Rekodi ya ushahidi wa mbinu

Multivariate Explanatory Research

Multivariate explanatory research is a quantitative design that simultaneously examines multiple independent variables to explain variance in one or more outcomes. Rather than describing what exists or simply correlating pairs of variables, it seeks causal or structural explanations by testing theoretically grounded models with techniques such as multiple regression, MANOVA, or structural equation modeling on survey, administrative, or observational numeric data.

Sources recorded, not reviewed

Rekodi ya chanzo

Nukuu zimehamishwa kwa uhalisi kutoka kwa rekodi ya chanzo cha mbinu. Hakuna uthibitisho wa kiwango cha dai unaodokezwa kutoka kwao.

Multivariate Explanatory Research Design

Rekodi ya mbinu ya kiajenda · process-pipeline / research-design

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. · ISBN 978-1473756540
Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. · ISBN 978-1452226101

Fungua mbinu kamili

Madai yaliyotunzwa

Madai yamehifadhiwa katika daftari la ushahidi, kila moja ikiwa na tathmini yake.

Hakuna madai yaliyotunzwa bado

Mwonekano huu haubuni tathmini ya dai wakati daftari haina yoyote.

Mbinu zinazohusiana

Zilizotengenezwa kutoka kwa grafu ya mbinu na kuonyeshwa kama uhusiano uliopendekezwa na mashine — hakuna dai la ushahidi linalodokezwa.

Taxonomic bucketCausal-Comparative Researchmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketExplanatory Researchmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultivariate Correlational Researchmachine-suggested · Relational suggestion, not evidence.Same method familyStructural Equation Modelingmachine-suggested · Relational suggestion, not evidence.