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Feinberg, Mark E.; Gomez, Brendan J.; Puddy, Richard W.; Greenberg, Mark T. – Health Education & Behavior, 2008
Community coalitions (CCs) have labored with some difficulty to demonstrate empirical evidence of effectiveness in preventing a wide range of adolescent problem behaviors. Training and technical assistance (TA) have been identified as important elements in promoting improved functioning of CCs. A reliable, valid, and inexpensive method to assess…
Descriptors: Prevention, Construct Validity, Risk, Questionnaires
Bickel, Robert – Guilford Publications, 2007
This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical…
Descriptors: Regression (Statistics), Social Sciences, Statistical Analysis, Structural Equation Models
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Nilsson, Johanna E.; Love, Keisha M.; Taylor, Kathryn J.; Slusher, Anita L. – Journal of Counseling & Development, 2007
This study reviewed the content of articles and characteristics of samples in all quantitative articles published in the "Journal of Counseling & Development" between 1991 and 2000. The content analysis revealed that the areas that received the most attention were academic/career, multicultural issues, symptoms/disorders, and counseling process.…
Descriptors: Content Analysis, Periodicals, Statistical Analysis, Journal Articles
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Kitto, Richard J.; Barnett, John – American Journal of Evaluation, 2007
Despite the best of intentions, qualitative researchers can be faced, in some circumstances, with having to make meaning from thin, or less than optimal, data. Using a real study as context, the authors describe the ways that they made sense of their thin data on teachers' perceptions of a large-scale evaluation instrument. They propose a…
Descriptors: Sequential Approach, Qualitative Research, Data Interpretation, Electronic Mail
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Stage, Frances K. – New Directions for Institutional Research, 2007
Most traditional models, frameworks, and findings that apply to the majority of students and faculty do not adequately apply to important subpopulations. The recommendations here will help researchers become more sensitive to the nuances among various educational subgroups, and to pay more attention to outliers.
Descriptors: Probability, Statistical Analysis, Models, Higher Education
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Sotos, Ana Elisa Castro; Vanhoof, Stijn; Van den Noortgate, Wim; Onghena, Patrick – Educational Research Review, 2007
A solid understanding of "inferential statistics" is of major importance for designing and interpreting empirical results in any scientific discipline. However, students are prone to many misconceptions regarding this topic. This article structurally summarizes and describes these misconceptions by presenting a systematic review of publications…
Descriptors: Research Needs, Research Methodology, Statistical Inference, Statistics
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Richardson, John T. E. – Educational Research Review, 2007
Characterising the relationship between participants' scores on two different questionnaires is a common problem in educational research. The complement of the statistic known as Wilks' lambda measures the amount of variance shared between the scores obtained by the same group of participants on two sets of variables. (1 - lambda) is symmetric, in…
Descriptors: Evaluation Research, Educational Research, Questionnaires, Scores
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Onwuegbuzie, Anthony J.; Leech, Nancy L. – Qualitative Report, 2007
The purpose of this paper is to provide a typology of sampling designs for qualitative researchers. We introduce the following sampling strategies: (a) parallel sampling designs, which represent a body of sampling strategies that facilitate credible comparisons of two or more different subgroups that are extracted from the same levels of study;…
Descriptors: Qualitative Research, Sampling, Comparative Analysis, Generalization
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Yeager, Joseph; Sommer, Linda – Qualitative Report, 2007
Combining psycholinguistic technologies and systems analysis created advances in motivational profiling and numerous new behavioral engineering applications. These advances leapfrog many mainstream statistical research methods, producing superior research results via cause-effect language mechanisms. Entire industries explore motives ranging from…
Descriptors: Research Tools, Qualitative Research, Language Research, Systems Analysis
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Yeager, Joseph; Sommer, Linda – Qualitative Report, 2007
Written and spoken language contains inherent mechanisms driving motivation. Accessing and modifying psycholinguistic mechanisms, links language frames to changes in behavior within the context of motivational profiling. For example, holding an object like an imported apple feels safe until one is informed it was grown in a toxic waste dump.…
Descriptors: Language Processing, Research Tools, Qualitative Research, Language Research
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Yeager, Joseph; Sommer, Linda – Qualitative Report, 2007
Selecting a statistical framework for a behavioral study has profoundly different results than does a linguistically framed research strategy. The linguistic strategy overcomes many limitations inherent in statistical strategies and offers more meaningful results. Inferential statistical studies often discuss how the findings "explain" the results…
Descriptors: Statistical Studies, Language Processing, Research Tools, Qualitative Research
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Teddlie, Charles; Yu, Fen – Journal of Mixed Methods Research, 2007
This article presents a discussion of mixed methods (MM) sampling techniques. MM sampling involves combining well-established qualitative and quantitative techniques in creative ways to answer research questions posed by MM research designs. Several issues germane to MM sampling are presented including the differences between probability and…
Descriptors: Sampling, Probability, Research Methodology, Research Design
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Collins, Kathleen M. T.; Onwuegbuzie, Anthony J.; Jiao, Qun G. – Journal of Mixed Methods Research, 2007
A sequential design utilizing identical samples was used to classify mixed methods studies via a two-dimensional model, wherein sampling designs were grouped according to the time orientation of each study's components and the relationship of the qualitative and quantitative samples. A quantitative analysis of 121 studies representing nine fields…
Descriptors: Sampling, Sample Size, Generalization, Qualitative Research
Center for Higher Education Policy Analysis, University of Southern California, 2007
The goal of college preparation programs is to help students, particularly underrepresented students of color, to enroll and succeed in college. While many programs focus on strengthening students' math and reading skills, familiarizing them with college entrance exams, and demystifying the college admissions process, there are few guidelines for…
Descriptors: Program Evaluation, College Preparation, Policy Analysis, Program Effectiveness
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Christ, Thomas W. – Journal of Mixed Methods Research, 2007
Mixed methods research has increased in popularity over the past 20 years. Literature reveals that exploratory qualitative analysis followed by confirmatory survey research is common and concurrent studies outnumber longitudinal design. Longitudinal studies using quantitative and qualitative methods in sequence for exploratory purposes are rare,…
Descriptors: Longitudinal Studies, Postsecondary Education, Student Personnel Services, Disabilities
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