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Download full textBorman, Trisha; Rapaport, Amie; Jaciw, Andrew; LiCalsi, Christina; Zacamy, Jenna – Regional Educational Laboratory Southwest, 2016
Regional Educational Laboratory Southwest conducted this literature review to identify malleable factors that can be measured in K-12 settings and that predict students' postsecondary science, technology, engineering, and math (STEM) success (defined as enrolling in, persisting in, and completing a postsecondary STEM major or degree), particularly…
Descriptors: STEM Education, Elementary Secondary Education, Postsecondary Education, Literature Reviews
Direct linkGoldhaber, Dan; Chaplin, Duncan – Center for Education Data & Research, 2012
In a provocative and influential paper, Jesse Rothstein (2010) finds that standard value added models (VAMs) suggest implausible future teacher effects on past student achievement, a finding that obviously cannot be viewed as causal. This is the basis of a falsification test (the Rothstein falsification test) that appears to indicate bias in VAM…
Descriptors: School Effectiveness, Teacher Effectiveness, Achievement Gains, Statistical Bias
Eisenhauer, Joseph G. – Teaching Statistics: An International Journal for Teachers, 2009
Very little explanatory power is required in order for regressions to exhibit statistical significance. This article discusses some of the causes and implications. (Contains 2 tables.)
Descriptors: Statistical Significance, Educational Research, Sample Size, Probability
Reardon, Robert F.; Traverse, Maria A.; Feakes, Debra A.; Gibbs, Karen A.; Rohde, Rodney E. – Journal of Chemical Education, 2010
The primary goals of this project were to develop a reliable instrument to measure the chemistry course perceptions (CCP) of undergraduate chemistry students and to determine the predictors of CCP of undergraduate students as they enter their first college chemistry class. In a pilot study, 250 undergraduate students were solicited with 57…
Descriptors: Undergraduate Students, Self Efficacy, Chemistry, Measures (Individuals)
Strang, Kenneth David – Practical Assessment, Research & Evaluation, 2009
This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…
Descriptors: Multicultural Education, Computer Software, Multiple Regression Analysis, Multidimensional Scaling
Peer reviewedCohen, Patricia – Evaluation and Program Planning: An International Journal, 1982
The various costs of Type I and Type II errors of inference from data are discussed. Six methods for minimizing each error type are presented, which may be employed even after data collection for Type I and which minimizes Type II errors by a study design and analytical means combination. (Author/CM)
Descriptors: Analysis of Variance, Data Analysis, Data Collection, Error of Measurement
Morgan, Beverly D. – 1992
The relationship between scores on the American College Test (ACT) and grade point averages of first-time college freshmen after the first year of study was investigated by correlating ACT composite scores and grade point averages (GPAs). ACT scores and GPAs were obtained for 100 first-time freshmen at an urban state university in Illinois. There…
Descriptors: Class Rank, College Admission, College Entrance Examinations, College Freshmen
