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van Aert, Robbie C. M. – Research Synthesis Methods, 2023
The partial correlation coefficient (PCC) is used to quantify the linear relationship between two variables while taking into account/controlling for other variables. Researchers frequently synthesize PCCs in a meta-analysis, but two of the assumptions of the common equal-effect and random-effects meta-analysis model are by definition violated.…
Descriptors: Correlation, Meta Analysis, Sampling, Simulation
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Bell, Stephen H.; Puma, Michael J.; Cook, Ronna J.; Heid, Camilla A. – Society for Research on Educational Effectiveness, 2013
Access to Head Start has been shown to improve children's preschool experiences and school readiness on selected factors through the end of 1st grade. Two more years of follow-up, through the end of 3rd grade, can now be examined to determine whether these effects continue into the middle elementary grades. The statistical design and impact…
Descriptors: Evaluation Methods, Data Analysis, Randomized Controlled Trials, Sampling
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Zientek, Linda Reichwein; Ozel, Z. Ebrar Yetkiner; Ozel, Serkan; Allen, Jeff – Career and Technical Education Research, 2012
Confidence intervals (CIs) and effect sizes are essential to encourage meta-analytic thinking and to accumulate research findings. CIs provide a range of plausible values for population parameters with a degree of confidence that the parameter is in that particular interval. CIs also give information about how precise the estimates are. Comparison…
Descriptors: Vocational Education, Effect Size, Intervals, Self Esteem