The Philosophical Foundations of Prescriptive Statements and Statistical Inference
被引:0
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作者:
Shuyan Sun
论文数: 0引用数: 0
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机构:University of Cincinnati,School of Education
Shuyan Sun
Wei Pan
论文数: 0引用数: 0
h-index: 0
机构:University of Cincinnati,School of Education
Wei Pan
机构:
[1] University of Cincinnati,School of Education
来源:
Educational Psychology Review
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2011年
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23卷
关键词:
Philosophy of science;
Statistical inference;
Prescriptive statement;
Replication;
D O I:
暂无
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学科分类号:
摘要:
From the perspectives of the philosophy of science and statistical inference, we discuss the challenges of making prescriptive statements in quantitative research articles. We first consider the prescriptive nature of educational research and argue that prescriptive statements are a necessity in educational research. The logic of deduction, abduction, and induction in philosophy of science are briefly reviewed, and the logic of prescriptive statement is specifically considered. The inductive nature of statistical inference is examined for both classical frequentist statistics and Bayesian statistics. To conclude our discussion, we recommend conducting replications and building “research programs” in educational research. We also make recommendations on what to write in the discussion section and what evidence is required to make an appropriate prescriptive statement.
机构:
Univ Calif Santa Barbara, Gevirtz Grad Sch Educ, Santa Barbara, CA 93106 USAUniv Calif Santa Barbara, Gevirtz Grad Sch Educ, Santa Barbara, CA 93106 USA
Maul, Andrew
Irribarra, David Torres
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机构:
Pontificia Univ Catolica Chile, MIDE, Santiago, ChileUniv Calif Santa Barbara, Gevirtz Grad Sch Educ, Santa Barbara, CA 93106 USA
Irribarra, David Torres
Wilson, Mark
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机构:
Univ Calif Berkeley, Grad Sch Educ, Berkeley, CA 94720 USAUniv Calif Santa Barbara, Gevirtz Grad Sch Educ, Santa Barbara, CA 93106 USA
机构:
Hofstra Univ, Frank G Zarb Sch Business, Dept Business Comp Informat Syst Quantitat Method, Hempstead, NY 11550 USAHofstra Univ, Frank G Zarb Sch Business, Dept Business Comp Informat Syst Quantitat Method, Hempstead, NY 11550 USA
Klein, Esther E.
Herskovitz, Paul J.
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机构:
CUNY, Coll Staten Isl, Dept Business, New York, NY 10021 USAHofstra Univ, Frank G Zarb Sch Business, Dept Business Comp Informat Syst Quantitat Method, Hempstead, NY 11550 USA