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Published **2009**
by Oxford University Press in New York, N.Y .

Written in English

- Social service -- Research,
- Evaluation research (Social action programs),
- Evidence-based social work

**Edition Notes**

Includes bibliographical references and index.

Statement | Donna Harrington. |

Classifications | |
---|---|

LC Classifications | HV11 .H5576 2009 |

The Physical Object | |

Pagination | p. cm. |

ID Numbers | |

Open Library | OL16899612M |

ISBN 10 | 9780195339888 |

LC Control Number | 2008017983 |

Confirmatory Factor Analysis book. Read reviews from world’s largest community for readers. Measures that are reliable, valid and can be used across dive 4/5(2). Confirmatory factor analysis for applied research / Timothy A. Brown. p. cm. — (Methodology in the social sciences) Includes bibliographical references and index. ISBN (pbk.) ISBN (pbk.) ISBN (hardcover) ISBN (hardcover) 1. Factor analysis. I. Title. II. Series. BFF32B76 File Size: 2MB. Confirmatory Factor Analysis presents the basic CFM equations and assumptions, provides a thorough discussion of identification in such models, and compares various methods of statistical estimation, including unweighted least squares, generalized least squares, and maximum likelihood methods. Throughout the manuscript, Professor Long. Author Bio This volume presents the important concepts required for implementing two disciplines of factor analysis—exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) with an emphasis on EFA/CFA :

For the last two decades, the preferred method for such testing has often been confirmatory factor analysis (CFA). CFA expresses the degree of discrepancy between predicted and empirical factor structure in X 2 and indices of “goodness of fit” (GOF), while primary factor loadings and modification indices provide some feedback on item by: Confirmatory Factor Analysis CFA allows for the assessment of fit between observed data and an a prioriconceptualized, theoretically grounded model that specifies the hypothesized causal relations between latent factors and their observed indicator variables. From: International Encyclopedia of the Social & Behavioral Sciences, Confirmatory factor analysis (CFA) is used to study the relationships between a set of observed variables and a set of continuous latent variables. When the observed variables are categorical, CFA is also referred to as item response theory (IRT) analysis (Fox, ; van der Linden, ). CFA with covariates (MIMIC) includes models where. Confirmatory factor analysis borrows many of the same concepts from exploratory factor analysis except that instead of letting the data tell us the factor structure, we pre-determine the factor structure and perform a hypothesis test to see if this is true. In this portion of the seminar, we will continue with the example of the SAQ.

Confirmatory Factor Analysis Pocket Guide to Social Work Research Methods: Author: Donna Harrington: Publisher: Oxford University Press, ISBN: . With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA : Timothy A. Brown. Two-Factor CFA (Neuroticism, Extraversion) Figure Input Matrix: SDs and Correlations: figdat: Input File for Amos Basic: : Table Confirmatory Factor Analysis for Applied Research, Second Edition Timothy A. Brown PsyD With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA).

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