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Bainter, Sierra A.; Curran, Patrick J. – Journal of Cognition and Development, 2015
Amid recent progress in cognitive development research, high-quality data resources are accumulating, and data sharing and secondary data analysis are becoming increasingly valuable tools. Integrative data analysis (IDA) is an exciting analytical framework that can enhance secondary data analysis in powerful ways. IDA pools item-level data across…
Descriptors: Data Analysis, Integrated Activities, Inferences, Statistical Analysis
Verhelst, Norman D. – Scandinavian Journal of Educational Research, 2012
When using IRT models in Educational Achievement Testing, the model is as a rule too simple to catch all the relevant dimensions in the test. It is argued that a simple model may nevertheless be useful but that it can be complemented with additional analyses. Such an analysis, called profile analysis, is proposed and applied to the reading data of…
Descriptors: Multidimensional Scaling, Profiles, Item Response Theory, Achievement Tests
Allan, Audrone; Pileicikiene, Nora – Quality of Higher Education, 2010
This article aims to reveal possibilities for teaching quality assessment when data from student survey are used. To achieve this aim, the conception of teaching in a higher education institution was reviewed and criteria of teaching quality were distinguished in the theoretical part. In the empirical part of the research, validity of teaching…
Descriptors: Student Surveys, Data Interpretation, Questionnaires, Data Analysis
Choi, Jaehwa; Peters, Michelle; Mueller, Ralph O. – Asia Pacific Education Review, 2010
Correlational analyses are one of the most popular quantitative methods, yet also one of the mostly frequently misused methods in social and behavioral research, especially when analyzing ordinal data from Likert or other rating scales. Although several correlational analysis options have been developed for ordinal data, there seems to be a lack…
Descriptors: Rating Scales, Item Response Theory, Correlation, Behavioral Science Research
OECD Publishing (NJ1), 2012
The "PISA 2009 Technical Report" describes the methodology underlying the PISA 2009 survey. It examines additional features related to the implementation of the project at a level of detail that allows researchers to understand and replicate its analyses. The reader will find a wealth of information on the test and sample design,…
Descriptors: Quality Control, Research Reports, Research Methodology, Evaluation Criteria
Bandalos, Deborah L. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
This study examined the efficacy of 4 different parceling methods for modeling categorical data with 2, 3, and 4 categories and with normal, moderately nonnormal, and severely nonnormal distributions. The parceling methods investigated were isolated parceling in which items were parceled with other items sharing the same source of variance, and…
Descriptors: Structural Equation Models, Computation, Goodness of Fit, Classification
Sturges, Diana; Maurer, Trent W.; Cole, Oladipo – Advances in Physiology Education, 2009
This study investigated the effectiveness of role play in a large undergraduate science class. The targeted population consisted of 298 students enrolled in 2 sections of an undergraduate Human Anatomy and Physiology course taught by the same instructor. The section engaged in the role-play activity served as the study group, whereas the section…
Descriptors: Control Groups, Role Playing, Academic Achievement, Pretests Posttests
Xing, Peiling; Fulcher, Glenn – System: An International Journal of Educational Technology and Applied Linguistics, 2007
This article reports a reliability study of two versions of the Vocabulary Levels Test at the 5000 word level. This study was motivated by a finding from an ongoing longitudinal study of vocabulary acquisition that Version A and Version B of Vocabulary Levels Test at the 5000 word level were not parallel. In order to investigate this issue,…
Descriptors: Test Validity, Item Analysis, Data Analysis, Longitudinal Studies
Bruinsma, M.; Jansen, E. P. W. A. – School Effectiveness and School Improvement, 2007
Several factors in the H. J. Walberg Educational Productivity Model, which assumes that 9 factors affect academic achievement, were examined with a limited sample of 1st-year students in the University of Groningen. Information concerning 8 of these factors--grades, motivation, age, prior achievement, home environment, support from peers,…
Descriptors: Academic Achievement, Program Validation, Item Analysis, Models
Holton, Elwood F., III; Bates, Reid A.; Bookter, Annette I.; Yamkovenko, V. Bogdan – Human Resource Development Quarterly, 2007
The Learning Transfer System Inventory (LTSI) was developed to identify a select set of factors with the potential to substantially enhance or inhibit transfer of learning to the work environment. It has undergone a variety of validation studies, including construct, criterion, and crosscultural studies. However, the convergent and divergent…
Descriptors: Work Environment, Transfer of Training, Test Validity, Program Validation
Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2009
In this technical report, we describe the development and piloting of a series of mathematics progress monitoring measures intended for use with students in kindergarten. These measures, available as part of easyCBM[TM], an online progress monitoring assessment system, were developed in 2008 and administered to approximately 2800 students from…
Descriptors: Kindergarten, General Education, Response to Intervention, Access to Education
Alonzo, Julie; Lai, Cheng Fei; Tindal, Gerald – Behavioral Research and Teaching, 2009
In this technical report, we describe the development and piloting of a series of mathematics progress monitoring measures intended for use with students in grades kindergarten through eighth grade. These measures, available as part of easyCBM[TM], an online progress monitoring assessment system, were developed in 2007 and 2008 and administered to…
Descriptors: Grade 4, General Education, Response to Intervention, Access to Education
Lai, Cheng Fei; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2009
In this technical report, we describe the development and piloting of a series of mathematics progress monitoring measures intended for use with students in grades kindergarten through eighth grade. These measures, available as part of easyCBM[TM], an online progress monitoring assessment system, were developed in 2007 and 2008 and administered to…
Descriptors: Grade 5, General Education, Response to Intervention, Access to Education
Alonzo, Julie; Lai, Cheng Fei; Tindal, Gerald – Behavioral Research and Teaching, 2009
In this technical report, we describe the development and piloting of a series of mathematics progress monitoring measures intended for use with students in grades kindergarten through eighth grade. These measures, available as part of easyCBM[TM], an online progress monitoring assessment system, were developed in 2007 and 2008 and administered to…
Descriptors: Grade 3, General Education, Response to Intervention, Access to Education
Lai, Cheng Fei; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2009
In this technical report, we describe the development and piloting of a series of mathematics progress monitoring measures intended for use with students in grades kindergarten through eighth grade. These measures, available as part of easyCBM[TM], an online progress monitoring assessment system, were developed in 2007 and 2008 and administered to…
Descriptors: Grade 7, General Education, Response to Intervention, Access to Education
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