Experimental and Quasi-Experimental Designs for Generalized...

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Experimental and Quasi-Experimental Designs for Generalized Causal Inference

William R. Shadish, Thomas D. Cook, Donald Thomas Campbell

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როგორ მოგეწონათ ეს წიგნი?

როგორი ხარისხისაა ეს ფაილი?

ჩატვირთეთ, ხარისხის შესაფასებლად

როგორი ხარისხისაა ჩატვირთული ფაილი?

This long awaited successor of the original Cook/Campbell Quasi-Experimentation: Design and Analysis Issues for Field Settings represents updates in the field over the last two decades. The book covers four major topics in field experimentation:

კატეგორია:

Society, Politics & Philosophy - Anthropology

წელი:

2002

გამოცემა:

3

გამომცემლობა:

Houghton Mifflin Company

ენა:

english

გვერდები:

623

ISBN 10:

0395615569

ISBN 13:

9780395615560

ფაილი:

PDF, 21.32 MB

IPFS:

,

english, 2002

ონლაინ წაკითხვა

ხორციელდება კონვერტაციის -ში

კონვერტაციის -ში ვერ მოხერხდა

შესაძლოა დაგაინტერესოთ

Harris Cooper — Reporting Quantitative Research in Psychology: How to Meet APA Style Journal Article Reporting Standards

Miguel A. Hernán, James M. Robins — Causal Inference: What If

Shadish, Cook, and Campbell — Experimental and Quasi-Experimental Design for Generalized Causal Inference

Judea Pearl — An Introduction to Causal Inference

Hernán M. A., Robins J. M. — Causal inference

Geoffrey Keppel Professor Emeritus, Thomas D. Wickens — Design and Analysis: A Researcher's Handbook

Bartos, Bradley J.; McCleary, Richard; McDowall, David — Design and analysis of time series experiments

Graeme D. Ruxton, Nick Colegrave — Experimental Design for the Life Sciences

Herve Abdi, Betty Edelman, Dominique Valentin, W. Jay Dowling — Experimental Design and Analysis for Psychology

Tyler VanderWeele — Explanation in Causal Inference: Methods for Mediation and Interaction

Richard J. Murnane, John B. Willett — Methods Matter: Improving Causal Inference in Educational and Social Science Research

Joseph Y. Halpern — Actual Causality

Jonas Peters, Dominik Janzing, Bernhard Schölkopf — Elements of Causal Inference: Foundations and Learning Algorithms

Scott Cunningham — Causal Inference: The Mixtape

Babette A. Brumback, Babette A. — Fundamentals of Causal Inference with R

Donald T. (Donald T. Campbell) Campbell, Julian Stanley — Experimental and Quasi-Experimental Designs for Research

William R. Shadish, Thomas D. Cook, Donald T. Campbell — Experimental and Quasi-Experimental Designs for Generalized Causal Inference

Klaus Hinkelmann, Oscar Kempthorne — Design and Analysis of Experiments, Volume 1

Thomas P. Ryan — Modern Experimental Design

Klaus Hinkelmann, Oscar Kempthorne — Design and Analysis of Experiments, Advanced Experimental Design (Wiley Series in Probability and Statistics) (Volume 2)

George E. P. Box, J. Stuart Hunter, William G. Hunter — Statistics for Experimenters: Design, Innovation, and Discovery, Second Edition

Anne Myers, Christine Hansen — Experimental Psychology

Stephen L. Morgan, Christopher Winship — Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)

David A. Freedman; David Collier, Jasjeet S. Sekhon, Philip B. Stark (Editors) — Statistical Models and Causal Inference: A Dialogue with the Social Sciences

Pearl, Judea — Causality: models, reasoning, and inference, 2e

Guido W. Imbens, Donald B. Rubin — Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction

Judea Pearl — Causality: Models, Reasoning and Inference

Paul R. Rosenbaum — Observation and Experiment: An Introduction to Causal Inference

Joshua D. Angrist, Jorn-Steffen Pischke — Mostly Harmless Econometrics: An Empiricist's Companion

Andy Field, Dr Graham J Hole — How to Design and Report Experiments

Jacob Cohen, Patricia Cohen, Stephen G. West, Leona S. Aiken — Applied Multiple Regression-Correlation Analysis for the Behavioral Sciences, 3rd Edition

Harris Cooper, Larry V. Hedges, Jeffrey C. Valentine — The Handbook of Research Synthesis and Meta-Analysis

Elazar J. Pedhazur, Liora Pedhazur Schmelkin — Measurement, Design, and Analysis: An Integrated Approach

NICK. HUNTINGTON-KLEIN — The Effect: An Introduction to Research Design and Causality

John W. Creswell, David J. Creswell — Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 6e (ePub Convert)

Samantha Kleinberg — Causality, Probability, and Time

Markus Frölich, Stefan Sperlich — Impact Evaluation: Treatment Effects and Causal Analysis

Stephen Morgan, Christopher Winship — Counterfactuals and Causal Inference: Methods and Principles for Social Research

Robert G. Easterling — Fundamentals of Statistical Experimental Design and Analysis

Mick P. Couper, Graham Kalton, Lars Lyberg, J. N. K. Rao, Norbert Schwarz, Christopher Skinner — Experimental Methods in Survey Research

Xiong, Momiao — Big data in omics and imaging. Integrated analysis and causal inference

Neil J. Salkind — Encyclopedia of Research Design

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