Confidence Intervals for the Squared Multiple Semipartial Correlation Coefficient

被引:0
|
作者
Algina, James [1 ]
Keselman, H. J. [2 ]
Penfield, Randall D. [3 ]
机构
[1] Univ Florida, Res & Evaluat Methodol, Gainesville, FL 32611 USA
[2] Univ Manitoba, Psychol, Winnipeg, MB R3T 2N2, Canada
[3] Univ Miami, Educ, Coral Gables, FL 33124 USA
关键词
Squared multiple semipartial correlation; effect size; asymptotic and bootstrap confidence intervals;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The squared multiple semipartial correlation coefficient is the increase in the squared multiple correlation coefficient that occurs when two or more predictors are added to a multiple regression model. Coverage probability was investigated for two variations of each of three methods for setting confidence intervals for the population squared multiple semipartial correlation coefficient. Results indicated that the procedure that provides coverage probability in the [.925,.975] interval for a 95% confidence interval depends primarily on the number of added predictors. Guidelines for selecting a procedure are presented.
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页码:2 / 10
页数:9
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