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Wladis, Claire; Conway, Katherine M.; Hachey, Alyse C. – Online Learning, 2016
This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…
Descriptors: Online Courses, Electronic Learning, Learning Readiness, Student Characteristics
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Tanner-Smith, Emily E.; Lipsey, Mark W. – Peabody Journal of Education, 2014
There are many situations where random assignment of participants to treatment and comparison conditions may be unethical or impractical. This article provides an overview of propensity score techniques that can be used for estimating treatment effects in nonrandomized quasi-experimental studies. After reviewing the logic of propensity score…
Descriptors: Probability, Scores, Quasiexperimental Design, High Schools
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Sheehan, Michael D.; Johnson, R. Burke – Educational Technology Research and Development, 2012
The purpose of this research was to probe the philosophical beliefs of instructional designers using sound philosophical constructs and quantitative data collection and analysis. We investigated the philosophical and methodological beliefs of instructional designers, including 152 instructional design faculty members and 118 non-faculty…
Descriptors: Realism, Ethnicity, Research Methodology, Ethics
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Lynn, Richard – Intelligence, 2010
Beraldo (2010) and Cornoldi, Belacchi, Giofre, Martini, and Tressoldi (2010) (CBGMT) have eight criticisms of my paper (Lynn, 2010) claiming that the large north-south differences in per capita income in Italy are attributable to differences in the average levels of intelligence in the populations. CBGMT give results for seven data sets for IQs in…
Descriptors: Intelligence, Income, Criticism, Foreign Countries
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Cornoldi, Cesare; Belacchi, Carmen; Giofre, David; Martini, Angela; Tressoldi, Patrizio – Intelligence, 2010
Working with data from the PISA study (OECD, 2007), Lynn (2010) has argued that individuals from South Italy average an IQ approximately 10 points lower than individuals from North Italy, and has gone on to put forward a series of conclusions on the relationship between average IQ, latitude, average stature, income, etc. The present paper…
Descriptors: Foreign Countries, Intelligence Quotient, Intelligence Differences, Research Methodology
Burchinal, Peg; Kainz, Kirsten; Cai, Karen; Tout, Kathryn; Zaslow, Martha; Martinez-Beck, Ivelisse; Rathgeb, Colleen – Child Trends, 2009
States and the federal government have invested in early care and education programs with an explicit goal of improving school readiness for low-income children. These investments, aimed at strengthening the quality of care and supporting families' access to high-quality settings, are based in part on a confluence of research findings showing a…
Descriptors: School Readiness, Low Income, Research Methodology, Academic Achievement
Perry, Lucille N. – 1990
It is recognized that parametric methods (e.g., t-tests, discriminant analysis, and methods based on analysis of variance) are special cases of canonical correlation analysis. In canonical correlation it has been argued that structure coefficients must be computed to correctly interpret results. It follows that structure coefficients may be useful…
Descriptors: Correlation, Educational Research, Heuristics, Multivariate Analysis
Caffarella, Edward P.; And Others – Educational Technology, 1982
Results of an educational innovation study, which related the degree of dissemination effort to the nature of the innovation itself, reveal a positive relationship between the diffusability index (rating methodology) and selected indicators of the actual dissemination (i.e., number of times articles apppear in newsapers, journals). Three…
Descriptors: Adoption (Ideas), Correlation, Diffusion (Communication), Educational Innovation
Halinski, Ronald S.; Feldt, Leonard S. – J Educ Meas, 1970
Four commonly employed procedures were repeatedly applied to computer-simulated samples to provide comparative data pertaining to two questions: (a) which procedure can be expected to produce and equation that yields the most accurate predictions for the population, and (b) which procedure is most likely to identify the optimal set of independent…
Descriptors: Correlation, Multiple Regression Analysis, Prediction, Predictive Measurement
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Mason, Craig A.; And Others – Educational and Psychological Measurement, 1996
A strategy is proposed for conceptualizing moderating relationships based on their type (strictly correlational and classically correlational) and form, whether continuous, noncontinuous, logistic, or quantum. Results of computer simulations comparing three statistical approaches for assessing moderator variables are presented, and advantages of…
Descriptors: Comparative Analysis, Computer Simulation, Correlation, Evaluation Methods
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Schmitt, Neal – 1982
A review of cross-validation shrinkage formulas is presented which focuses on the theoretical and practical problems in the use of various formulas. Practical guidelines for use of both formulas and empirical cross-validation are provided. A comparison of results using these formulas in a range of situations is then presented. The result of these…
Descriptors: Correlation, Estimation (Mathematics), Mathematical Formulas, Mathematical Models
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Zhang, Shuqiang; And Others – TESOL Quarterly, 1992
Multiple regression analysis is discussed as useful for studying the effect of a variable while controlling for the effects of others and for estimating the total effect of all predictor variables together. It is suggested that in English-as-a-Second-Language proficiency measurement, regression coefficients should not be the basis for judging…
Descriptors: Correlation, English (Second Language), Evaluation Problems, Language Research
Cummings, Corenna C. – 1982
The accuracy and variability of 4 cross-validation procedures and 18 formulas were compared concerning their ability to estimate the population multiple correlation and the validity of the sample regression equation in the population. The investigation included two types of regression, multiple and stepwise; three sample sizes, N = 30, 60, 120;…
Descriptors: Correlation, Error of Measurement, Mathematical Formulas, Multiple Regression Analysis
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Haertel, Geneva D.; And Others – 1979
Student perceptions of their classroom environment correlated consistently with end-of-course cognitive, affective, and behavioral learning outcomes, with or without statistical controls for ability, pretests, or both measures. Twelve classroom observation studies, kindergarten to grade 12, that reported simple, partial, and part correlations…
Descriptors: Academic Achievement, Classroom Environment, Correlation, Elementary Secondary Education
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Rader, Billie Thomas – Journal of Industrial Teacher Education, 1975
Although a complex process, canonical correlation has numerous potential advantages over other predictive techniques, the most important being that canonical correlation predicts several criterion variables simultaneously. The paper shows how the method can be used for industrial and vocational-technical education data. (Author)
Descriptors: Correlation, Educational Research, Industrial Education, Multivariate Analysis
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