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Padgett, Ryan D.; Salisbury, Mark H.; An, Brian P.; Pascarella, Ernest T. – New Directions for Institutional Research, 2010
The sophisticated analytical techniques available to institutional researchers give them an array of procedures to estimate a causal effect using observational data. But as many quantitative researchers have discovered, access to a wider selection of statistical tools does not necessarily ensure construction of a better analytical model. Moreover,…
Descriptors: Institutional Research, Researchers, Statistical Analysis, Models
Mann, Michael J.; Kristjansson, Alfgeir L.; Sigfusdottir, Inga Dora; Smith, Megan L. – RMLE Online: Research in Middle Level Education, 2014
Early adolescence represents a particularly vulnerable period of development during which young people are susceptible to establishing lifelong behavior patterns associated with poor life, health, and educational outcomes. Previous research demonstrates older adolescents and young adults often experience negative life events (NLEs) prior to…
Descriptors: Early Adolescents, Middle School Students, High School Students, College Students
Roberts, Patricia M.; Meltzer, Ann; Wilding, Joanne – Journal of Communication Disorders, 2009
Data on disfluencies in the speech of non-stuttering adults are relevant to several aspects of the assessment and treatment of adults who stutter. Currently, very few sources provide relevant data. In the existing literature on normally fluent speakers, there is no consistency in sample length or topic or in which types of disfluency are counted.…
Descriptors: Speech, Stuttering, Communication Disorders, Males
Rowland, Gordon – Educational Technology, 2008
The great need for educational innovation goes beyond what educational research alone can provide. Educational design offers much potential, particularly in combination with research--as design research (research "on," "into," or "about" design), design-based research (research "through" design), research-enhanced design (research to "inform"…
Descriptors: Educational Research, Educational Innovation, Inquiry, Design
Dekle, Dawn J.; Leung, Denis H. Y.; Zhu, Min – Psychological Methods, 2008
Across many areas of psychology, concordance is commonly used to measure the (intragroup) agreement in ranking a number of items by a group of judges. Sometimes, however, the judges come from multiple groups, and in those situations, the interest is to measure the concordance between groups, under the assumption that there is some within-group…
Descriptors: Item Response Theory, Statistical Analysis, Psychological Studies, Evaluators
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
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
Holland, Sally – Children & Society, 2009
This article reviews 44 refereed journal articles published between 2003 and 2008. All of the articles attempt to directly uncover the experiences or perspectives of young people cared for by the state in foster, residential or kinship care homes. The review reveals that this field is developing a rich body of evidence derived from a broad range…
Descriptors: Foster Care, Residential Care, Children, Childhood Attitudes
Briggs, Derek C. – Applied Measurement in Education, 2008
This article illustrates the use of an explanatory item response modeling (EIRM) approach in the context of measuring group differences in science achievement. The distinction between item response models and EIRMs, recently elaborated by De Boeck and Wilson (2004), is presented within the statistical framework of generalized linear mixed models.…
Descriptors: Science Achievement, Science Tests, Measurement, Error of Measurement
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
Porter, Andrew C.; Smithson, John; Blank, Rolf; Zeidner, Timothy – Applied Measurement in Education, 2007
With the exception of the procedures developed by Porter and colleagues (Porter, 2002), other methods of defining and measuring alignment are essentially limited to alignment between tests and standards. Porter's procedures have been generalized to investigating the alignment between content standards, tests, textbooks, and even classroom…
Descriptors: Teaching Methods, Computer Uses in Education, Instructional Innovation, Guidance Programs

Kulik, James A. – 1984
Several developments in the use of the new method of meta-analysis give cause for optimism. First, different meta-analysts are doing work in the same areas, leading to increased confidence in meta-analytic results. Second, meta-analysts are beginning to include raw data in their reports, which helps readers pinpoint the exact studies that lead to…
Descriptors: Comparative Analysis, Meta Analysis, Research, Research Methodology

Bonetti, S. M. – Higher Education Review, 1992
Two pitfalls are identified in the use of arithmetic averages for performance measurement in higher education. First, asymmetric average targeting rules involve a fallacy of composition; and, second, comparisons with adjusted averages involve a serious methodological error. (DB)
Descriptors: College Outcomes Assessment, Comparative Analysis, Higher Education, Measurement Techniques

Calder, James E.; And Others – Teacher Education and Special Education, 1990
This study investigated trends in the number and types of research articles published in selected special education journals in 1968, 1977, and 1986. Approximately half of the articles were not data based. Qualitative research accounted for about 6 percent of the research. Relatively stable rates of quantitative and qualitative research were found…
Descriptors: Comparative Analysis, Disabilities, Qualitative Research, Research Reports
Daniel, Larry G. – 1990
Both common factor analysis and components analysis are useful techniques for reducing the number of variables in a data set or for identifying underlying covariance structures that exist among a set of variables. Although researchers have for some years debated the appropriateness of selecting one of these methods over the other, components…
Descriptors: Comparative Analysis, Elementary Secondary Education, Factor Analysis, Literature Reviews