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Onwuegbuzie, Anthony J.; Dickinson, Wendy B. – Qualitative Report, 2008
In this paper, we introduce various graphical methods that can be used to represent data in mixed research. First, we present a broad taxonomy of visual representation. Next, we use this taxonomy to provide an overview of visual techniques for quantitative data display and qualitative data display. Then, we propose what we call "crossover" visual…
Descriptors: Classification, Visual Aids, Data, Graphic Arts
Kahn, Peter; Wareham, Terry; Young, Richard; Willis, Ian; Pilkington, Ruth – International Journal of Research & Method in Education, 2008
The application of educational research to practice remains an issue of concern, and yet there has been relatively little consideration of this in relation to reviews of research. While the professional user review hitherto represents the most relevant approach, this involves users applying the findings of an earlier review rather than carrying…
Descriptors: Educational Research, Literature Reviews, Evaluation Methods, Methods Research
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Williams, Ross – Australian Universities' Review, 2008
University rankings are having a profound effect on both higher education systems and individual universities. In this paper we outline these effects, discuss the desirable characteristics of a good ranking methodology and document existing practice, with an emphasis on the two main international rankings (Shanghai Jiao Tong and THES-QS). We take…
Descriptors: Research Methodology, Evaluation Criteria, Classification, Comparative Analysis
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Stockard, Jean; Gray, Jo Anna; O'Brien, Robert; Stone, Joe – Social Forces, 2009
In this article, the authors clarify and provide additional tests of the key elements of their age-period-cohort analysis of non-marital birth rates in this March 2009 issue of "Social Forces." Where Steve Martin, in his commentary, has suggested specific alternative specifications or interpretations of their findings, the authors have…
Descriptors: Cohort Analysis, Birth Rate, Reader Response, Racial Differences
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Wilkins, C. – Regional Educational Laboratory Southwest (NJ1), 2008
REL Southwest received a request to review the report "Avoidable Losses: High Stakes Accountability and the Dropout Crisis" to assess the soundness of the study methodology and the appropriateness of the conclusions drawn in the report. The review found that conclusions drawn in this study cannot be generalized and are significantly…
Descriptors: Federal Legislation, Academic Achievement, Ethnography, Statistical Analysis
Koedel, Cory – National Center on Performance Incentives, 2009
This paper examines whether educational production in secondary school involves joint production among teachers across subjects. In doing so, it also provides insights into the reliability of value-added modeling. Teacher value-added to reading test scores is estimated for four different teacher types: English, math, science, and social studies.…
Descriptors: Statistical Bias, Test Bias, Research Methodology, Educational Quality
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Strasser, Nora – Journal of College Teaching & Learning, 2007
Avoiding statistical mistakes is important for educators at all levels. Basic concepts will help you to avoid making mistakes using statistics and to look at data with a critical eye. Statistical data is used at educational institutions for many purposes. It can be used to support budget requests, changes in educational philosophy, changes to…
Descriptors: Statistics, Statistical Data, Validity, Data Interpretation
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Conley, Matthew D.; Colabucci, Lesley – Mid-Western Educational Researcher, 2009
In this paper, two beginning qualitative researchers describe the challenges and successes of conducting a collaborative self-study. For two academic years, the authors wrote and analyzed personal narratives related to their experiences as a lesbian and a gay man, respectively, in educational contexts. This article addresses the data analysis…
Descriptors: Qualitative Research, Figurative Language, Personal Narratives, Researchers
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Thompson, Isabelle – Journal of Technical Writing and Communication, 1999
Discusses a theoretical framework for situating interpretations of textual data collected during research. Describes the framework as consisting of a continuum representing the range of interpretative assumptions (stances) researchers can bring to their reading of textual data. Presents the boundaries of the continuum to be the two most extreme…
Descriptors: Data Interpretation, Research Methodology, Writing Research
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
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Kavale, Kenneth A.; LeFever, Gretchen B. – Journal of Educational Research, 2007
The authors critiqued the M. K. Lovelace (2005) meta-analysis of the Dunn and Dunn Model of Learning-Style Preferences (DDMLSP). The conclusion that Lovelace reported in her meta-analysis that learning-style instruction is a beneficial form of instructional delivery is unjustified because of critical conceptual and practical problems. Those…
Descriptors: Cognitive Style, Doctoral Dissertations, Meta Analysis, Teaching Methods
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Thornton, Thomas L.; Gilden, David L. – Psychological Review, 2007
A long-standing issue in the study of how people acquire visual information centers around the scheduling and deployment of attentional resources: Is the process serial, or is it parallel? A substantial empirical effort has been dedicated to resolving this issue. However, the results remain largely inconclusive because the methodologies that have…
Descriptors: Data Interpretation, Monte Carlo Methods, Cognitive Processes, Research Methodology
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Vacha-Haase, Tammi; Thompson, Bruce – Journal of Counseling Psychology, 2004
The present article presents a tutorial on how to estimate and interpret various effect sizes. The 5th edition of the Publication Manual of the American Psychological Association (2001) described the failure to report effect sizes as a "defect" (p. 5), and 23 journals have published author guidelines requiring effect size reporting. Although…
Descriptors: Effect Size, Research Methodology, Computation, Data Interpretation
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Leech, Nancy L.; Onwuegbuzie, Anthony J. – School Psychology Quarterly, 2008
Qualitative researchers in school psychology have a multitude of analyses available for data. The purpose of this article is to present several of the most common methods for analyzing qualitative data. Specifically, the authors describe the following 18 qualitative analysis techniques: method of constant comparison analysis, keywords-in-context,…
Descriptors: Qualitative Research, Research Methodology, School Psychology, Data Analysis
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Kano, Megumi; Franke, Todd; Afifi, Abdelmonem A.; Bourque, Linda B. – Educational Researcher, 2008
To ensure accurate interpretation of research findings, researchers should report details about their research design, data collection method, and response rates when presenting findings from survey research. A review of 100 peer-reviewed articles reporting the results of survey research on K-12 schools with principals as the designated…
Descriptors: Research Methodology, School Surveys, Mail Surveys, Case Studies
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