Composite Score Analysis: Ability Index, SES Index, Some Psychological and Educational Construct Scales. National Longitudinal Study of the High School Class of 1972. RTI Project No. 884.

Autor/inn/en	Dunteman, George H.; und weitere
Institution	Research Triangle Inst., Durham, NC. Center for Educational Research and Evaluation.
Titel	Composite Score Analysis: Ability Index, SES Index, Some Psychological and Educational Construct Scales. National Longitudinal Study of the High School Class of 1972. RTI Project No. 884.
Quelle	(1974), (69 Seiten)Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; Monographie
Schlagwörter	Academic Ability; Factor Structure; Followup Studies; Graduate Surveys; High School Graduates; High Schools; Longitudinal Studies; National Surveys; Participant Characteristics; Postsecondary Education; Predictor Variables; Psychological Characteristics; Socioeconomic Influences; Statistical Analysis; Statistical Studies; Test Results; National Longitudinal Study of the High School Class of 1972 + Suchen Sie Ihr Suchwort? Faktorenstruktur; Follow-up studies; Kontaktstudium; High school; High schools; Graduate; Graduates; Oberschule; Absolvent; Absolventin; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Post-secondary education; Tertiäre Bildung; Prädiktor; Sozioökonomischer Faktor; Statistische Analyse
Abstract	The first set of National Longitudinal Study (NLS) data was analyzed to derive composite scores to be used in subsequent analyses. The composites include a general ability measure, a socioeconomic status (SES) index, and factor scores from factor analyses of sets of question items measuring goals, attitudes, and other psychological attributes. The derived composites can be used to help define subpopulations for descriptive statistics and as independent or control variables in some analytic studies. Procedures and results of the composite score analyses are presented. Four appendices contain Duncan's socioeconomic status metric for first followup questionnaire #93; group means for substitution of missing data; principal components factor matrices; analysis means; and means and standard deviations used for standardization. (Author/CP)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC