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Skolnik, Michael – Community College Journal of Research and Practice, 2016
This article was written in response to concerns that have been expressed about the possible consequences of an increasing number of countries overtaking the United States in educational attainment. International statistics on educational attainment were analyzed, questions about comparability of data were discussed, and the impact of different…
Descriptors: Community Colleges, Institutional Characteristics, Reputation, Educational Attainment
Petocz, Peter; Sowey, Eric – Teaching Statistics: An International Journal for Teachers, 2012
The term "data snooping" refers to the practice of choosing which statistical analyses to apply to a set of data after having first looked at those data. Data snooping contradicts a fundamental precept of applied statistics, that the scheme of analysis is to be planned in advance. In this column, the authors shall elucidate the…
Descriptors: Hypothesis Testing, Statistical Analysis, Foreign Countries, Questioning Techniques
Saris, Willem E.; Satorra, Albert; van der Veld, William M. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Assessing the correctness of a structural equation model is essential to avoid drawing incorrect conclusions from empirical research. In the past, the chi-square test was recommended for assessing the correctness of the model but this test has been criticized because of its sensitivity to sample size. As a reaction, an abundance of fit indexes…
Descriptors: Structural Equation Models, Validity, Goodness of Fit, Evaluation Methods
Cheung, Mike W. -L. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Confidence intervals (CIs) for parameters are usually constructed based on the estimated standard errors. These are known as Wald CIs. This article argues that likelihood-based CIs (CIs based on likelihood ratio statistics) are often preferred to Wald CIs. It shows how the likelihood-based CIs and the Wald CIs for many statistics and psychometric…
Descriptors: Intervals, Structural Equation Models, Simulation, Correlation
van Rijn, P. W.; Beguin, A. A.; Verstralen, H. H. F. M. – Assessment in Education: Principles, Policy & Practice, 2012
While measurement precision is relatively easy to establish for single tests and assessments, it is much more difficult to determine for decision making with multiple tests on different subjects. This latter is the situation in the system of final examinations for secondary education in the Netherlands and is used as an example in this paper. This…
Descriptors: Secondary Education, Tests, Foreign Countries, Decision Making
Noah, Harold J.; Sherman, Joel D. – 1979
This comparative study of primary school finance is based on ten studies of the arrangements for financing primary education in Australia, Canada, the Federal Republic of Germany, Italy, the Netherlands, Norway, Sweden, the United Kingdom, the United States, and Yugoslavia. Chapter 1 describes the variety of approaches that individual countries…
Descriptors: Case Studies, Comparative Analysis, Educational Objectives, Elementary Education
Otten, Chris M. E. – 1991
This paper describes a quantitative method to investigate the enrollment motives of students, and reports on the application of the method at the University of Utrecht (The Netherlands). The paper discusses environmental, educational/organizational, and image factors influencing a student's choice of a particular university. A quantitative…
Descriptors: College Choice, Decision Making, Enrollment, Foreign Countries
Bosker, Roel; And Others – 1996
This article explores the following questions: first, "Do colleges of higher vocational education vary in the mean success of their graduates on the labor market?" and, second, "Are the differences between these colleges stable over time?". The analysis drew upon school effectiveness, quality assurance and labor market…
Descriptors: Accountability, College Outcomes Assessment, College Students, Data Collection
Peer reviewedPearson, Richard – Educational Studies, 1983
Short-term forecasting methods for assessing the number of students finishing schooling in France, Germany, Ireland, the Netherlands, and the United Kingdom are reviewed. Types of data that are available for each country are discussed, as well as suggestions for data that need to be collected for more efficient forecasting. (Author/IS)
Descriptors: Comparative Education, Dropouts, Educational Needs, Educational Policy

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