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Peer reviewedCohen, Arie – Psychology in the Schools, 1973
The intercorrelation matrix of the ITPA subtests drawn from a population of disadvantaged children as presented by Cicirelli, et al. was analyzed by the Guttman-Lingoes SSA-I Program. The results supported two dimensions in the theoretical model suggested by the ITPA developers, the communication channel and the process level. (Author)
Descriptors: Evaluation, Literature Reviews, Psycholinguistics, Psychological Testing
Peer reviewedKiefer, J. – Mathematical Spectrum, 1970
Descriptors: Decision Making, Hypothesis Testing, Mathematics, Probability
Peer reviewedD'Agostino, Ralph B.; Rosman, Bernard – Psychometrika, 1971
Descriptors: Hypothesis Testing, Research Methodology, Statistical Analysis, Statistical Significance
Thomas, Ewart A. C.; Legge, David – Psychol Rev, 1970
Descriptors: Decision Making, Hypothesis Testing, Probability, Recognition
Peer reviewedBorg, Ingiver; Lingoes, James C. – Psychometrika, 1980
A method for externally constraining certain distances in multidimensional scaling configurations is introduced and illustrated. The method is described in detail and several examples are presented. (Author/JKS)
Descriptors: Algorithms, Hypothesis Testing, Mathematical Models, Multidimensional Scaling
Peer reviewedViana, Marlos A. G. – Journal of Educational Statistics, 1980
Statistical techniques for summarizing results from independent correlational studies are presented. The case in which only the sample correlation coefficients are available and the case in which the original paired data are available are both considered. (Author/JKS)
Descriptors: Correlation, Data Analysis, Hypothesis Testing, Research Methodology
Peer reviewedMiley, Alan D. – Educational and Psychological Measurement, 1980
The tendency to extreme scores (TES) can affect sensitive indices, such as Cattell's coefficient of pattern similarity, so that a flat profile will, in general, be found more similar to a standard than will an extreme profile. TES is especially critical when profile matching is used in clinical diagnosis. (Author/BW)
Descriptors: Clinical Diagnosis, Profiles, Statistical Analysis, Test Interpretation
Peer reviewedKaiser, Henry F. – Educational and Psychological Measurement, 1980
The use of Bayes' estimates for proportions in the Law of Comparative Judgment is suggested to avoid sample proportions of zero and one. (Author)
Descriptors: Bayesian Statistics, Comparative Analysis, Reliability, Statistical Analysis
Walker, David A. – NASPA Journal, 2004
Using correct statistical concepts is an important component when conducting quantitative research. Ideas such as power, effect size, and confidence intervals need to be addressed appropriately every time a research study is initiated. The intent of this review of the literature is to reacquaint faculty, practitioners, and graduate students with…
Descriptors: Statistical Analysis, Intervals, Graduate Students, Sample Size
Ratnesar, Nimal; Mackenzie, Jim – Journal of Philosophy of Education, 2006
Conventional discussion of research methodology contrast two approaches, the quantitative and the qualitative, presented as collectively exhaustive. But if qualitative is taken as the understanding of lifeworlds, the two approaches between them cover only a tiny fraction of research methodologies; and the quantitative, taken as the routine…
Descriptors: Research Methodology, Qualitative Research, Statistical Analysis, Experiments
Schochet, Peter Z. – Mathematica Policy Research, Inc., 2008
Studies that examine the impacts of education interventions on key student, teacher, and school outcomes typically collect data on large samples and on many outcomes. In analyzing these data, researchers typically conduct multiple hypothesis tests to address key impact evaluation questions. Tests are conducted to assess intervention effects for…
Descriptors: Hypothesis Testing, Guidelines, Outcomes of Education, Evaluation Methods
Nichols, Shirley J. – ProQuest LLC, 2009
The purpose of this quantitative correlational research study was to investigate, describe, and measure factors influencing retention of nontraditional first and second year students at a university located in the Midwestern United States. Retention of adult students has become a major issue for many institutions of higher education and many…
Descriptors: Structural Equation Models, Intention, Statistical Analysis, School Holding Power
Camilli, Gregory – Education and the Public Interest Center, 2009
According to a new study of Milwaukee public schools, student achievement has benefited from voucher-based school competition. A novel method, using geocoding, was proposed for measuring the degree of competition within the city of Milwaukee and, in turn, for determining whether such competition has increased or decreased the achievement of public…
Descriptors: Public Schools, School Choice, Academic Achievement, Competition
Simsek, Ali; Ozdamar, Nilgun; Uysal, Omer; Kobak, Kadriye; Berk, Cem; Kilicer, Tugba; Cigdem, Harun – Educational Sciences: Theory and Practice, 2009
This study examined 259 master's theses in the field of educational technology completed in Turkey during 2000-2007. The results suggested that quantity and quality of educational technology research varied according to years and universities. A great majority of the theses employed quantitative paradigm, and qualitative studies made about one…
Descriptors: Distance Education, Masters Theses, Educational Practices, Information Technology
Anseel, Frederik; Lievens, Filip – Journal of Career Development, 2007
This study examines how feedback interest after career assessment can be influenced by changing individuals' beliefs about the importance and modifiability of the various performance dimensions. In an experiment, 82 master students completed a computerized assessment tool developed for assessing managerial potential. Results showed that…
Descriptors: Feedback (Response), Interrater Reliability, Counselors, Career Counseling

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