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Jopke, Nikolaus; Gerrits, Lasse – International Journal of Social Research Methodology, 2019
There is a need to improve the ways in which Qualitative Comparative Analysis (QCA) handles qualitative data. To this end, we propose to include ideas and routines from Grounded Theory (GT) in QCA. We will first argue that there is a natural fit between the two on the ontological level. On the methodological level, we will demonstrate in what ways…
Descriptors: Qualitative Research, Comparative Analysis, Grounded Theory, Sampling
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Bradshaw, Laine; Levy, Roy – Educational Measurement: Issues and Practice, 2019
Although much research has been conducted on the psychometric properties of cognitive diagnostic models, they are only recently being used in operational settings to provide results to examinees and other stakeholders. Using this newer class of models in practice comes with a fresh challenge for diagnostic assessment developers: effectively…
Descriptors: Data Interpretation, Probability, Classification, Diagnostic Tests
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Yates, Philip A. – Journal of Statistics Education, 2019
When exposed to principal components analysis for the first time, students can sometimes miss the primary purpose of the analysis. Often the focus is solely on data reduction and what to do after the dimensions of the data have been reduced is ignored. The datasets discussed here can be used as an in-class example, a homework assignment, or a…
Descriptors: Factor Analysis, Mathematics Education, Regression (Statistics), Classification
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Elangovan, A. R.; Pinder, Craig C.; McLean, Murdith – Journal of Vocational Behavior, 2010
Current literature on careers, social identity and meaning in work tends to understate the multiplicity, historical significance, and nuances of the concept of calling(s). In this article, we trace the evolution of the concept from its religious roots into secular realms and develop a typology of interpretations using occupation and religious…
Descriptors: Career Development, Futures (of Society), Job Skills, Careers
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Boaduo, Nana Adu-Pipim – Educational Research and Reviews, 2011
Two basic data sources required for research studies have been secondary and primary. Secondary data collection helps the researcher to provide relevant background to the study and are, in most cases, available for retrieval from recorded sources. Primary data collection requires the researcher to venture into the field where the study is to take…
Descriptors: Research Problems, Writing Research, Research Methodology, Data Collection
Hills, Christina, Ed. – APPA: Association of Higher Education Facilities Officers (NJ1), 2010
This paper features another expanded Web-based Facilities Performance Indicators Report (FPI). The purpose of APPA's Facilities Performance Indicators is to provide a representative set of statistics about facilities in educational institutions. The 2008-09 iteration of the Web-based Facilities Performance Indicators Survey was posted and…
Descriptors: Colleges, School Maintenance, Facility Guidelines, Educational Facilities
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
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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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Anfara, Vincent A., Jr.; Brown, Kathleen M.; Mangione, Terri L. – Educational Researcher, 2002
Notes the need for researcher accountability in qualitative analysis, examining strategies used in working with doctoral students and offering suggestions for assessing and publicly disclosing the methodological rigor and analytical defensibility of qualitative research. Introduces tabular strategies for use in documenting the relationship between…
Descriptors: Accountability, Classification, Data Interpretation, Doctoral Degrees
Mathematica Policy Research, Washington, DC. – 1979
The purpose of this planning study about crafts in the United States is to provide preliminary data and information prior to a national crafts' survey by the National Endowment of the Arts. This study reports on: (1) the preparation of a systematic classification of U.S. crafts; (2) attempts to group and classify crafts people and their…
Descriptors: Classification, Craft Workers, Data Collection, Data Interpretation
Bank, Adrianne; Williams, Richard C. – 1985
This document is divided into two parts: the first presents a taxonomy of questions designed for a hypothetical computer database; the second describes the rationale for a question oriented approach to data. This taxonomy is described as a list of questions an educator might use to find out more about the achievement, attendance, and…
Descriptors: Academic Achievement, Attendance Records, Classification, Computer Oriented Programs