Difference between ANCOVA and Hierarchical Regression

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Is there a difference between ANCOVA (as performed under the 'General Linear Model (GLM)') and Hierarchical Regression (as performed under 'Regression') in SPSS?

I am testing the main effects and interaction of X1 (continuous) and X2 (categorical) on Y (continuous).

I understand GLM incorporates regression and one of the main advantages of using GLM over the regression function is that GLM (factor) creates dummy coding. In regression, this must be done prior to inputting the categorical factor in the analysis box. The same also applies to the interaction product.

I personally find GLM (ANCOVA) output easier to understand.

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏0 回帖

关键词：Hierarchical difference regression regressio regress between

There really isn't a difference. In matrix algebra form, regression, ANOVA and ANCOVA are all written as

Y=Xβ+ϵ
They arose in different fields and the output is typically formatted differently, but the meaning is the same. However, in the usual usage of the words, regression incorporates the other two, because ANOVA is usually used only when all the independent variables are categorical; ANCOVA when one is continuous (usually) and the others categorical, and regression for any IVs at all.