Variance Components for NLS: Partitioning the Design Effect.

Autor/in	Folsom, Ralph E., Jr.
Institution	Research Triangle Inst., Durham, NC.
Titel	Variance Components for NLS: Partitioning the Design Effect.
Quelle	(1975), (25 Seiten)Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; Monographie
Schlagwörter	Analysis of Variance; Cluster Analysis; Followup Studies; Graduate Surveys; High School Graduates; Longitudinal Studies; Mathematical Models; National Surveys; Probability; Research Design; Research Methodology; Research Reports; Sampling; Statistical Surveys; Weighted Scores; National Longitudinal Study of the High School Class of 1972 + Suchen Sie Ihr Suchwort? Clusteranalyse; Follow-up studies; Kontaktstudium; High school; High schools; Graduate; Graduates; Oberschule; Absolvent; Absolventin; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Mathematical model; Mathematisches Modell; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Forschungsdesign; Research method; Forschungsmethode; Research report; Forschungsbericht; Statistische Erhebung
Abstract	This memorandum demonstrates a variance components methodology for partitioning the overall design effect (D) for a ratio mean into stratification (S), unequal weighting (W), and clustering (C) effects, so that D = WSC. In section 2, a sample selection scheme modeled after the National Longitudinal Study of the High School Class of 1972 (NKS) sample is described. In section 3, variance components are defined which can be used to model the variance of an NLS sample total. A second set of components are defined which parallel the appropriate NLS components with the exception that all effects of unequal weighting are removed. That is, components are estimated as if schools were allocated to final strata strictly proportional to the actual student population per stratum: as if the actual student enrollments were used to assign school size measures; and finally, as if there was no nonresponse. In section 4, sample mean squares are presented for estimating the components defined in section 3. Section 4 translates the components definitions developed for sample totals in to the associated components for a domain mean. In the final section, various functions of variance components and sample size parameters are presented for estimating the effects W,S, and C. (Author/CP)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC