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List of Figures x
List of Tables xi
Preface xiii
Acknowledgements xvi
1 Analysis of Variance: Between-Groups Designs Alan J. Klockars 1
2 Analysis of Variance: Repeated Measures Designs Lisa M. Lix H. J. Keselman 15
3 Canonical Correlation Analysis Xitao Fan Timothy R. Konold 29
4 Cluster Analysis Dena A. Pastor 41
5 Correlation and Other Measures of Association Jason W. Osborne 55
6 Discriminant Analysis Carl J. Huberty 71
7 Effect Sizes and Confidence Intervals Geoff Cumming Fiona Fidler 79
8 Factor Analysis: Exploratory and Confirmatory Deborah L. Bandalos Sara J. Finney 93
9 Generalizability Theory Amy Hendrickson Ping Yin 115
10 Hierarchical Linear Modeling D. Betsy Mccoach 123
11 Interrater Reliability and Agreement William T. Hoyt 141
12 Item Response Theory R. J. De Ayala 155
13 Latent Class Analysis Karen M. Samuelsen C. Mitchell Dayton 173
14 Latent Growth Curve Models Kristopher J. Preacher 185
15 Latent Transition Analysis David Rindskopf 199
16 Latent Variable Mixture Models Gitta Lubke 209
17 Logistic Regression Ann A. O'Connell K. Rivet Amico 221
18 Log-Linear Analysis Ronald C. Serlin Michael A. Seaman 241
19 Meta-Analysis S. Natasha Beretvas 255
20 Multidimensional Scaling Mark L. Davison Cody S. Ding Se-Kang Kim 265
21 Multiple Regression Ken Kelley Scott E. Maxwell 281
22 Multitrait-Multimethod Analysis Keith F. Widaman 299
23 Multivariate Analysis of Variance Stephen Olejnik 315
24 Power Analysis Kevin R. Murphy 329
25 Reliability and Validity of Instruments Thomas R. Knapp Ralph O. Mueller 337
26 Research Design Sharon Anderson Dannels 343
27 Single Subject Design and Analysis Andrew L. Egel Christine H. Barthold 357
28 Structural Equation Modeling Ralph O. Mueller Gregory R. Hancock 371
29 Structural Equation Modeling: Multisample Covariance and Mean Structures Richard G. Lomax 385
30 Survey Sampling, Administration, and Analysis Laura M. Stapleton 397
31 Survival Analysis Paul D. Allison 413
Lift of Contributors 425
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| $199.00 | Digital |
| WonderClub |
Mike Trower
reviewed The Reviewer's Guide to Quantitative Methods in the Social Sciences on February 08, 2015
The Reviewer's Guide to Quantitative Methods in the Social Sciences
This reads like sensationalist tabloid true-crime.
Although most crime authors tend to sensationalize the story for the market, I really wanted to yell at both of these authors. First of all, if you're going to pretend to be a nonpartial observer/writer, be NONPARTIAL.
The entirety of the book is overwhelmingly pro-Jeremy, the 23yr old rapist/murderer who was "overwhelmed" and "seduced" by a "smart and emotionally moving" 12yr old.
I REPEAT: You're supposed to feel sorry for the 23 yr old for coming under the influence of his 12 year old girlfriend? Come on.
The book is painfully uncomfortable to read in parts, with the author's opinions overwhelming the facts on the page, and the levels of conjecture where fact is non-existent are completely blown out of proportion.
I'd say that if you want more information about the case, wikipedia it. Otherwise, forget it.
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