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van de Grift, Wim – School Effectiveness and School Improvement, 2009
Instability in the school population between school entrance and school leaving is not "just a problem of missing data" but often the visible result of the educational problems in some schools and is, therefore, not merely to be treated as missing data but as indicator for the quality of educational processes. Even the most superior…
Descriptors: Student Characteristics, Student Attrition, Enrollment Rate, Graduation Rate
Harms, Kristyn; King, James; Francis, Charles – Journal of Natural Resources and Life Sciences Education, 2009
This study evaluated and described student perceptions of a course in agroecology to determine if participants experienced changed perceptions and behaviors resulting from the Agroecosystems Analysis course. A triangulation validating quantitative data mixed methods approach included a written survey comprised of both quantitative and open-ended…
Descriptors: Grounded Theory, Control Groups, Student Attitudes, Self Efficacy
Judge, George; Schechter, Laura – Journal of Human Resources, 2009
Good quality data is paramount for applied economic research. If the data are distorted, corresponding conclusions may be incorrect. We demonstrate how Benford's law, the distribution that first digits of numbers in certain data sets should follow, can be used to test for data abnormalities. We conduct an analysis of nine commonly used data sets…
Descriptors: Economic Research, Statistical Surveys, Statistical Studies, Statistical Data
Conflicting Findings in Mixed Methods Research: An Illustration from an Israeli Study on Immigration
Slonim-Nevo, Vered; Nevo, Isaac – Journal of Mixed Methods Research, 2009
Combining diverse methods in a single study raises a problem: What should be done when the findings of one method of investigation conflict with those of another? The authors illustrate this problem using an example in which three study phases--quantitative, qualitative, and intervention--are applied. The findings from the quantitative phase did…
Descriptors: Methods Research, Immigration, Statistical Analysis, Qualitative Research
Marti, C. Nathan – Community College Journal of Research and Practice, 2009
The Community College Student Report (CCSR) is a widely-used survey instrument. This article examines the reliability and validity of the instrument to assess its usefulness in institutional research and practice. Confirmatory factor analyses demonstrate that factor analytic models adequately represent underlying constructs. Confirmatory factor…
Descriptors: Institutional Research, Community Colleges, Factor Analysis, Learner Engagement
New York State Education Department, 2014
This technical report provides an overview of the New York State Alternate Assessment (NYSAA), including a description of the purpose of the NYSAA, the processes utilized to develop and implement the NYSAA program, and Stakeholder involvement in those processes. The purpose of this report is to document the technical aspects of the 2013-14 NYSAA.…
Descriptors: Alternative Assessment, Educational Assessment, State Departments of Education, Student Evaluation
Carney, Megan Strawsine – ProQuest LLC, 2012
This paper describes the confirmatory factor analysis, validity, and reliability data collection stage of the development of a scale to measure mainstream teachers' self-efficacy beliefs for teaching ELL (English Language Learner) students. Data were collected from 708 K through 12 teachers and pre-service teachers with varying degrees of…
Descriptors: English Language Learners, English Instruction, Rating Scales, Test Reliability
Westen, Drew; Weinberger, Joel – American Psychologist, 2005
This paper presents replies to comments published by M. S. Schulz and R. J. Waldinger, J. M. Wood and M. T. Nezworski, and H. N. Garb and W. M. Grove on the original article by D. Westen and J. Weinberger. Schulz and Waldinger (2005) make the important point that just as researchers can capitalize on the knowledge of experienced clinical observers…
Descriptors: Clinical Psychology, Psychometrics, Clinical Experience, Evaluation Research
Peer reviewedHofmann, Richard J. – Educational and Psychological Measurement, 1975
Descriptors: Computer Programs, Item Analysis, Probability
Osburn, H. G. – Educ Psychol Meas, 1969
Descriptors: Item Analysis, Measurement, Test Construction
Peer reviewedLewis, Robert A. – Educational and Psychological Measurement, 1976
Describes an improved version of the Menne program, ITEMA, which combines several analysis procedures with option capabilities. (RC)
Descriptors: Computer Programs, Item Analysis, Scoring
Connaughton, I. M.; Skurnik, L. S. – Brit J. Educ Psychol, 1969
Descriptors: Computer Programs, Item Analysis, Methods
Rea, Robert E.; Reys, Robert E. – J Educ Meas, 1970
Descriptors: Item Analysis, Mathematics, Measurement Instruments
Matteson, Michael T.; Osburn, Hobart G. – Educ Psychol Meas, 1970
Descriptors: Biographies, Computer Programs, Item Analysis
Abedi, Jamal; Leon, Seth; Kao, Jenny C. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2008
This study examines the incorrect response choices, or distractors, by students with disabilities in standardized reading assessments. Differential distractor functioning (DDF) analysis differs from differential item functioning (DIF) analysis, which treats all answers alike and examines all wrong answers against the correct answer. DDF analysis…
Descriptors: Test Bias, Disabilities, Grade 9, Grade 3

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