Missing Data and the Synthesis of Correlation Matrices.

Autor/in	Becker, Betsy Jane
Titel	Missing Data and the Synthesis of Correlation Matrices.
Quelle	(1992), (39 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Bayesian Statistics; College Entrance Examinations; Correlation; Equations (Mathematics); Estimation (Mathematics); High School Students; High Schools; Mathematical Models; Mathematics Tests; Matrices; Meta Analysis; Sample Size; Scores; Spatial Ability; Synthesis; Verbal Tests; SAT (College Admission Test) + Suchen Sie Ihr Suchwort? Aufnahmeprüfung; Korrelation; Equations; Mathematics; Gleichungslehre; Estimation; Schätzung; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Mathematical model; Mathematisches Modell; Matrizenrechnung; Meta-analysis; Metaanalyse; Räumliches Vorstellungsvermögen; Mündliche Prüfung
Abstract	Analyses for results of a series of studies examining intercorrelations among a set of as many as p+1 variables are presented. Several estimators of a pooled or average correlation vector and its variances are derived for cases in which some studies do not report complete correlation matrices. A test of the homogeneity (consistency) of the correlation matrices is also given. Data from a synthesis of relationships among mathematical, verbal, and spatial ability measures illustrate the procedures. These data are taken from 10 samples (sample sizes 74, 153, 48, 55, 51, 18, 27, 43, 35, and 34, respectively) from 4 studies exploring the relationship of spatial ability to Scholastic Aptitude Test scores for high school or junior high school students. The empirical Bayes procedure (based on the EM algorithm) involves no data loss and is recommended if it is reasonable to assume that the unobserved correlations are missing at random. Three tables present illustrative data. (Author/SLD)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC