NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 151 to 165 of 167 results Save | Export
Peer reviewed Peer reviewed
Shannon, David M.; And Others – Journal of Educational Research, 1993
Preliminary evidence supports the construct validity of two versions of the Simulation of Interactive Decision Making (group tests of interactive teaching competencies that simulate classroom decision making processes more realistically than traditional tests). Evidence of construct validity reflects differences among subjects with various amounts…
Descriptors: Classroom Techniques, Competence, Construct Validity, Decision Making
Center for Research on Evaluation, Standards, and Student Testing, Los Angeles, CA. – 1988
Three papers and a sample outline of Requests for Proposals (RFPs) represent the work of the Monitoring and Improving Testing and Evaluation Innovations (MITEI) Project during 1988. The skeleton of a sample RFP outline for large-scale assessment was expanded to provide a checklist of the type of information that should be included in a RFP. The…
Descriptors: Agency Role, Check Lists, Construct Validity, Educational Assessment
Peer reviewed Peer reviewed
Roche, Lawrence A.; Marsh, Herbert W. – Instructional Science, 2000
Discusses teachers' self-perceptions of their teaching effectiveness in higher education. Topics include self-concept; student evaluations of teaching effectiveness (SETs); a multidimensional university teacher self-concept instrument and an evaluation of its psychometric properties; and a multitrait-multimethod analysis of relations between…
Descriptors: Construct Validity, Higher Education, Instructional Effectiveness, Measurement Techniques
Peer reviewed Peer reviewed
Direct linkDirect link
Elgin, Catherine Z. – Theory and Research in Education, 2004
I discuss the contributions of Harvey Siegel, Francis Schrag and Randall Curren to this volume. Their articles cast in bold relief the relation of High Stakes Testing to the goals of education, the nature of mind and the demands of justice. I argue that the connections are deep, but that the considerations these authors raise do not show that High…
Descriptors: Educational Objectives, High Stakes Tests, Data Interpretation, Reader Response
Peer reviewed Peer reviewed
Direct linkDirect link
McLean, Mary – Journal of Early Intervention, 2005
Comments on an article by Macy et al. The authors supports the potential use of the Assessment, Evaluation and Programming System for Infants and Children (AEPS:E) as an instrument for determining eligibility with toddler-aged children (18 to 36 months). Much work remains to be done before the AEPS:E should be recommended for use in determining…
Descriptors: Curriculum Based Assessment, Eligibility, Early Childhood Education, Young Children
Scott, Randall L.; And Others – 1988
The psychometric integrity of a measure of ecological stress in families with children who are handicapped was investigated using bootstrap factor analytic logic and the FACSTRAP program. The instrument is known as the Questionnaire on Resources and Stress--Friedrich short form. Subjects included both parents (N=132) in each of 66 intact families.…
Descriptors: Construct Validity, Disabilities, Ecological Factors, Factor Analysis
Peer reviewed Peer reviewed
Zollman, Alan; Mason, Emanuel – School Science and Mathematics, 1992
Describes the development of the "Standards Beliefs Instrument," an instrument to measure teachers' beliefs about the NCTM "Curriculum and Evaluation Standards." Discusses implications for using the instrument for self reflection, assessment of teachers' perspectives toward the vision of the "Standards," and…
Descriptors: Attitude Measures, Beliefs, Construct Validity, Content Validity
Woodward, John; Gersten, Russell – 1992
This report describes TORUS, a computer-based program for elementary school students with learning disabilities which analyzes student work samples in addition and subtraction and provides individual profiles of student misconceptions and weaknesses. Initially, work samples from 236 middle school students with learning disabilities were analyzed…
Descriptors: Addition, Computer Managed Instruction, Computer Software, Construct Validity
Peer reviewed Peer reviewed
Direct linkDirect link
Lecavalier, Luc; Aman, Michael G.; Hammer, David; Stoica, Wendy; Mathews, Gregory L. – Journal of Autism and Developmental Disorders, 2004
The Nisonger Child Behavior Rating Form (NCBRF) is a behavior rating scale designed for children and adolescents with mental retardation. The purpose of this study was to explore the psychometric properties of the NCBRF in a sample of 330 children and adolescents with autism spectrum disorders (ASDs). Parent and teacher ratings were independently…
Descriptors: Factor Analysis, Construct Validity, Child Behavior, Children
Peer reviewed Peer reviewed
Direct linkDirect link
Clariana, Roy B.; Wallace, Patricia – Journal of Educational Computing Research, 2007
This proof-of-concept investigation describes a computer-based approach for deriving the knowledge structure of individuals and of groups from their written essays, and considers the convergent criterion-related validity of the computer-based scores relative to human rater essay scores and multiple-choice test scores. After completing a…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Construct Validity, Cognitive Structures
Lang, William Steve; Wilkerson, Judy R. – Online Submission, 2005
NCATE (2002) requires the measurement of knowledge, skills, and dispositions as part of its accreditation requirements for teacher education programs (Standard 1) and the use of unit assessment systems to aggregate and analyse data with a view toward program improvement (Standard 2). Data must indicate that candidates meet professional, state, and…
Descriptors: Program Effectiveness, Teacher Education Programs, Performance Based Assessment, Program Improvement
Peer reviewed Peer reviewed
Direct linkDirect link
Bennett, Deborah E.; Arvidson, Helen H.; Giorgetti, Karen – Assessment for Effective Intervention, 2004
This article describes the development of a computer-based assessment system for children in early childhood programs, The Indiana Assessment System of Educational Proficiencies: Early Childhood (IASEP: EC). Skills in five developmental domains (i.e., cognitive, communication, social, sensory motor, and self-help) were selected and content…
Descriptors: Computer Assisted Testing, Student Evaluation, Early Childhood Education, Young Children
Peer reviewed Peer reviewed
Direct linkDirect link
Walker, Scott L. – Journal of Geography, 2006
This paper introduced the development and validation of the Test of Geography-Related Attitudes (ToGRA). The ToGRA measures student attitude on four discrete measures student attitude on four discrete scales: 1) leisure interest in geography; 2) enjoyment of geographic education; 3) career interest in geography; and 4) interest in place. The ToGRA…
Descriptors: Test Construction, Test Validity, Attitude Measures, Student Interests
Peer reviewed Peer reviewed
Direct linkDirect link
McNamara, Tim – Language Assessment Quarterly, 2006
The thought of Samuel Messick has influenced language testing in 2 main ways: in proposing a new understanding of how inferences made based on tests must be challenged, and in drawing attention to the consequences of test use. The former has had a powerful impact on language-testing research, most notably in Bachman's work on validity and the…
Descriptors: Test Use, Testing, Language Tests, Validity
Peer reviewed Peer reviewed
Direct linkDirect link
Norris, Stephen P.; Leighton, Jacqueline P.; Phillips, Linda M. – Theory and Research in Education, 2004
Many significant changes in perspective have to take place before efforts to learn the content and capabilities of children's minds can hold much sway in educational testing. The language of testing, especially of high stakes testing, remains firmly in the realm of "behaviors", "performance" and "competency" defined…
Descriptors: High Stakes Tests, Test Construction, Test Items, Educational Testing
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  12