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65

臺大管理論叢

2017/9

27

卷第

3

65-108

DOI:10.6226/NTUMR.2017.JAN.A103-022

多元迴歸的自變數比較與多元共線性之影響:效

果量、優勢性與相對權數指標的估計與應用

The Impact of Multicollinearity on the Evaluations of Regressors:

Comparisons of Effect Size Index, Dominance Analysis and

Relative Weight Analysis in Multiple Regression

摘 要

迴歸分析雖廣泛應用於社會科學研究,但過度仰賴顯著性檢定與迴歸係數而忽略了效

果量與相對重要性的評估,本文除了檢視乘積係數等早期指標,並整理近來提出的優

勢分析與相對權數分析,以模擬數據進行增強、壓抑與重疊等不同型態的共線性效果

下各種指標的表現差異,並以「華人家庭動態資料庫」

2011

年的調查資料,檢驗人口

變數與人力資本變數對於

2,325

名臺灣民眾的薪資差異的影響。研究結果指出,多元共

線性對於自變數效果量與相對重要性的影響非常明顯,相對權數分析與優勢分析的相

對重要性指數的表現最為穩定,其中優勢分析具有相當彈性能夠提供更豐富的變數效

果與重要性資訊。最後本文對於各種指標策略進行整理比較,並說明在多元迴歸上的

應用策略。

【關鍵字】

相對權數分析、優勢分析、壓抑效果

Abstract

Regression analysis is frequently used in social sciences. However, regression analyses often

rely heavily on hypothesis testing and interpretations of regression coefficients. As a result,

the effect sizes of regression models as well as the qualities of individual predictors have

long been ignored. This paper reviews several indices that can be used to evaluate the effect

size and relative importance of predictors, the relative weight analysis (RWA), and the

dominance analysis (DA) in multiple regressions. A simulated dataset is used to examine the

impacts of mutlicollinearity, including the enhancement, suppression, and redundancy

effects, on the evaluation of the effect size and relative importance of predictors. A sample of

2,325 Taiwanese adults selected from the 2011 Panel Study of Family Dynamics (PSFD) are

used to demonstrate the use of those indices in predicting the salary differences. Results

suggest that the indices based on RWA and DA are recommended for evaluating the relative

importance of predictors. In particular, DA has the advantage of flexible procedures for

evaluating the different facets of the dominance of predictors. The properties of the

recommended index were summarized in the end of the paper.

Keywords

relative weight analysis, dominance analysis, suppression effect

邱皓政

/

國立臺灣師範大學企業管理學系教授

Haw-Jeng Chiou

, Professor, Department of Business Administration, National Taiwan Normal University

Received 2014/4, Final revision received 2015/1