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Helms, Janet E.; Henze, Kevin T.; Sass, Terry L.; Mifsud, Venus A. – Counseling Psychologist, 2006
Scientific associations and measurement experts in psychology and education have voiced various standards and best-practice recommendations concerning reliability data over the years. Yet in the counseling psychology literature, there is virtually no single-source compilation and articulation of good practices for reporting, analyzing, and…
Descriptors: Reliability, Counseling Psychology, Psychometrics, Data Analysis
Hayes, Andrew F. – Human Communication Research, 2006
Multilevel modeling (MLM) is growing in use throughout the social sciences. Although daunting from a mathematical perspective, MLM is relatively easy to employ once some basic concepts are understood. In this article, I present a primer on MLM, describing some of these principles and applying them to the analysis of a multilevel data set on…
Descriptors: Models, Social Sciences, Data Analysis, Physician Patient Relationship
Heritage, Margaret; Chen, Evan – Phi Delta Kappan, 2005
Without using data to inform their actions at every step of the way, teachers and administrators will probably not reach their goals for school improvement. In this article, the authors describe a CRESST initiative that helps educators develop the skills to collect, analyze, and be guided by data. Five steps to effective date use are described in…
Descriptors: Academic Achievement, Educational Improvement, Data Collection, Data Analysis
Baker, Elise; Bernhardt, Barbara – Child Language Teaching and Therapy, 2004
A major goal of phonological intervention is to help bring a child's speech development to within normal range for his or her developmental stage. Reaching that goal may take longer than anticipated for some children. This paper illustrates an in-depth retrospective evaluation of assessment data from one child with a phonological impairment, who…
Descriptors: Intervention, Developmental Stages, Data Analysis, Phonology
Bott, Lewis; Heit, Evan – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2004
This article reports the results of an experiment addressing extrapolation in function learning, in particular the issue of whether participants can extrapolate in a nonmonotonic manner. Existing models of function learning, including the extrapolation association model of function learning (EXAM; E. L. DeLosh, J. R. Busemeyer, & M. A. McDaniel,…
Descriptors: Computation, Psychological Studies, Data Analysis, Learning Processes
Sun, Ron; Slusarz, Paul; Terry, Chris – Psychological Review, 2005
This article explicates the interaction between implicit and explicit processes in skill learning, in contrast to the tendency of researchers to study each type in isolation. It highlights various effects of the interaction on learning (including synergy effects). The authors argue for an integrated model of skill learning that takes into account…
Descriptors: Interaction, Skill Development, Research Methodology, Learning Processes
Woods, Carol M.; Thissen, David – Psychometrika, 2006
The purpose of this paper is to introduce a new method for fitting item response theory models with the latent population distribution estimated from the data using splines. A spline-based density estimation system provides a flexible alternative to existing procedures that use a normal distribution, or a different functional form, for the…
Descriptors: Simulation, Population Distribution, Item Response Theory, Computation
Fu, Wai-Tat; Gray, Wayne D. – Cognitive Science, 2004
This paper brings the intellectual tools of cognitive science to bear on resolving the ''paradox of the active user'' ["Interfacing Thought: Cognitive Aspects of Human--Computer Interaction," Cambridge, MIT Press, MA, USA]--the persistent use of inefficient procedures in interactive tasks by experienced or even expert users when demonstrably more…
Descriptors: Cognitive Processes, Computers, Users (Information), Interaction
Shkedi, Asher; Harel, Miri – Evaluation and Research in Education, 2004
This paper explains the principles and procedures of second-order theoretical analysis of observation data. The second-order theoretical procedure is illustrated by analysis of the student-teachers seminar on the subject of the Holocaust, focusing on dilemmas of Holocaust survivors. Analysing observational data allows two distinctive method of…
Descriptors: Observation, Data Analysis, Theories, Evaluation Methods
Leenen, Iwin; Van Mechelen, Iven – Psychometrika, 2004
This paper proposes a multidimensional generalization of Coombs' (1964) parallelogram model for "pick any/'n'" data, which result from each of a number of subjects having selected a number of objects (s)he likes most from a prespecified set of "n" objects. In the model, persons and objects are represented in a low dimensional space defined by a…
Descriptors: Intervals, Simulation, Mathematical Models, Data Analysis
Peugh, James L.; Enders, Craig K. – Review of Educational Research, 2004
Missing data analyses have received considerable recent attention in the methodological literature, and two "modern" methods, multiple imputation and maximum likelihood estimation, are recommended. The goals of this article are to (a) provide an overview of missing-data theory, maximum likelihood estimation, and multiple imputation; (b) conduct a…
Descriptors: Educational Research, Research Methodology, Data Analysis, Maximum Likelihood Statistics
Schmittmann, Verena D.; Dolan, Conor V.; van der Maas, Han L. J.; Neale, Michael C. – Multivariate Behavioral Research, 2005
Van de Pol and Langeheine (1990) presented a general framework for Markov modeling of repeatedly measured discrete data. We discuss analogical single indicator models for normally distributed responses. In contrast to discrete models, which have been studied extensively, analogical continuous response models have hardly been considered. These…
Descriptors: Markov Processes, Models, Responses, Modeling (Psychology)
Bolte, Sven; Poustka, Fritz – Intelligence, 2004
It is yet unknown whether individuals with and without savant abilities being affected by the same mental disorder display differences with regard to their intelligence profile. To examine this issue, we compared the test performance of 33 savant and 26 nonsavant autistic subjects using the Wechsler Intelligence Scales-Revised for children or…
Descriptors: Memory, Data Analysis, Mental Disorders, Intelligence
Davison, Kevin G. – International Journal of Qualitative Studies in Education (QSE), 2006
This article suggests utilizing dialectical imagery, as understood by German social philosopher Walter Benjamin, as an additional qualitative data analysis strategy for research into the postmodern condition. The use of images mined from research data may offer epistemological transformative possibilities that will assist in the demystification of…
Descriptors: Data Analysis, Qualitative Research, Research Methodology, Imagery
Barnette, J. Jackson; Wallis, Anne Baber – American Journal of Evaluation, 2005
We rely a great deal on the schematic descriptions that represent experimental and quasi-experimental design arrangements, as well as the discussions of threats to validity associated with these, provided by Campbell and his associates: Stanley, Cook, and Shadish. Some of these designs include descriptions of treatments removed, removed and then…
Descriptors: Intervention, Validity, Quasiexperimental Design, Evaluation Methods

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