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UCINET Regression Problem

#help #error

Yuan Xi All Messages By This Member #6956 Hi everyone, ? I hope you are doing well. When I used UCINET to test a node-level hypothesis, something went wrong. My dependent variable is centrality, and my independent variables are some dummy?variables and some continuous variables. When I include all dummy variables, all Beta, T, and c.Sig disappear, whereas all p.Sig are 1. When I reduce one dummy variable, it becomes normal. Could anyone explain how this happens? Thanks. ? Best, Simon?
Steve Borgatti All Messages By This Member #6957 开云体育 Simon, if you had a categorical variable with two categories, such as male and female, and you created two dummies (‘ismale’, ‘isfemale’) and then used both as independent variables, the regression would fail because of perfect multi-collinearity. You have to use all but one dummy variable. Could that be what happened here? ? steve ? Stephen P. Borgatti Carol Martin Gatton Chair of Management Gatton College of Business and Economics University of Kentucky ? toggle quoted message Show quoted text From: [email protected] <[email protected]> On Behalf Of yx6wu via groups.io Sent: Monday, February 6, 2023 15:20 To: [email protected] Subject: [ucinet] UCINET Regression Problem #error #help ? CAUTION: External Sender ? Hi everyone, ? I hope you are doing well. When I used UCINET to test a node-level hypothesis, something went wrong. My dependent variable is centrality, and my independent variables are some dummy?variables and some continuous variables. When I include all dummy variables, all Beta, T, and c.Sig disappear, whereas all p.Sig are 1. When I reduce one dummy variable, it becomes normal. Could anyone explain how this happens? Thanks. ? Best, Simon?
Yuan Xi All Messages By This Member #6958 Thanks a lot, Steve! This is really helpful. Can't imagine I forgot such a basic principle.?Appreciate your help! Best, Simon toggle quoted message Show quoted text On Mon, Feb 6, 2023 at 5:35 PM Steve Borgatti <sborgatti@...> wrote: Simon, if you had a categorical variable with two categories, such as male and female, and you created two dummies (‘ismale’, ‘isfemale’) and then used both as independent variables, the regression would fail because of perfect multi-collinearity. You have to use all but one dummy variable. Could that be what happened here? ? steve ? Stephen P. Borgatti Carol Martin Gatton Chair of Management Gatton College of Business and Economics University of Kentucky ? From: [email protected] <[email protected]> On Behalf Of yx6wu via Sent: Monday, February 6, 2023 15:20 To: [email protected] Subject: [ucinet] UCINET Regression Problem #error #help ? CAUTION: External Sender ? Hi everyone, ? I hope you are doing well. When I used UCINET to test a node-level hypothesis, something went wrong. My dependent variable is centrality, and my independent variables are some dummy?variables and some continuous variables. When I include all dummy variables, all Beta, T, and c.Sig disappear, whereas all p.Sig are 1. When I reduce one dummy variable, it becomes normal. Could anyone explain how this happens? Thanks. ? Best, Simon?

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