linear mixed-effect regression Search Results


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Snijders Scientific linear mixed effect regression model lmer
Familiarity rating estimated marginal means from the linear <t>mixed</t> <t>effect</t> <t>regression</t> <t>model.</t> Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean
Linear Mixed Effect Regression Model Lmer, supplied by Snijders Scientific, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Familiarity rating estimated marginal means from the linear <t>mixed</t> <t>effect</t> <t>regression</t> <t>model.</t> Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean
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Familiarity rating estimated marginal means from the linear <t>mixed</t> <t>effect</t> <t>regression</t> <t>model.</t> Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean
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Snijders Scientific mixed effect linear regression model analysis (mem)
Familiarity rating estimated marginal means from the linear <t>mixed</t> <t>effect</t> <t>regression</t> <t>model.</t> Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean
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Familiarity rating estimated marginal means from the linear <t>mixed</t> <t>effect</t> <t>regression</t> <t>model.</t> Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean
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Familiarity rating estimated marginal means from the linear <t>mixed</t> <t>effect</t> <t>regression</t> <t>model.</t> Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean
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SAS institute generalized linear mixed-effects regression models sas glimmix v9.3
Familiarity rating estimated marginal means from the linear <t>mixed</t> <t>effect</t> <t>regression</t> <t>model.</t> Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean
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SAS institute linear regression or mixed-effects model
Familiarity rating estimated marginal means from the linear <t>mixed</t> <t>effect</t> <t>regression</t> <t>model.</t> Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean
Linear Regression Or Mixed Effects Model, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SAS institute longitudinal linear regression model with random effects in the mixed procedure
Familiarity rating estimated marginal means from the linear <t>mixed</t> <t>effect</t> <t>regression</t> <t>model.</t> Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean
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Tsang MD Inc linear mixed-effect regression
Familiarity rating estimated marginal means from the linear <t>mixed</t> <t>effect</t> <t>regression</t> <t>model.</t> Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean
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SSI Inc three-level mixed effects linear regression model supermix 1.0
Familiarity rating estimated marginal means from the linear <t>mixed</t> <t>effect</t> <t>regression</t> <t>model.</t> Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean
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Familiarity rating estimated marginal means from the linear mixed effect regression model. Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean

Journal: Journal of trauma & dissociation : the official journal of the International Society for the Study of Dissociation (ISSD)

Article Title: Preliminary Evidence of a Missing Self Bias in Face Perception for Individuals with Dissociative Identity Disorder

doi: 10.1080/15299732.2018.1547807

Figure Lengend Snippet: Familiarity rating estimated marginal means from the linear mixed effect regression model. Familiarity ratings of the mask are broken out by target stimulus (self, stranger). These are only results for the female masks. The graph on the left is control participants and the graph on the right is a combined sample of all participants with DID/DDNOS. * indicates p < .05, 1 tailed. Error bars are +/− 1 standard error of the mean

Article Snippet: We used a linear mixed effect regression model (LMER; e.g., Snijders & Bosker, 2012 ) to assess the influence of the factors on familiarity ratings.

Techniques: Control