The reviewer's guide to quantitative methods in the social sciences editors, Gregory R. Hancock, Ralph O. Mueller.
Detalles de publicación: New York Routledge 2010.Descripción: xv, 432 p. ill. 26 cmISBN:- 9780415965088 (pbk. : alk. paper)
- 041596508X (pbk. : alk. paper)
- 300.72 R4545 22
- H62 .R466 2010
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
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| Libro | Biblioteca Encarnación Valdés Colección General bev | 300.72 R4545 (Navegar estantería(Abre debajo)) | c.2 | Disponible | 80000002464397 | |||||||||||||
| Libro | Biblioteca Encarnación Valdés Colección General bev | 300.72 R4545 (Navegar estantería(Abre debajo)) | Disponible | 80000002463795 |
Descripciones mejoradas de Syndetics:
The Reviewer's Guide to Quantitative Methods in the Social Sciencesis designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-one uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The book updates readers on each technique's key principles, appropriate usage, underlying assumptions, and limitations. It thereby assists reviewers to offer constructive commentary on works they evaluate, and also serves as an indispensable author's reference for preparing sound research manuscripts and proposals.
Key features include:
The chapters cover virtually all of the popular classic and emerging quantitative techniques, thus helping reviewers to evaluate a manuscript's methodological approach and its data analysis. In addition, the volume serves as an indispensable reference tool for those designing their own research.
For ease of use, all chapters follow the same structure:
the opening page of each chapter defines and explains the purpose of that statistical method the next one or two pages provide a table listing various criteria that should be considered when evaluating and applying that methodological approach to data analysis the remainder of each chapter contains numbered sections corresponding to the numbered criteria listed in the opening table. Each section explains the role and importance of that particular criterion.Chapters are written by methodological and applied scholars who are expert in the particular quantitative method being reviewed.
me serves as an indispensable reference tool for those designing their own research.For ease of use, all chapters follow the same structure:
the opening page of each chapter defines and explains the purpose of that statistical method the next one or two pages provide a table listing various criteria that should be considered when evaluating and applying that methodological approach to data analysis the remainder of each chapter contains numbered sections corresponding to the numbered criteria listed in the opening table. Each section explains the role and importance of that particular criterion.Chapters are written by methodological and applied scholars who are expert in the particular quantitative method being reviewed.
Includes bibliographical references.
Analysis of variance : between-groups designs Alan J. Klockars -- Analysis of variance : repeated measures designs Lisa M. Lix and H. J. Keselman -- Canonical correlation analysis Xitao Fan and Timothy R. Konold -- Cluster analysis Dena A. Pastor -- Correlation and other measures of association Jason W. Osborne -- Discriminant analysis Carl J. Huberty -- Effect sizes and confidence intervals Geoff Cumming and Fiona Fidler -- Factor analysis : Exploratory and confirmatory Deborah L. Bandalos and Sara J. Finney -- Generalizability theory Amy Hendrickson and Ping Yin -- Hierarchical linear modeling D. Betsy McCoach -- Interrater reliability and agreement William T. Hoyt -- Item response theory R.J. De Ayala -- Latent class analysis Karen M. Samuelsen and C. Mitchell Dayton -- Latent growth curve models Kristopher J. Preacher -- Latent translation analysis David Rindskopf -- Latent variable mixture models Gitta Lubke -- Logistic regression Ann A. O'Connell and K. Rivet Amico -- Log-linear analysis Ronald C. Serlin and Michael A. Seaman -- Meta-analysis S. Natasha Beretvas -- Multidimensional scaling Mark L. Davison, Cody S. Ding, and Se-Kang Kim -- Multiple regression Ken Kelley and Scott E. Maxwell -- Multitrait-multimethod analysis Keith F. Widaman -- Multivariate analysis of variance Stephen Olejnik -- Power analysis Kevin R. Murphy -- Reliability and validity of instruments Thomas R. Knapp and Ralph O. Mueller -- Research design Sharon Anderson Dannels -- Single subject design and analysis Andrew L. Egel and Christine H. Barthold -- Structural equation modeling Ralph O. Mueller and Gregory R. Hancock -- Structural equation modeling : multisample covariance and mean structures Richard G. Lomax -- Survey sampling, administration, and analysis Laura M. Stapleton -- Survival analysis Paul D. Allison.
Tabla de contenidos provista por Syndetics
- List of Figures(p. x)
- List of Tables(p. xi)
- Preface(p. xiii)
- Acknowledgements(p. xvi)
- 1 Analysis of Variance: Between-Groups Designs(p. 1)
- 2 Analysis of Variance: Repeated Measures Designs(p. 15)
- 3 Canonical Correlation Analysis(p. 29)
- 4 Cluster Analysis(p. 41)
- 5 Correlation and Other Measures of Association(p. 55)
- 6 Discriminant Analysis(p. 71)
- 7 Effect Sizes and Confidence Intervals(p. 79)
- 8 Factor Analysis: Exploratory and Confirmatory(p. 93)
- 9 Generalizability Theory(p. 115)
- 10 Hierarchical Linear Modeling(p. 123)
- 11 Interrater Reliability and Agreement(p. 141)
- 12 Item Response Theory(p. 155)
- 13 Latent Class Analysis(p. 173)
- 14 Latent Growth Curve Models(p. 185)
- 15 Latent Transition Analysis(p. 199)
- 16 Latent Variable Mixture Models(p. 209)
- 17 Logistic Regression(p. 221)
- 18 Log-Linear Analysis(p. 241)
- 19 Meta-Analysis(p. 255)
- 20 Multidimensional Scaling(p. 265)
- 21 Multiple Regression(p. 281)
- 22 Multitrait-Multimethod Analysis(p. 299)
- 23 Multivariate Analysis of Variance(p. 315)
- 24 Power Analysis(p. 329)
- 25 Reliability and Validity of Instruments(p. 337)
- 26 Research Design(p. 343)
- 27 Single Subject Design and Analysis(p. 357)
- 28 Structural Equation Modeling(p. 371)
- 29 Structural Equation Modeling: Multisample Covariance and Mean Structures(p. 385)
- 30 Survey Sampling, Administration, and Analysis(p. 397)
- 31 Survival Analysis(p. 413)
- List of Contributors(p. 425)
Notas de autor provistas por Syndetics
Gregory R. Hancock is Professor and Chair of the Department of Measurement, Statistics, and Evaluation at the University of Maryland and is Director of their Center for Integrated Latent Variable Research.Ralph O. Mueller is Professor and Dean of the College of Education, Nursing, and Health Professions at the University of Hartford, Connecticut.