Cantitate/Preț
Produs
Total produse
Vezi coșul
A Primer on Regression Artifacts de Donald T. Campbell

A Primer on Regression Artifacts: Methodology in the Social Sciences

Autor Donald T. Campbell, David A. Kenny
en Limba Engleză Hardback – 16 sep 1999

Apreciem autoritatea incontestabilă cu care Donald T. Campbell, un pionier al validității în cercetarea socială, și David A. Kenny abordează unul dintre cele mai subtile obstacole în analiza datelor: regresia către medie. A Primer on Regression Artifacts nu este doar un manual tehnic, ci un ghid metodologic esențial care fundamentează rigoarea științifică în evaluarea intervențiilor. Autorii își folosesc experiența vastă pentru a demonstra cum cercetătorii atribuie adesea în mod eronat succesul unei terapii sau al unui program educațional unor variabile cauzale, ignorând faptul că schimbarea observată este un simplu artefact statistic.

Considerăm că structura logică a cărții facilitează o progresie clară a înțelegerii. Primele capitole introduc concepte grafice și matematice, urmate de analize specifice asupra modului în care selecția grupurilor extreme sau potrivirea subiecților pot genera distorsiuni. Lucrarea acoperă scenarii complexe, de la studii longitudinale la analize de corelație panel (cross-lagged), oferind instrumente practice precum glosare și seturi de date pentru simulări. Această abordare completează perspectiva oferită de Regression Analysis de Jeremy Arkes; în timp ce Arkes oferă o introducere practică generală în modelele de regresie, lucrarea lui Campbell și Kenny adâncește specific acele „capcane” statistice care pot compromite validitatea inferențelor cauzale.

În contextul operei lui Donald T. Campbell, acest volum rafinează temele explorate în Social Experimentation și Unobtrusive Measures. Dacă lucrările sale anterioare stabileau cadrul general al experimentării sociale, A Primer on Regression Artifacts acționează ca un instrument de precizie, concentrându-se pe mecanismele interne care pot invalida un experiment. Este o resursă indispensabilă pentru cei care doresc să evite interpretările eronate în cercetarea aplicată.

Citește tot Restrânge

Din seria Methodology in the Social Sciences

  • Data Analysis with Mplus
    Preț: 41814 lei
  • 8% Confirmatory Factor Analysis for Applied Research, Second Edition
    Preț: 48672 lei
  • 15% Psychometric Methods: Theory into Practice
    Preț: 57653 lei
  • 9% Regression Analysis and Linear Models: Concepts, Applications, and Implementation
    Preț: 63536 lei
  • 8% Measurement Theory and Applications for the Social Sciences
    Preț: 59736 lei
  • Quasi-Experimentation: A Guide to Design and Analysis
    Preț: 41656 lei
  • 8% Theory Construction and Model-Building Skills, Second Edition: A Practical Guide for Social Scientists
    Preț: 48791 lei
  • 8% Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective
    Preț: 46093 lei
  • 15% Principles and Practice of Structural Equation Modeling, Fifth Edition
    Preț: 45931 lei
  • 8% Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research
    Preț: 41576 lei
  • 15% Growth Modeling: Structural Equation and Multilevel Modeling Approaches
    Preț: 54465 lei
  • Missing Data: A Gentle Introduction
    Preț: 32022 lei
  • Regression Analysis for Categorical Moderators
    Preț: 36324 lei
  • Spectral Analysis of Time-Series Data
    Preț: 40544 lei
  • 26% Doing Statistical Mediation and Moderation
    Preț: 33619 lei
  • 12% Applied Meta-Analysis for Social Science Research
    Preț: 34338 lei
  • 26% Hypothesis Testing and Model Selection in the Social Sciences
    Preț: 37027 lei
  • 16% Conducting Personal Network Research: A Practical Guide
    Preț: 31712 lei
  • 9% Conducting Personal Network Research Cancelled
    Preț: 50626 lei

Preț: 48291 lei

Puncte Express: 724

Carte tipărită la comandă

Livrare economică 29 mai-12 iunie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9781572304826
ISBN-10: 1572304820
Pagini: 202
Ilustrații: figures, diagrams, glossaries
Dimensiuni: 152 x 229 x 23 mm
Greutate: 0.1 kg
Ediția:New.
Editura: Guilford Publications
Colecția Guilford Press
Seria Methodology in the Social Sciences

Public țintă

Postgraduate and Professional Practice & Development

De ce să citești această carte

Recomandăm această carte cercetătorilor și studenților la masterat sau doctorat care doresc să își protejeze studiile împotriva erorilor de interpretare statistică. A Primer on Regression Artifacts oferă o claritate rară asupra unui fenomen complex, ajutându-vă să distingeți între efectele reale ale unei intervenții și fluctuațiile statistice naturale. Veți câștiga rigoare metodologică prin diagrame accesibile și exemple concrete, esențiale pentru o evaluare corectă a programelor sociale sau educaționale.

Despre autor

Donald T. Campbell (1916–1996) a fost un psiholog și sociolog de renume mondial, profesor la Lehigh University și membru al Academiei Naționale de Științe din SUA. Este recunoscut pentru dezvoltarea conceptelor de validitate internă și externă și pentru promovarea cvasi-experimentării. David A. Kenny este un expert în psihologie socială și metodologie, cunoscut pentru contribuțiile sale în analiza medierii și moderării. Împreună, autorii reprezintă standardul de aur în metodologia științelor comportamentale, munca lor fiind onorată anual prin premii de excelență în cercetare.

Cuprins

Contents
1. Graphical Introduction
2. Mathematical and Special Cases
3. Regression Artifacts Due to Extreme Group Selection
4. Regression Artifacts Due to Matching
5. Regression Artifacts Due to Statistical Equating
6. Regression Artifacts in Change Scores
7. Regression Artifacts in Time-Series Studies
8. Regression Artifacts in Longitudinal Studies
9. Cross-Lagged Panel Correlation Analysis
10. Conclusion
Glossary of Terms
Glossary of Symbols
Appendix A. Dice-Rolling Program and Data Sets Used as Illustrations
Appendix B. The Computation of Autocorrelations

Notă biografică

Donald T. Campbell, PhD, before his death in 1996 was University Professor of Social Relations, Psychology, and Education at Lehigh University. He had previously taught at Ohio State University, the University of Chicago, Northwestern University, and Syracuse University. He was a member of the National Academy of Sciences and a President of the American Psychological Association. He was the recipient of 9 honorary doctorates.

David A. Kenny, PhD, is Professor of Social Psychology at the University of Connecticut. He has been a visiting professor at Oxford University and Arizona State University, and was a Fellow at the Center for Advanced Study in the Behavioral Sciences.

Recenzii

"In a world that calls attention to extremes, both good and bad, it is critical that social scientists fully understand regression effects. Campbell and Kenny have produced a book on this topic that is destined to be a classic. Ideally suited for graduate students in the social sciences and for nonexperimental researchers, the book is comprehensive and accessible. These well known methodologists tell us how regression effects have fooled experts in psychology, education, and biology, and they explain clearly how the effects can be identified using graphical and statistical tools. Producers as well as critical consumers of empirical information will want this text on their shelves." --Patrick E. Shrout, PhD, Professor of Psychology, New York University

"Elegant and concise....If you are a novice in the topic, you will become an expert by reading A Primer on Regression Artifacts. If you are already an expert, you will learn things you will be surprised you did not already know. In either case, you will find that the authors meet you more than halfway; they guide your inquiry with ample encouragement, engaging illustrations, and good humor....It is hard to imagine a duo that is more capable of making comprehensible a challenging methodological topic." --From the Foreword by Charles S. Reichardt, PhD, University of Denver

"A Primer on Regression Artifacts is a valuable addition to the literature. The volume not only lays bare most of the secrets of regression toward the mean; it also explores correlation in general with great enthusiasm. In a most appropriate arena, this book further extends the vast legacy of the inimitable Donald T. Campbell. I will recommend it to advanced undergraduates, graduate students, and, most certainly, to my faculty colleagues in the behavioral and social sciences." --John R. Nesselroade, PhD, Hugh Scott Hamilton Professor of Psychology, University of Virginia

"This important and useful volume brings together two of our greatest methodologists to tackle one of the thorniest methodological problems in the behavioral sciences. Using interesting examples from research and everyday life, Campbell and Kenny illustrate the diverse contexts in which regression to the mean can arise, and offer suggestions for minimizing its occurrence. Graduate students will find that the book's liberal use of new graphical illustrations makes this normally difficult material wonderfully accessible; established researchers will gain a new and deeper understanding of this classic problem in the study of change." --Stephen G. West, PhD, Department of Psychology, Arizona State University, Tempe, Arizona
-
All mental health researchers must read this book, which definitely explores a vital topic. It is a magnificent concluding collaboration between Kenny and the late Campbell, the 20th century's foremost behavioral science methodologist.
--Readings, 12/13/2002

Descriere

Regression toward the mean is a complex statistical principle that plays a crucial role in any research involving the measurement of change. This primer is designed to help researchers more fully understand this phenomenon and avoid common errors in interpretation. The book presents new methods of graphing regression toward the mean, facilitating comprehension with a wealth of figures and diagrams. Special attention is given to applications related to program or treatment evaluation. Numerous concrete examples illustrate the ways researchers all too often attribute effects to an intervention or other causal variable without considering regression artifacts as an alternative explanation for change. Also discussed are instances when problems are actually created, instead of solved, by ""correction"" for regression toward the mean. Throughout, the authors strive to use nontechnical language and to keep simulations and formulas as accessible as possible.