reliability are proposed, including that of combining multiple unreliable diagnoses. (Author/CTM)
Descriptors: Correlation, Models, Reliability, Research Design

Heimerl, Beatrice B. – Delta Pi Epsilon Journal, 1970
In experimentation where change in X produces a change in Y, the researcher must identify, measure, and control intervening variables by experimental design or statistical procedure. (Author)
Descriptors: Business Education, Comparative Analysis, Correlation, Models
Valentine, Jeffrey C.; Hirschy, Amy S.; Bremer, Christine D.; Novillo, Walter; Castellano, Marisa; Banister, Aaron – National Research Center for Career and Technical Education, 2009
This paper focuses on transition programs for youth to postsecondary education, broadly considered. It addresses the following questions: (1) What models or programs of transition exist? (2) On what basis can we say one transition program is more effective than another? In other words, how is successful transition defined? (3) How are…
Descriptors: Quasiexperimental Design, Program Evaluation, Disadvantaged Youth, Public Policy
Seidel, Tina; Shavelson, Richard J. – Review of Educational Research, 2007
This meta-analysis summarizes teaching effectiveness studies of the past decade and investigates the role of theory and research design in disentangling results. Compared to past analyses based on the process-product model, a framework based on cognitive models of teaching and learning proved useful in analyzing studies and accounting for…
Descriptors: Research Design, Theory Practice Relationship, Research Methodology, Effect Size
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