Hierarchical Confirmatory Research — Confirmatory Design for Nested Data
Hierarchical confirmatory research is a quantitative design that tests pre-specified hypotheses about relationships or group differences in data that have a natural nested (hierarchical) structure — such as students clustered within classrooms, patients within hospitals, or employees within organizations. By explicitly modeling the hierarchy, it avoids the inflation of Type I error that occurs when nested data are analyzed as though observations were independent.
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Izvori
- 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
Kako citirati ovu stranicu
ScholarGate. (2026, June 3). Hierarchical Confirmatory Research Design. ScholarGate. https://scholargate.app/sr/research-design/hierarchical-confirmatory-research
Koja metoda?
Postavite ovu metodu pored njoj najbližih srodnika i čitajte ih uporedo — biblioteka polaže knjige na sto; izbor je na vama.
- Konfirmatorna faktorska analiza (CFA)Psihometrija↔ uporedi
- Konfirmatorno istraživanjeDizajn istraživanja↔ uporedi
- Istraživanje testiranja hijerarhijskih modelaDizajn istraživanja↔ uporedi
- Višerazinsko modelovanjeIstraživačka statistika↔ uporedi
- Modelovanje strukturalnih jednačinaIstraživačka statistika↔ uporedi
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