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Crooks, Noelle M.; Bartel, Anna N.; Alibali, Martha W. – Statistics Education Research Journal, 2019
In recent years, there have been calls for researchers to report and interpret confidence intervals (CIs) rather than relying solely on p-values. Such reforms, however, may be hindered by a general lack of understanding of CIs and how to interpret them. In this study, we assessed conceptual knowledge of CIs in undergraduate and graduate psychology…
Descriptors: Undergraduate Students, Graduate Students, Psychology, Statistics
Crooks, Noelle M.; Bartel, Anna N.; Alibali, Martha W. – Grantee Submission, 2019
In recent years, there have been calls for researchers to report and interpret confidence intervals (CIs) rather than relying solely on p-values. Such reforms, however, may be hindered by a general lack of understanding of CIs and how to interpret them. In this study, we assessed conceptual knowledge of CIs in undergraduate and graduate psychology…
Descriptors: Undergraduate Students, Graduate Students, Psychology, Statistics
Luce, Christine; Kirnan, Jean P. – Journal of the Scholarship of Teaching and Learning, 2016
Contradictory results have been reported regarding the accuracy of various methods used to assess student learning in higher education. The current study examined student learning outcomes across a multi-section and mult-iinstructor psychology research course with both indirect and direct assessments in a sample of 67 undergraduate students. The…
Descriptors: Undergraduate Students, Psychology, Methods Courses, Student Evaluation
Velicer, Wayne F.; Brick, Leslie Ann D.; Fava, Joseph L.; Prochaska, James O. – Multivariate Behavioral Research, 2013
Testing Theory-based Quantitative Predictions (TTQP) represents an alternative to traditional Null Hypothesis Significance Testing (NHST) procedures and is more appropriate for theory testing. The theory generates explicit effect size predictions and these effect size estimates, with related confidence intervals, are used to test the predictions.…
Descriptors: Smoking, Statistical Significance, Confidence Testing, Effect Size
Blouin, David C.; Riopelle, Arthur J. – Psychological Methods, 2005
Confidence intervals (CIs) for means are frequently advocated as alternatives to null hypothesis significance testing (NHST), for which a common theme in the debate is that conclusions from CIs and NHST should be mutually consistent. The authors examined a class of CIs for which the conclusions are said to be inconsistent with NHST in…
Descriptors: Intervals, Hypothesis Testing, Generalization, Statistical Significance

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