multiple hierarchical regression

基本解釋

Hierarchical multiple regression analysis revealed that expectations being fulfilled was the most significant predictor of global outcome.
多元層次回歸分析表明期望實(shí)現(xiàn)是總療效最有意義的預(yù)測(cè)因素。
Hierarchical multiple regression analysis tested the interaction effects of learning goal orientation and qualitative work experience, controlling for demographic characteristics.
在控制了人口統(tǒng)計(jì)學(xué)變量的效應(yīng)后，學(xué)習(xí)目標(biāo)取向?qū)?jī)效具有顯著的預(yù)測(cè)效應(yīng)；
Hierarchical multiple regression result reflected that collective efficacy for innovation has interactional approach on the relation between conscientiousness and job performance.
結(jié)果顯示，責(zé)任心與工作績(jī)效顯著正相關(guān)，集體創(chuàng)新效能與工作績(jī)效呈顯著負(fù)相關(guān)。
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