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von Eye, Alexander; Schuster, Christof; Kreppner, Kurt – Journal of Adolescent Research, 2001
Discusses the effects of sampling scheme selection on the admissibility of log-linear models for multinomial and product multinomial sampling schemes for prospective and retrospective sampling. Notes that in multinomial sampling, marginal frequencies are not fixed, whereas for product multinomial sampling, uni- or multidimensional frequencies are…
Descriptors: Measurement Techniques, Models, Research Design, Research Methodology
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Gillis, Martha M.; And Others – Psychological Assessment, 1995
Adult community norms were derived from 261 adults who completed the Social Phobia and Anxiety Inventory and 267 adults who completed the Beck Anxiety Inventory, the Fear Questionnaire, and the Penn State Worry Questionnaire. Percentile scores are provided for all measures, and their usefulness in assessing therapy outcomes is discussed. (SLD)
Descriptors: Adults, Affective Measures, Anxiety, Demography
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Riffe, Daniel; And Others – Journalism and Mass Communication Quarterly, 1996
Reports an exploration of the effectiveness of different types and sizes of samples for content analyses of television network news. Compares simple random, monthly stratified, and quarterly/weekly stratified sampling, using annual "populations" of network newscasts. Finds that the most efficient technique was two random days per month. (SR)
Descriptors: Broadcast Television, Content Analysis, Higher Education, News Media
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Lubke, Gitta H.; Muthen, Bengt – Psychological Methods, 2005
Sources of population heterogeneity may or may not be observed. If the sources of heterogeneity are observed (e.g., gender), the sample can be split into groups and the data analyzed with methods for multiple groups. If the sources of population heterogeneity are unobserved, the data can be analyzed with latent class models. Factor mixture models…
Descriptors: Youth, Evaluation Methods, Factor Analysis, Data Analysis
Asraf, Ratnawati Mohd; Brewer, James K. – Australian Educational Researcher, 2004
This article addresses the importance of obtaining a sample of an adequate size for the purpose of testing hypotheses. The logic underlying the requirement for a minimum sample size for hypothesis testing is discussed, as well as the criteria for determining it. Implications for researchers working with convenient samples of a fixed size are also…
Descriptors: Hypothesis Testing, Sample Size, Sampling, Research Methodology
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Lennox, N.; Taylor, M.; Rey-Conde, T.; Bain, C.; Purdie, D. M.; Boyle, F. – Journal of Intellectual Disability Research, 2005
The health status of people with intellectual disability (ID) is poor, yet very little research has been done on their health needs. There are several barriers to performing this research. The aim of our research was to examine the significant barriers encountered in recruiting adults with ID to participate in research. Our project was a…
Descriptors: Recruitment, Health Needs, Physical Health, Participation
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Lee, Sik-Yum; Song, Xin-Yuan – Journal of Educational and Behavioral Statistics, 2005
In this article, a maximum likelihood (ML) approach for analyzing a rather general two-level structural equation model is developed for hierarchically structured data that are very common in educational and/or behavioral research. The proposed two-level model can accommodate nonlinear causal relations among latent variables as well as effects…
Descriptors: Mathematics, Sampling, Structural Equation Models, Bayesian Statistics
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Karabatsos, George; Sheu, Ching-Fan – Applied Psychological Measurement, 2004
This study introduces an order-constrained Bayes inference framework useful for analyzing data containing dichotomous scored item responses, under the assumptions of either the monotone homogeneity model or the double monotonicity model of nonparametric item response theory (NIRT). The framework involves the implementation of Gibbs sampling to…
Descriptors: Inferences, Nonparametric Statistics, Item Response Theory, Data Analysis
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Foy, Pierre – Studies in Educational Evaluation, 2005
Data from international comparative studies in education are generally derived from complex, multi-stage sample designs and rotated assessments. Consequently, care must be taken not only in estimating variance components but also in interpreting them. Target population definitions, the nature of the sampling stages and their sampling units, and…
Descriptors: Comparative Analysis, Sampling, Educational Research, Research Design
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Lunsford, M. Leigh; Rowell, Ginger Holmes; Goodson-Espy, Tracy – Journal of Statistics Education, 2006
We applied a classroom research model to investigate student understanding of sampling distributions of sample means and the Central Limit Theorem in post-calculus introductory probability and statistics courses. Using a quantitative assessment tool developed by previous researchers and a qualitative assessment tool developed by the authors, we…
Descriptors: Classroom Research, Models, Sampling, Statistics
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Fiedler, Klaus; Kareev, Yaakov – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2006
Adaptive decision making requires that contingencies between decision options and their relative assets be assessed accurately and quickly. The present research addresses the challenging notion that contingencies may be more visible from small than from large samples of observations. An algorithmic account for such a seemingly paradoxical effect…
Descriptors: Sampling, Decision Making, Computer Simulation, Models
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Braun, Henry; Qian, Jiahe – ETS Research Report Series, 2008
This report describes the derivation and evaluation of a method for comparing the performance standards for public school students set by different states. It is based on an approach proposed by McLaughlin and associates, which constituted an innovative attempt to resolve the confusion and concern that occurs when very different proportions of…
Descriptors: State Standards, Comparative Analysis, Public Schools, National Competency Tests
Heppler, Brad – Online Submission, 2008
This is a book about quality and how to control quality through deliberate actions on the part of the professionals developing and implementing the instances of instruction available at an organization. Quality control theory favors no particular learning philosophy and is only directed towards aspects of how, what, where and when measurements are…
Descriptors: Quality Control, Program Effectiveness, Measurement, Measurement Techniques
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Petersen, Nancy S. – Applied Psychological Measurement, 2008
This article discusses the five studies included in this issue. Each article addressed the same topic, population invariance of equating. They all used data from major standardized testing programs, and they all used essentially the same statistics to evaluate their results, namely, the root mean square difference and root expected mean square…
Descriptors: Testing Programs, Standardized Tests, Equated Scores, Evaluation Methods
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Leeds, Elke M.; Raven, Arjan; Brawley, Dorothy – College Teaching Methods & Styles Journal, 2007
As more and more classes are taught on-line, new challenges for assessment of student learning have come about. In this paper on the use of digital video (DV) as an acceptable means to assess student oral business presentation skills, content analysis was used to test for the presence of primary traits inherent in effective formal business…
Descriptors: Video Technology, Nonverbal Communication, Content Analysis, Business Communication
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