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Soysal, Sumeyra; Karaman, Haydar; Dogan, Nuri – Eurasian Journal of Educational Research, 2018
Purpose of the Study: Missing data are a common problem encountered while implementing measurement instruments. Yet the extent to which reliability, validity, average discrimination and difficulty of the test results are affected by the missing data has not been studied much. Since it is inevitable that missing data have an impact on the…
Descriptors: Sample Size, Data Analysis, Research Problems, Error of Measurement
Carlhed, Carina – European Educational Research Journal, 2017
The article is a critical sociological analysis of current transnational practices on creating comparable measurements of dropout and completion in higher education and the consequences for the conditions of scientific knowledge production on the topic. The analysis revolves around questions of epistemological, methodological and symbolic types…
Descriptors: Dropouts, Graduation Rate, Foreign Countries, Higher Education
Karami, Hossein – TESOL Journal, 2015
Factor analysis has been frequently exploited in applied research to provide evidence about the underlying factors in various measurement instruments. A close inspection of a large number of studies published in leading applied linguistic journals shows that there is a misconception among applied linguists as to the relative merits of exploratory…
Descriptors: Factor Analysis, Construct Validity, Applied Linguistics, Computer Software
Rhemtulla, Mijke; Jia, Fan; Wu, Wei; Little, Todd D. – International Journal of Behavioral Development, 2014
We examine the performance of planned missing (PM) designs for correlated latent growth curve models. Using simulated data from a model where latent growth curves are fitted to two constructs over five time points, we apply three kinds of planned missingness. The first is item-level planned missingness using a three-form design at each wave such…
Descriptors: Data Analysis, Error of Measurement, Models, Longitudinal Studies
Carter, Mark – Behavior Modification, 2013
Overlap-based measures are increasingly applied in the synthesis of single-subject research. This article considers two criticisms of overlap-based metrics, specifically that they do not measure magnitude of effect and do not adequately correspond with visual analysis. It is argued that these criticisms are based on fundamental misconceptions…
Descriptors: Statistical Analysis, Measurement Techniques, Effect Size, Data Interpretation
Reale, Emanuela – Higher Education: The International Journal of Higher Education and Educational Planning, 2014
Despite the value of the comparative perspective for the study of higher education is widely recognised, there is little consensus about the specific methodological approaches. Quantitative tools outlined their relevance for addressing comparative analyses since they are supposed to reducing the complexity, finding out and graduating similarities…
Descriptors: Higher Education, Educational Research, Comparative Analysis, Statistical Analysis
Keaton, Shaughan A.; Bodie, Graham D. – International Journal of Listening, 2013
This article investigates the quality of social scientific listening research that reports numerical data to substantiate claims appearing in the "International Journal of Listening" between 1987 and 2011. Of the 225 published articles, 100 included one or more studies reporting numerical data. We frame our results in terms of eight…
Descriptors: Periodicals, Journal Articles, Listening, Social Science Research
Peer reviewedSirotnik, Kenneth A.; Burstein, Leigh – Educational Administration Quarterly, 1985
Argues that educational researchers analyzing multilevel data must identify appropriate sets of research questions at and within various levels of analysis and must specify appropriate models for analyzing the data. Covers problems, terminology, and measurement and statistical issues associated with multilevel research. (PGD)
Descriptors: Educational Research, Measurement Objectives, Measurement Techniques, Research Methodology
Peer reviewedTaylor, Erwin K.; Griess, Thomas – Personnel Psychology, 1976
In most selection validation research, only the upper and lower tails of the criterion distribution are used, often yielding misleading or incorrect results. Provides formulas and tables which enable the researcher to account more accurately for the distribution of criterion within the middle range of population. (Author/RW)
Descriptors: Evaluation Methods, Measurement Techniques, Predictive Validity, Reliability
Peer reviewedGleason, Terry C.; Staelin, Richard – Psychometrika, 1975
Presents a new approach for estimating missing observations together with the results of a Monte Carlo study of the relative strengths and weaknesses of this technique and three other available methods. These techniques are then examined with respect to their ability to use incomplete data to estimate the correlation matrix obtained using a full…
Descriptors: Comparative Analysis, Correlation, Data Analysis, Matrices
Mumford, Michael D.; Mendoza, Jorge L. – 1983
The present paper reviews the techniques commonly used to correct an observed correlation coefficient for the simultaneous influence of attenuation and range restriction effects. It is noted that the procedure which is currently in use may be somewhat biased because it treats range restriction and attenuation as independent restrictive influences.…
Descriptors: Correlation, Measurement Techniques, Psychometrics, Research Problems
Peer reviewedHolmes, C. Thomas – Journal of Experimental Education, 1984
Methods for estimating effect sizes when complete data are not reported are presented. When not precise, these methods provide a conservative estimate and, therefore, allow for the inclusion in a meta-analysis of relevant studies whose data might otherwise be discarded. (Author/PN)
Descriptors: Effect Size, Estimation (Mathematics), Measurement Techniques, Meta Analysis
Peer reviewedHewes, Dean – Communication Research--An International Quarterly, 1978
Presents an investigation into the problem caused by using ordinal data in statistical procedures requiring at least interval-level data, and explores four elements of this problem. (MH)
Descriptors: Communication (Thought Transfer), Higher Education, Literature Reviews, Measurement Techniques
Peer reviewedMarks, Stephen E.; And Others – Journal of Counseling Psychology, 1973
The authors of this article contend that the Guinan and Foulds study was inadequately designed and executed, and the results indicate little of the "usefulness" of the test, much less illuminate the important hypothesis central to the investigation. Specific suggestions for further research in marathon group evaluation are made. (Author)
Descriptors: Evaluation Methods, Group Counseling, Measurement Techniques, Reliability
Peer reviewedFarrell, Edmund J. – English Journal, 1971
Explores the methodology and objectives of the National Assessment of Education project and draws implications from their findings in relation to writing skills. (RB)
Descriptors: Measurement Techniques, Performance Criteria, Research, Research Design

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