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Heyvaert, Mieke; Hannes, Karin; Maes, Bea; Onghena, Patrick – Journal of Mixed Methods Research, 2013
In several subdomains of the social, behavioral, health, and human sciences, research questions are increasingly answered through mixed methods studies, combining qualitative and quantitative evidence and research elements. Accordingly, the importance of including those primary mixed methods research articles in systematic reviews grows. It is…
Descriptors: Mixed Methods Research, Qualitative Research, Statistical Analysis, Quality Control
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Walford, Geoffrey – International Journal of Research & Method in Education, 2012
This article re-assesses the methodological difficulties involved in researching the powerful in education. It reviews the major areas and issues that researchers focused on: problems of access, different types of interviewing, interpretation of data generated through interviews and ethical issues. It argues that in most aspects researching…
Descriptors: Educational Research, Power Structure, Social Status, Individual Power
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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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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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Ruscio, John; Ruscio, Ayelet Meron; Meron, Mati – Multivariate Behavioral Research, 2007
Meehl's taxometric method was developed to distinguish categorical and continuous constructs. However, taxometric output can be difficult to interpret because expected results for realistic data conditions and differing procedural implementations have not been derived analytically or studied through rigorous simulations. By applying bootstrap…
Descriptors: Sampling, Equated Scores, Data Interpretation, Inferences
Meany-Daboul, Maeve G.; Roscoe, Eileen M.; Bourret, Jason C.; Ahearn, William H. – Journal of Applied Behavior Analysis, 2007
In the current study, momentary time sampling (MTS) and partial-interval recording (PIR) were compared to continuous-duration recording of stereotypy and to the frequency of self-injury during a treatment analysis to determine whether the recording method affected data interpretation. Five previously conducted treatment analysis data sets were…
Descriptors: Sampling, Intervals, Research Methodology, Data Interpretation
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Leslie, David W.; Fygetakis, Elaine C. – Research in Higher Education, 1992
This paper compares the results of National Center for Education Statistics (NCES) and the Carnegie surveys of postsecondary faculty and notes the differently constructed samples, the different response rates, and different weighting schemes in analysis and interpretation. Inconsistencies in the surveys' results are identified and methodological…
Descriptors: College Faculty, Data Analysis, Data Interpretation, Higher Education
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Thomas, Scott L.; Heck, Ronald H.; Bauer, Karen W. – New Directions for Institutional Research, 2005
Institutional researchers frequently use national datasets such as those provided by the National Center for Education Statistics (NCES). The authors of this chapter explore the adjustments required when analyzing NCES data collected using complex sample designs. (Contains 8 tables.)
Descriptors: Institutional Research, National Surveys, Sampling, Data Analysis
Albanese, Mark A. – 1985
This study reexamines results reported by Angoff and Schrader regarding formula directions and rights directions for standardized tests. In that study, it was concluded that the two scoring directions were essentially equivalent. In this study, methodological concerns are discussed and additional data analyses undertaken. Among various…
Descriptors: College Entrance Examinations, Data Interpretation, Fatigue (Biology), Guessing (Tests)
Glantz, Frederic B.; Layzer, Jean – 2000
The findings of the Cost, Quality, and Child Outcomes (CQO) study in Child Care Centers, the largest and most visible child care research conducted in the 1990s, were widely publicized and used to promote increased spending on initiatives to improve child care quality, the redesign of subsidy systems to provide quality incentives, more stringent…
Descriptors: Attrition (Research Studies), Child Care, Child Care Centers, Child Care Effects