Articoli correlati a Multivariate Taxometric Procedures: Distinguishing...

Multivariate Taxometric Procedures: Distinguishing Types from Continua - Rilegato

Waller, Niels G.; Meehl, Paul E.

 
9780761902577: Multivariate Taxometric Procedures: Distinguishing Types from Continua
Rilegato
ISBN 10: 0761902570 ISBN 13: 9780761902577
Casa editrice: Sage Pubns, 1998

Sinossi

Can taxometric procedures be used to distinguish types (species, latent classes, taxa) from continua (dimensions, latent traits, factors); and, if so, how? Aimed at demystifying this process, Niels G. Waller and Paul E. Meehl unpack MeehlÆs work on the MAXCOV-HITMAX procedure to reveal the underlying rationale of MAXCOV in simple terms and show how this technique can be profitably used in a variety of disciplines by researchers in their taxonomic work. The book begins with a discussion of the misconceptions concerning the psychometric and philosophical status of taxonic constructs; and, next reviews several meanings of the term "taxon" and the philosophy of science that has guided the authorsÆ work in this area. The authors then describe MAXCOV-HITMAX and demonstrate how MAXCOV uses the general covariance mixture theorem to test taxonic hypotheses (using utility programs written in S-Plus that appear in the appendixes to do the taxometric procedures). Using many clear examples and illustrations, they next introduce two new taxometric procedures, MAXEIG-HITMAX (MAXEIG) and L-Mode, for the simultaneous analysis of multiply taxon indicators, and contrast these techniques with other data clustering and classification methods, such as latent profile analysis and Q-techniques factor analysis. Lastly, they provide guidelines for corroborating taxonic models and describe the role of taxometrics in scientific methodology. This book will appeal to those professionals and practitioners in statistics, research methods, evaluation, measurement, survey research, sociology, psychology, education research, communication research, policy studies, management, public health, and nursing.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

Can taxometric procedures be used to distinguish types (species, latent classes, taxa) from continua (dimensions, latent traits, factors); and, if so, how? Aimed at demystifying this process, Niels G. Waller and Paul E. Meehl unpack MeehlÆs work on the MAXCOV-HITMAX procedure to reveal the underlying rationale of MAXCOV in simple terms and show how this technique can be profitably used in a variety of disciplines by researchers in their taxonomic work. The book begins with a discussion of the misconceptions concerning the psychometric and philosophical status of taxonic constructs; and, next reviews several meanings of the term "taxon" and the philosophy of science that has guided the authorsÆ work in this area. The authors then describe MAXCOV-HITMAX and demonstrate how MAXCOV uses the general covariance mixture theorem to test taxonic hypotheses (using utility programs written in S-Plus that appear in the appendixes to do the taxometric procedures). Using many clear examples and illustrations, they next introduce two new taxometric procedures, MAXEIG-HITMAX (MAXEIG) and L-Mode, for the simultaneous analysis of multiply taxon indicators, and contrast these techniques with other data clustering and classification methods, such as latent profile analysis and Q-techniques factor analysis. Lastly, they provide guidelines for corroborating taxonic models and describe the role of taxometrics in scientific methodology. This book will appeal to those professionals and practitioners in statistics, research methods, evaluation, measurement, survey research, sociology, psychology, education research, communication research, policy studies, management, public health, and nursing.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Sage Pubns
Data di pubblicazione
1998
Lingua
Inglese
ISBN 10 
0761902570
ISBN 13 
9780761902577
Rilegatura
Copertina rigida
Numero di pagine
160
Contatto del produttore
non disponibile
Persona responsabile
non disponibile