This dataset was extracted by the paper Schönbrodt, F. D., Humberg, S., & Nestler, S. (2018). Testing similarity effects with dyadic response surface analysis. We renamed variables to illustration an example in supply chain: X = female predictor variable, Y = male predictor variable, Z_f = female outcome variable have been renamed in this tutorial Y = supplier dependence predictor variable, X = buyer dependence predictor variable, Z_b = buyer satisfaction outcome variable
Dummy variable maximum likelihood (ML) estimation for binary response panel models struggles to esti...
An important application of multivariate analysis is the estimation of the underlying dimensions of ...
IFCS 2011 Symposium of the International Federation of Classification Societies (IFCS), August 30, 2...
Dyadic similarity effect hypotheses state that the (dis)similarity between dyad members (e.g. the si...
Researchers in psychology are often interested in questions of whether the magnitude of the similari...
<p>Left panel: Representation of the correspondence between the population network coefficients (fix...
In this paper we propose to bring together some facets of the Response Surface Methodology used in D...
This dataset contains the raw data and R data file utilized for conducting an user study examining t...
Sa and Edwards (1993) first proposed the Multiple Comparisons with a Control problem in Response Sur...
Context: This paper presents the similarity approach for regression testing (SART), where a similari...
This document reports name matches for the experimental results in the paper: Automatic Extraction o...
Results of similarity assessment including details of attributes, analytical methods and the number ...
This dataset is associated to the manuscript "Gender Bias in Job Referrals: An Experimental Test", c...
Response patterns from test, questionnaires, or other kind of evaluation instruments can give import...
Spatial dependence exists whenever the expected utility of one unit of analysis is affected by the d...
Dummy variable maximum likelihood (ML) estimation for binary response panel models struggles to esti...
An important application of multivariate analysis is the estimation of the underlying dimensions of ...
IFCS 2011 Symposium of the International Federation of Classification Societies (IFCS), August 30, 2...
Dyadic similarity effect hypotheses state that the (dis)similarity between dyad members (e.g. the si...
Researchers in psychology are often interested in questions of whether the magnitude of the similari...
<p>Left panel: Representation of the correspondence between the population network coefficients (fix...
In this paper we propose to bring together some facets of the Response Surface Methodology used in D...
This dataset contains the raw data and R data file utilized for conducting an user study examining t...
Sa and Edwards (1993) first proposed the Multiple Comparisons with a Control problem in Response Sur...
Context: This paper presents the similarity approach for regression testing (SART), where a similari...
This document reports name matches for the experimental results in the paper: Automatic Extraction o...
Results of similarity assessment including details of attributes, analytical methods and the number ...
This dataset is associated to the manuscript "Gender Bias in Job Referrals: An Experimental Test", c...
Response patterns from test, questionnaires, or other kind of evaluation instruments can give import...
Spatial dependence exists whenever the expected utility of one unit of analysis is affected by the d...
Dummy variable maximum likelihood (ML) estimation for binary response panel models struggles to esti...
An important application of multivariate analysis is the estimation of the underlying dimensions of ...
IFCS 2011 Symposium of the International Federation of Classification Societies (IFCS), August 30, 2...