Experimental and Quasi Experimental Designs for Research

Experimental and Quasi Experimental Designs for Research

  • Publisher : Ravenio Books
  • Author : Donald T. Campbell
  • ISBN-10 :
  • Release : 2015-09-03
  • Genre: Psychology
  • Download/Read : 84
  • Price : FREE
E-book Explanation:

We shall examine the validity of 16 experimental designs against 12 common threats to valid inference. By experiment we refer to that portion of research in which variables are manipulated and their effects upon other variables observed. It is well to distinguish the particular role of this chapter. It is not a chapter on experimental design in the Fisher (1925, 1935) tradition, in which an experimenter having complete mastery can schedule treatments and measurements for optimal statistical efficiency, with complexity of design emerging only from that goal of efficiency. Insofar as the designs discussed in the present chapter become complex, it is because of the intransigency of the environment: because, that is, of the experimenter’s lack of complete control.

Experimental and Quasi experimental Designs for Generalized Causal Inference

Experimental and Quasi experimental Designs for Generalized Causal Inference

  • Publisher : Wadsworth Publishing Company
  • Author : WS. SHADISH
  • ISBN-10 : UOM:39015061304716
  • Release : 2002
  • Genre: Psychology
  • Download/Read : 623
  • Price : FREE
E-book Explanation:

Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions.

Quasi Experimental Research Designs

Quasi Experimental Research Designs

  • Publisher : Oxford University Press
  • Author : Bruce A. Thyer
  • ISBN-10 : 9780195387384
  • Release : 2012-02-16
  • Genre: Social Science
  • Download/Read : 203
  • Price : FREE
E-book Explanation:

This pocket guide describes the logic, design, and conduct of the range of such designs, encompassing pre-experiments, quasi-experiments making use of a control or comparison group, and time-series designs. While it can be utilized as a manual, this book is also valuable for practitioners seeking a greater conceptual understanding of quasi-experimental studies in social work literature. Human service professionals planning to undertake a program evaluation of their agency's services will find this book helpful in understanding the steps and actions needed to adopt a quasi-experimental strategy.

Experimental and Quasi experimental Designs for Generalized Causal Inference

Experimental and Quasi experimental Designs for Generalized Causal Inference

  • Publisher :
  • Author : William R. Shadish
  • ISBN-10 : 0395307872
  • Release : 2002
  • Genre: Analysis of variance
  • Download/Read : 623
  • Price : FREE
E-book Explanation:

This 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: Theoretical matters: Experimentation, causation, and validity ; Quasi-experimental design: Regression discontinuity designs, interrupted time series designs, quasi-experimental designs that use both pretests and control groups, and other designs ; Randomized experiments: Logic and design issues, and practical problems involving ethics, recruitment, assignment, treatment implementation, and attrition ; Generalized causal inference: A grounded theory of generalized causal inference, along with methods for implementing that theory in single and multiple studies.

Using Propensity Scores in Quasi Experimental Designs

Using Propensity Scores in Quasi Experimental Designs

  • Publisher : SAGE Publications
  • Author : William M. Holmes
  • ISBN-10 : 9781483310817
  • Release : 2013-06-10
  • Genre: Social Science
  • Download/Read : 360
  • Price : FREE
E-book Explanation:

Using Propensity Scores in Quasi-Experimental Designs, by William M. Holmes, examines how propensity scores can be used to reduce bias with different kinds of quasi-experimental designs and to fix or improve broken experiments. Requiring minimal use of matrix and vector algebra, the book covers the causal assumptions of propensity score estimates and their many uses, linking these uses with analysis appropriate for different designs. Thorough coverage of bias assessment, propensity score estimation, and estimate improvement is provided, along with graphical and statistical methods for this process. Applications are included for analysis of variance and covariance, maximum likelihood and logistic regression, two-stage least squares, generalized linear regression, and general estimation equations. The examples use public data sets that have policy and programmatic relevance across a variety of disciplines.

Advances in Quasi Experimental Design and Analysis

Advances in Quasi Experimental Design and Analysis

  • Publisher : Jossey-Bass
  • Author : William M. K. Trochim
  • ISBN-10 : UOM:49015002453216
  • Release : 1986-11-04
  • Genre: Psychology
  • Download/Read : 113
  • Price : FREE
E-book Explanation:

The intent of this volume of New Directions for Program Evaluation is to update, even to alter, our thinking about quasi-experimentation in applied social research and program evaluation. This volume makes the case that we have moved beyond the traditional thinking on quasi-experiments as a collection of specific designs and threats to validity toward a more integrated, synthetic view of quasi-experimentation as part of a general logical epistemological framework for research. This is the 31st issue of New Directions for Program Evaluation. For more information on the series, please see the Journals and Periodicals page.