Patrick Dattalo's Books

Analysis of Multiple Dependent Variables

By: Patrick Dattalo

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Analysis of Multiple Dependent Variables

By: Patrick Dattalo

Multivariate procedures allow social workers and other human services researchers to analyze complex, multidimensional social problems and interventions in ways that minimize oversimplification. This pocket guide provides a concise, practical, and economical introduction to four procedures for the analysis of multiple dependent variables: multivariate analysis of variance (MANOVA), multivariate analysis of covariance (MANCOVA), multivariate multiple regression (MMR), and structural equation modeling (SEM). Each procedure will be presented in a way that allows readers to compare and contrast them in terms of (1) appropriate research context; (2) required statistical assumptions, including levels of measurement of variables to be modeled; (3) analytical steps; (4) sample size; and (5) strengths and weaknesses. This invaluable guide facilitates course extensibility in scope and depth by allowing instructors to supplement course content with rigorous statistical procedures. Detailed annotated examples using Stata, SPSS (PASW), SAS, and Amos, together with additional resources, discussion of key terms, and a companion website, make this an unintimidating guide for producers and consumers of social work research knowledge.

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Page Count

191

Publisher

Oxford University Press

Published Date

ISBN 10

0199773599

ISBN 13

9780199773596

Determining Sample Size

By: Patrick Dattalo

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Determining Sample Size

By: Patrick Dattalo

A researchers decision about the sample to draw in a study may have an enormous impact on the results, and it rests on numerous statistical and practical considerations that can be difficult to juggle. Computer programs help, but no single software package exists that allows researchers to determine sample size across all statistical procedures. This pocket guide shows social work students, educators, and researchers how to prevent some of the mistakes that would result from a wrong sample size decision by describing and critiquing four main approaches to determining sample size. In concise, example-rich chapters, Dattalo covers sample-size determination using power analysis, confidence intervals, computer-intensive strategies, and ethical or cost considerations, as well as techniques for advanced and emerging statistical strategies such as structural equation modeling, multilevel analysis, repeated measures MANOVA and repeated measures ANOVA. He also offers strategies for mitigating pressures to increase sample size when doing so may not be feasible. Whether as an introduction to the process for students or as a refresher for experienced researchers, this practical guide is a perfect overview of a crucial but often overlooked step in empirical social work research.

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Page Count

176

Publisher

Oxford University Press

Published Date

ISBN 10

0190295546

ISBN 13

9780190295547

Strategies to Approximate Random Sampling and Assignment

By: Patrick Dattalo

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Strategies to Approximate Random Sampling and Assignment

By: Patrick Dattalo

This book is a single source of a diverse set of tools that will maximize a study's validity when RS and RA are neither possible nor practical. Readers are guided in selecting and implementing an appropriate strategy, including exemplar sampling, sequential sampling, randomization tests, multiple imputation, and much more.

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Page Count

212

Publisher

Oxford University Press

Published Date

ISBN 10

0195378350

ISBN 13

9780195378351

Determining Sample Size

Balancing Power, Precision, and Practicality

By: Patrick Dattalo

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Determining Sample Size

Balancing Power, Precision, and Practicality

By: Patrick Dattalo

A researcher's decision about the sample to draw in a study may have an enormous impact on the results, and it rests on numerous statistical and practical considerations that can be difficult to juggle. Computer programs help, but no single software package exists that allows researchers to determine sample size across all statistical procedures. This pocket guide shows social work students, educators, and researchers how to prevent some of the mistakes that would result from a wrong sample size decision by describing and critiquing four main approaches to determining sample size. In concise, example-rich chapters, Dattalo covers sample-size determination using power analysis, confidence intervals, computer-intensive strategies, and ethical or cost considerations, as well as techniques for advanced and emerging statistical strategies such as structural equation modeling, multilevel analysis, repeated measures MANOVA and repeated measures ANOVA. He also offers strategies for mitigating pressures to increase sample size when doing so may not be feasible. Whether as an introduction to the process for students or as a refresher for experienced researchers, this practical guide is a perfect overview of a crucial but often overlooked step in empirical social work research.

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Page Count

176

Publisher

Oxford University Press

Published Date

ISBN 10

0195315499

ISBN 13

9780195315493

Analysis of Multiple Dependent Variables

By: Patrick Dattalo

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Analysis of Multiple Dependent Variables

By: Patrick Dattalo

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N/A

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Solve jigsaw puzzle

Age

Page Count

191

Publisher

Oxford University Press

Published Date

ISBN 10

0199773599

ISBN 13

9780199773596

Strategies to Approximate Random Sampling and Assignment

By: Patrick Dattalo

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Strategies to Approximate Random Sampling and Assignment

By: Patrick Dattalo

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

212

Publisher

Oxford University Press

Published Date

ISBN 10

0195378350

ISBN 13

9780195378351

Book's by Patrick Dattalo

Analysis of Multiple Dependent Variables

Analysis of Multiple Dependent Variables

Determining Sample Size

Determining Sample Size

Strategies to Approximate Random Sampling and Assignment

Strategies to Approximate Random Sampling and Assignment

Determining Sample Size

Determining Sample Size

Analysis of Multiple Dependent Variables

Analysis of Multiple Dependent Variables

Strategies to Approximate Random Sampling and Assignment

Strategies to Approximate Random Sampling and Assignment

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