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MRQAP Network Regression/Ushahidi
Rekodi ya ushahidi wa mbinu

MRQAP Network Regression

Multiple regression quadratic assignment procedure (MRQAP) extends QAP to the regression setting: it predicts a dependent relational matrix from several independent relational matrices on the same actors — for example, modeling who collaborates with whom as a function of who is co-located, who shares a department, and who has prior friendship. Coefficients are estimated by ordinary least squares on the vectorized matrices, but significance is assessed by permutation, because dyadic dependence invalidates the standard regression standard errors.

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Multiple Regression Quadratic Assignment Procedure (MRQAP)
Rekodi ya mbinu ya kiajenda · regression-model / sociology
  • Krackhardt, D. (1988). Predicting with networks: Nonparametric multiple regression analysis of dyadic data. Social Networks, 10(4), 359–381. · DOI 10.1016/0378-8733(88)90004-4
  • Dekker, D., Krackhardt, D., & Snijders, T. A. B. (2007). Sensitivity of MRQAP tests to collinearity and autocorrelation conditions. Psychometrika, 72(4), 563–581. · DOI 10.1007/s11336-007-9016-1
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Same method familyDyadic Analysismachine-suggested · Relational suggestion, not evidence.Same method familyNetwork Autocorrelation Modelmachine-suggested · Relational suggestion, not evidence.Often confused withQuadratic Assignment Proceduremachine-suggested · Relational suggestion, not evidence.See alsoSocial Network Analysismachine-suggested · Relational suggestion, not evidence.

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