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Peer reviewedLacy, Stephen R.; Riffe, Daniel – Journalism Quarterly, 1993
Explores how to achieve rigor in applying methodology to research questions regarding quantitative approaches, specifically regarding statistical analysis, measurement, and sample decisions. (SR)
Descriptors: Communication Research, Higher Education, Measurement Techniques, Research Methodology
Peer reviewedVacha-Haase, Tammi; Thompson, Bruce – Measurement and Evaluation in Counseling and Development, 1998
Responds to Biskin's comments (this issue) on the significance test controversy. Highlights areas of agreement (importance of replication evidence, importance of effect sizes) and disagreement (influence of sample size, evaluation of populations vs. samples, significance of Carver's article). Includes further recommendations for reporting research…
Descriptors: Data Interpretation, Hypothesis Testing, Psychological Studies, Sampling
Peer reviewedMcNamara, James F. – International Journal of Educational Reform, 1998
A "fact sheet" is defined as a single two-sided sheet (or one-page folded brochure) that briefly describes all major aspects of a scientific survey or poll in nontechnical terms. A fact sheet can be used to plan all phases of a survey, from clarifying purpose, to distributing results. A fact sheet may be used as a communication tool in…
Descriptors: Educational Research, Elementary Secondary Education, Research Methodology, Sampling
Peer reviewedBernhardt, Barbara Handford; Holdgrafer, Gary – Language, Speech, and Hearing Services in Schools, 2001
Discussion of supplemental speech sampling for in-depth phonological analysis in the assessment of children with phonological disorders focuses on how to evaluate a given word list in terms of a set of criteria for a detailed phonological analysis. Suggestions are provided for sample supplementation for two frequent areas of difficulty. (Contains…
Descriptors: Children, Phonology, Sampling, Speech Evaluation
Peer reviewedRaymond, Mark R. – Applied Measurement in Education, 2001
Reviews general approaches to job analysis and considers methodological issues related to sampling and the development of rating scales used to measure and describe a profession or occupation. Evaluates the usefulness of different types of test plans and describes judgmental and empirical methods for using practice analysis data to help develop…
Descriptors: Certification, Job Analysis, Licensing Examinations (Professions), Rating Scales
Peer reviewedBlankertz, Laura – American Journal of Evaluation, 1998
Describes the use of critical multiplism to evaluate the advantages and disadvantages of random sampling and deliberate sampling for heterogeneity. Suggests a model for using deliberate sampling for heterogeneity when the population parameters are unknown. Applies this model to a study of the psychosocial rehabilitation workforce. (SLD)
Descriptors: Heterogeneous Grouping, Models, Research Methodology, Sample Size
Palmer, Douglas J.; Stough, Laura M.; Burdenski, Thomas K., Jr.; Gonzales, Maricela – Educational Psychologist, 2005
This article reviews indicators used by researchers to select samples of expert teachers. Reflecting initially on the broader expertise literature and then focusing on studies of teaching expertise, the authors identify criteria used to select expert teachers that fall under one or more of the following marker categories: (a) years of experience,…
Descriptors: Researchers, Criteria, Teaching Experience, Teacher Competencies
Asparouhov, Tihomir – Structural Equation Modeling, 2005
This article reviews several basic statistical tools needed for modeling data with sampling weights that are implemented in Mplus Version 3. These tools are illustrated in simulation studies for several latent variable models including factor analysis with continuous and categorical indicators, latent class analysis, and growth models. The…
Descriptors: Probability, Structural Equation Models, Sampling, Least Squares Statistics
Huitzing, Hiddo A.; Veldkamp, Bernard P.; Verschoor, Angela J. – Journal of Educational Measurement, 2005
Several techniques exist to automatically put together a test meeting a number of specifications. In an item bank, the items are stored with their characteristics. A test is constructed by selecting a set of items that fulfills the specifications set by the test assembler. Test assembly problems are often formulated in terms of a model consisting…
Descriptors: Testing Programs, Programming, Mathematics, Item Sampling
Raiche, Gilles; Blais, Jean-Guy – Applied Psychological Measurement, 2006
Monte Carlo methodologies are frequently applied to study the sampling distribution of the estimated proficiency level in adaptive testing. These methods eliminate real situational constraints. However, these Monte Carlo methodologies are not currently supported by the available software programs, and when these programs are available, their…
Descriptors: Computer Assisted Instruction, Computer Software, Sampling, Adaptive Testing
Parker, Richard I. – Behavior Therapy, 2006
There is need for objective and reliable single-case research (SCR) results in the movement toward evidence-based interventions (EBI), for inclusion in meta-analyses, and for funding accountability in clinical contexts. Yet SCR deals with data that often do not conform to parametric data assumptions and that yield results of low reliability. A…
Descriptors: Data Analysis, Research Design, Intervention, Correlation
Pike, Gary R.; Smart, John C.; Kuh, George D.; Hayek, John C. – Research in Higher Education, 2006
The few studies focusing on the relationships between higher education expenditures and student outcomes have produced contradictory results. This study hypothesized that the lack of consistent relationships is a function of the fact that the effects of expenditures on outcomes are mediated by student engagement. Furthermore, it is expected that…
Descriptors: Expenditures, Higher Education, Outcomes of Education, Sampling
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
Dymond, Stacy K. – Remedial and Special Education, 2007
The purpose of this study was to determine whether key elements of high school service learning programs (HSSLPs) cited in the literature were viewed as important by stakeholders in HSSLPs that included students with and without disabilities. Focus groups were conducted with five inclusive HSSLPs selected through purposeful sampling procedures.…
Descriptors: Program Evaluation, Disabilities, Sampling, Inclusive Schools
Shernoff, David Jordan; Vandell, Deborah Lowe – Journal of Youth and Adolescence, 2007
Middle school students' experiences at after-school programs were compared as they participated in different types of activities and with different social partners. The students (N = 165) attended eight programs in three Midwestern states. A total of 1,596 experiences were randomly sampled using the Experience Sampling Method (ESM) during 1 week…
Descriptors: Motivation, Enrichment Activities, After School Programs, Middle School Students

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