statistics;
research methods;
replication;
DATA SETS;
PROGRAM;
D O I:
10.1177/0098628312475036
中图分类号:
G40 [教育学];
学科分类号:
040101 ;
120403 ;
摘要:
Incorporating realistic data and research examples into quantitative (e.g., statistics and research methods) courses has been widely recommended for enhancing student engagement and comprehension. One way to achieve these ends is to use a data generator to emulate the data in published research articles. MorseGen is a free data generator that creates realistic, individual-level data based on user-specified summary statistics (e.g., N, mean, standard deviation, and r). These values can be used in course exercises that allow students to replicate the published results for any between-subjects design or correlation study. Using realistic data generated by MorseGen addresses multiple learning goals proposed for undergraduate psychology students as well as the initiative to increase the realism of exercises and examples in quantitative courses.
机构:
Univ Calif Berkeley, Dept Epidemiol & Biostat, Berkeley, CA 94720 USAUniv Calif Berkeley, Dept Epidemiol & Biostat, Berkeley, CA 94720 USA
Enders, Catherine
Hyde, Rebecca J.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif Berkeley, Dept Epidemiol & Biostat, Berkeley, CA 94720 USAUniv Calif Berkeley, Dept Epidemiol & Biostat, Berkeley, CA 94720 USA
Hyde, Rebecca J.
Selvin, Steve
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif Berkeley, Dept Epidemiol & Biostat, Berkeley, CA 94720 USAUniv Calif Berkeley, Dept Epidemiol & Biostat, Berkeley, CA 94720 USA
Selvin, Steve
Metayer, Catherine
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif Berkeley, Dept Epidemiol & Biostat, Berkeley, CA 94720 USAUniv Calif Berkeley, Dept Epidemiol & Biostat, Berkeley, CA 94720 USA
Metayer, Catherine
Francis, Stephen Starko
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif San Francisco, Dept Neurol Surg, San Francisco, CA USA
Univ Nevada, Div Epidemiol, Reno, NV 89557 USAUniv Calif Berkeley, Dept Epidemiol & Biostat, Berkeley, CA 94720 USA