心理科学进展
心理科學進展
심이과학진전
Advances In Psychological Science
2014年
10期
1660~1668
,共null页
方杰 张敏强 顾红磊 梁东梅
方傑 張敏彊 顧紅磊 樑東梅
방걸 장민강 고홍뢰 량동매
有调节的中介 Bootstrap 贝叶斯 差异分析法 系数乘积法
有調節的中介 Bootstrap 貝葉斯 差異分析法 繫數乘積法
유조절적중개 Bootstrap 패협사 차이분석법 계수승적법
Moderated mediation; Bootstrap; Bayesian; difference approach; products of coefficients approach
有调节的中介模型是中介过程受到调节变量影响的模型。评介了基于Bootstrap不对称置信区间和贝叶斯不对称可靠区间进行有调节的中介模型检验的3种方法,包括亚组分析法、差异分析法和系数乘积法。模拟研究发现,偏差校正的百分位Bootstrap置信区间和无先验信息的贝叶斯可靠区间在有调节的中介模型检验中表现相当,都优于百分位Bootstrap置信区间的表现。建议使用系数乘积法进行第一阶段或第二阶段被调节的中介模型检验,使用差异分析法进行两阶段被调节的中介模型检验,并用一个实际例子演示如何用不对称区间估计检验有调节的中介模型。随后评述了3种有调节的中介模型检验方法在国内心理学的应用现状,并展望了检验的拓展方向。
有調節的中介模型是中介過程受到調節變量影響的模型。評介瞭基于Bootstrap不對稱置信區間和貝葉斯不對稱可靠區間進行有調節的中介模型檢驗的3種方法,包括亞組分析法、差異分析法和繫數乘積法。模擬研究髮現,偏差校正的百分位Bootstrap置信區間和無先驗信息的貝葉斯可靠區間在有調節的中介模型檢驗中錶現相噹,都優于百分位Bootstrap置信區間的錶現。建議使用繫數乘積法進行第一階段或第二階段被調節的中介模型檢驗,使用差異分析法進行兩階段被調節的中介模型檢驗,併用一箇實際例子縯示如何用不對稱區間估計檢驗有調節的中介模型。隨後評述瞭3種有調節的中介模型檢驗方法在國內心理學的應用現狀,併展望瞭檢驗的拓展方嚮。
유조절적중개모형시중개과정수도조절변량영향적모형。평개료기우Bootstrap불대칭치신구간화패협사불대칭가고구간진행유조절적중개모형검험적3충방법,포괄아조분석법、차이분석법화계수승적법。모의연구발현,편차교정적백분위Bootstrap치신구간화무선험신식적패협사가고구간재유조절적중개모형검험중표현상당,도우우백분위Bootstrap치신구간적표현。건의사용계수승적법진행제일계단혹제이계단피조절적중개모형검험,사용차이분석법진행량계단피조절적중개모형검험,병용일개실제례자연시여하용불대칭구간고계검험유조절적중개모형。수후평술료3충유조절적중개모형검험방법재국내심이학적응용현상,병전망료검험적탁전방향。
Integrating moderation and mediation models has been a popular topic of study in social science methodology. A moderated mediation model is a combination of both moderation and mediation models. When a mediation effect is moderated by a moderator, the effect is termed moderated mediation and the model is a moderated mediation model. There are three common types of moderated mediation models: first-stage moderated mediation, second-stage moderated mediation, and dual-stage moderated mediation. Three methods of testing moderated mediation models are based on the Bootstrap asymmetric confidence interval and the Bayesian asymmetric credible interval. These methods include a subgroup approach, difference approach, and products of coefficients approach. The products of coefficients approach is recommended to analyze first-stage or second-stage moderated mediation models. The difference approach is recommended to analyze dual-stage moderated mediation models. A simulation study found that the Bayesian credible interval without informative prior yielded higher power than the Bootstrap percentile confidence interval, and comparable power to the Bootstrap bias-corrected confidence interval. In the present study, we used an example to illustrate how to conduct the proposed procedure by using MPLUS and WinBUGS software. MPLUS and WinBUGS programs are provided in the appendix to facilitate the implementation of the Bootstrap method to analyze moderated mediation effects. The programs can be managed easily by empirical researchers. To explore the present situation and problems of using three moderated mediation analysis methods in psychological researches in China, this article reviewed 12 studies published in Chinese psychological journals, retrieved from the CNKI database, since 2009 to 2014.