Zapis dokaza metode

Hierarchical Relational Survey

A hierarchical relational survey combines the correlational goals of relational survey research with a multilevel data structure in which respondents are nested within higher-level units such as classrooms, schools, hospitals, or organizations. The design acknowledges that observations within the same group are not independent, and uses hierarchical linear modeling (HLM) or equivalent multilevel techniques to examine relationships among variables both within and between levels simultaneously.

Sources recorded, not reviewed

Izvorni zapis

Citati kopirani doslovno iz izvornog zapisa metode. Ne impliciraju nikakvu provjeru na razini tvrdnje.

Hierarchical Relational Survey Research

Taksonomski zapis metode · process-pipeline / research-design

Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical Linear Models: Applications and Data Analysis Methods (2nd ed.). Sage. · ISBN 978-0761919049
Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. · ISBN 978-1848728462

Otvori cijelu metodu

Uređene tvrdnje

Tvrdnje pohranjene u knjigu dokaza, svaka s vlastitom procjenom.

Nema uređenih tvrdnji

Ovaj prikaz ne izmišlja procjenu tvrdnje kada knjiga dokaza nema nijednu.

Povezane metode

Generirano iz grafa metode i prikazano kao strojno predložene relacije — ne implicira se nikakva tvrdnja dokaza.

Taxonomic bucketHierarchical Cross-Sectional 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 bucketRelational Surveymachine-suggested · Relational suggestion, not evidence.