Metodes pierādījumu reģistrs

Hierarchical Survey Research

Hierarchical survey research is a quantitative design that collects survey data from respondents who are naturally nested within higher-level units — such as students within classrooms, employees within organizations, or patients within hospitals — and uses multilevel (hierarchical linear) modeling to analyze variation at each level simultaneously. It is the standard approach whenever survey data have a clustered structure that would violate the independence assumption of ordinary regression.

Sources recorded, not reviewed

Avota reģistrs

Atsauces kopētas tieši no metodes avota reģistra. Tās nenozīmē nekādu apgalvojumu līmeņa verifikāciju.

Hierarchical Survey Research (Multilevel Survey Design)

Taksonomiskās metodes reģistrs · process-pipeline / research-design

Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling (2nd ed.). Sage. · ISBN 978-1849202015
Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. · ISBN 978-1848728462

Atvērt pilnu metodi

Kurēti apgalvojumi

Apgalvojumi saglabāti pierādījumu reģistrā, katram ar savu novērtējumu.

Vēl nav kurētu apgalvojumu

Šis skatījums neizgudro apgalvojumu novērtējumu, ja reģistrā tā nav.

Saistītās metodes

Ģenerēts no metodes grafika un parādīts kā mašīnas ieteiktas attiecības — netiek izvirzīts neviens pierādījumu apgalvojums.

Same method familyCluster Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketComparative Survey Researchmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLongitudinal Survey Researchmachine-suggested · Relational suggestion, not evidence.Same method familyMultilevel Modelingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Researchmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSurvey Researchmachine-suggested · Relational suggestion, not evidence.