Decimal Dust, Significant Digits, and the Search for Stars

被引:18
作者
Bedeian, Arthur G. [1 ]
Sturman, Michael C. [2 ]
Streiner, David L. [3 ,4 ,5 ]
机构
[1] Louisiana State Univ, Ourso Coll Business, Rucks Dept Management, Baton Rouge, LA 70803 USA
[2] Cornell Univ, Sch Hotel Adm, Ithaca, NY 14853 USA
[3] Univ Toronto, Kunin Lunenfeld Appl Res Unit, Toronto, ON M5S 1A1, Canada
[4] Univ Toronto, Baycrest Ctr, Toronto, ON M5S 1A1, Canada
[5] Univ Toronto, Dept Psychiat, Toronto, ON M5S 1A1, Canada
关键词
estimating and rounding numbers; significant digits; statistical precision; confidence intervals;
D O I
10.1177/1094428108321153
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
The practice of rounding statistical results to two decimal places is one of a large number of heuristics followed in the social sciences. In evaluating this heuristic, the authors conducted simulations to investigate the precision of simple correlations. They considered a true correlation of .15 and ran simulations in which the sample sizes were 60, 100, 200, 500, 1,000, 10,000, and 100,000. They then looked at the digits in the correlations' first, second, and third decimal places to determine their reproducibility. They conclude that when n < 500, the habit of reporting a result to two decimal places seems unwarranted, and it never makes sense to report the third digit after the decimal place unless one has a sample size larger than 100,000. Similar results were found with rhos of .30, .50, and .70. The results offer an important qualification to what is otherwise a misleading practice.
引用
收藏
页码:687 / 694
页数:8
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