Quasi-experimentation :: a guide to design and analysis /
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York :
Guilford Publications,
[2019]
|
| Schriftenreihe: | Methodology in the social sciences.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 6.3.1 History (Including Co-Occurring Treatments) |
| Beschreibung: | 1 online resource (xix, 361 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and indexes. |
| ISBN: | 9781462540235 1462540236 |
Internformat
MARC
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| 245 | 1 | 0 | |a Quasi-experimentation : |b a guide to design and analysis / |c Charles S. Reichardt. |
| 264 | 1 | |a New York : |b Guilford Publications, |c [2019] | |
| 264 | 4 | |c ©2019 | |
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| 504 | |a Includes bibliographical references and indexes. | ||
| 505 | 0 | |a Cover; Half Title Page; Series Page; Title Page; Copyright; Dedication; Series Editor's Note; Preface; Contents; 1. Introduction; Overview; 1.1 Introduction; 1.2 The Definition of Quasi-Experiment; 1.3 Why Study Quasi-Experiments?; 1.4 Overview of the Volume; 1.5 Conclusions; 1.6 Suggested Reading; 2. Cause and Effect; Overview; 2.1 Introduction; 2.2 Practical Comparisons and Confounds; 2.3 The Counterfactual Definition; 2.4 The Stable-Unit-Treatment-Value Assumption; 2.5 The Causal Question Being Addressed; 2.6 Conventions; 2.7 Conclusions; 2.8 Suggested Reading; 3. Threats to Validity | |
| 505 | 8 | |a Overview3.1 Introduction; 3.2 The Size of an Effect; 3.2.1 Cause; 3.2.2 Participant; 3.2.3 Time; 3.2.4 Setting; 3.2.5 Outcome Measure; 3.2.6 The Causal Function; 3.3 Construct Validity; 3.3.1 Cause; 3.3.2 Participant; 3.3.3 Time; 3.3.4 Setting; 3.3.5 Outcome Measure; 3.3.6 Taking Account of Threats to Construct Validity; 3.4 Internal Validity; 3.4.1 Participant; 3.4.2 Time; 3.4.3 Setting; 3.4.4 Outcome Measure; 3.5 Statistical Conclusion Validity; 3.6 External Validity; 3.6.1 Cause; 3.6.2 Participant; 3.6.3 Time; 3.6.4 Setting; 3.6.5 Outcome Measure; 3.6.6 Achieving External Validity | |
| 505 | 8 | |a 3.7 Trade-Offs among Types of Validity3.8 A Focus on Internal and Statistical Conclusion Validity; 3.9 Conclusions; 3.10 Suggested Reading; 4. Randomized Experiments; Overview; 4.1 Introduction; 4.2 Between-Groups Randomized Experiments; 4.3 Examples of Randomized Experiments Conducted in the Field; 4.4 Selection Differences; 4.5 Analysis of Data from the Posttest-Only Randomized Experiment; 4.6 Analysis of Data from the Pretest-Posttest Randomized Experiment; 4.6.1 The Basic ANCOVA Model; 4.6.2 The Linear Interaction ANCOVA Model; 4.6.3 The Quadratic ANCOVA Model; 4.6.4 Blocking and Matching | |
| 505 | 8 | |a 4.7 Noncompliance with Treatment Assignment4.7.1 Treatment-as-Received Analysis; 4.7.2 Per-Protocol Analysis; 4.7.3 Intention-to-Treat or Treatment-as-Assigned Analysis; 4.7.4 Complier Average Causal Effect; 4.7.5 Randomized Encouragement Designs; 4.8 Missing Data and Attrition; 4.8.1 Three Types of Missing Data; 4.8.2 Three Best Practices; 4.8.3 A Conditionally Acceptable Method; 4.8.4 Unacceptable Methods; 4.8.5 Conclusions about Missing Data; 4.9 Cluster-Randomized Experiments; 4.9.1 Advantages of Cluster Designs; 4.9.2 Hierarchical Analysis of Data from Cluster Designs | |
| 505 | 8 | |a 4.9.3 Precision and Power of Cluster Designs4.9.4 Blocking and ANCOVA in Cluster Designs; 4.9.5 Nonhierarchical Analysis of Data from Cluster Designs; 4.10 Other Threats to Validity in Randomized Experiments; 4.11 Strengths and Weaknesses; 4.12 Conclusions; 4.13 Suggested Reading; 5. One-Group Posttest-Only Designs; Overview; 5.1 Introduction; 5.2 Examples of One-Group Posttest-Only Designs; 5.3 Strengths and Weaknesses; 5.4 Conclusions; 5.5 Suggested Reading; 6. Pretest-Posttest Designs; Overview; 6.1 Introduction; 6.2 Examples of Pretest-Posttest Designs; 6.3 Threats to Internal Validity | |
| 500 | |a 6.3.1 History (Including Co-Occurring Treatments) | ||
| 650 | 0 | |a Social sciences |x Experiments. |0 http://id.loc.gov/authorities/subjects/sh85124008 | |
| 650 | 0 | |a Social sciences |x Methodology. |0 http://id.loc.gov/authorities/subjects/sh85124011 | |
| 650 | 0 | |a Experimental design. |0 http://id.loc.gov/authorities/subjects/sh85046441 | |
| 650 | 2 | |a Research Design |0 https://id.nlm.nih.gov/mesh/D012107 | |
| 650 | 6 | |a Plan d'expérience. | |
| 650 | 7 | |a Experimental design |2 fast | |
| 650 | 7 | |a Social sciences |x Experiments |2 fast | |
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| 700 | 1 | |a Little, Todd D., |e editor. |0 http://id.loc.gov/authorities/names/n97015682 | |
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| contents | Cover; Half Title Page; Series Page; Title Page; Copyright; Dedication; Series Editor's Note; Preface; Contents; 1. Introduction; Overview; 1.1 Introduction; 1.2 The Definition of Quasi-Experiment; 1.3 Why Study Quasi-Experiments?; 1.4 Overview of the Volume; 1.5 Conclusions; 1.6 Suggested Reading; 2. Cause and Effect; Overview; 2.1 Introduction; 2.2 Practical Comparisons and Confounds; 2.3 The Counterfactual Definition; 2.4 The Stable-Unit-Treatment-Value Assumption; 2.5 The Causal Question Being Addressed; 2.6 Conventions; 2.7 Conclusions; 2.8 Suggested Reading; 3. Threats to Validity Overview3.1 Introduction; 3.2 The Size of an Effect; 3.2.1 Cause; 3.2.2 Participant; 3.2.3 Time; 3.2.4 Setting; 3.2.5 Outcome Measure; 3.2.6 The Causal Function; 3.3 Construct Validity; 3.3.1 Cause; 3.3.2 Participant; 3.3.3 Time; 3.3.4 Setting; 3.3.5 Outcome Measure; 3.3.6 Taking Account of Threats to Construct Validity; 3.4 Internal Validity; 3.4.1 Participant; 3.4.2 Time; 3.4.3 Setting; 3.4.4 Outcome Measure; 3.5 Statistical Conclusion Validity; 3.6 External Validity; 3.6.1 Cause; 3.6.2 Participant; 3.6.3 Time; 3.6.4 Setting; 3.6.5 Outcome Measure; 3.6.6 Achieving External Validity 3.7 Trade-Offs among Types of Validity3.8 A Focus on Internal and Statistical Conclusion Validity; 3.9 Conclusions; 3.10 Suggested Reading; 4. Randomized Experiments; Overview; 4.1 Introduction; 4.2 Between-Groups Randomized Experiments; 4.3 Examples of Randomized Experiments Conducted in the Field; 4.4 Selection Differences; 4.5 Analysis of Data from the Posttest-Only Randomized Experiment; 4.6 Analysis of Data from the Pretest-Posttest Randomized Experiment; 4.6.1 The Basic ANCOVA Model; 4.6.2 The Linear Interaction ANCOVA Model; 4.6.3 The Quadratic ANCOVA Model; 4.6.4 Blocking and Matching 4.7 Noncompliance with Treatment Assignment4.7.1 Treatment-as-Received Analysis; 4.7.2 Per-Protocol Analysis; 4.7.3 Intention-to-Treat or Treatment-as-Assigned Analysis; 4.7.4 Complier Average Causal Effect; 4.7.5 Randomized Encouragement Designs; 4.8 Missing Data and Attrition; 4.8.1 Three Types of Missing Data; 4.8.2 Three Best Practices; 4.8.3 A Conditionally Acceptable Method; 4.8.4 Unacceptable Methods; 4.8.5 Conclusions about Missing Data; 4.9 Cluster-Randomized Experiments; 4.9.1 Advantages of Cluster Designs; 4.9.2 Hierarchical Analysis of Data from Cluster Designs 4.9.3 Precision and Power of Cluster Designs4.9.4 Blocking and ANCOVA in Cluster Designs; 4.9.5 Nonhierarchical Analysis of Data from Cluster Designs; 4.10 Other Threats to Validity in Randomized Experiments; 4.11 Strengths and Weaknesses; 4.12 Conclusions; 4.13 Suggested Reading; 5. One-Group Posttest-Only Designs; Overview; 5.1 Introduction; 5.2 Examples of One-Group Posttest-Only Designs; 5.3 Strengths and Weaknesses; 5.4 Conclusions; 5.5 Suggested Reading; 6. Pretest-Posttest Designs; Overview; 6.1 Introduction; 6.2 Examples of Pretest-Posttest Designs; 6.3 Threats to Internal Validity |
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| indexdate | 2024-11-27T13:29:33Z |
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| record_format | marc |
| series | Methodology in the social sciences. |
| series2 | Methodology in the Social Sciences Ser. |
| spelling | Reichardt, Charles S., author. http://id.loc.gov/authorities/names/n79097969 Quasi-experimentation : a guide to design and analysis / Charles S. Reichardt. New York : Guilford Publications, [2019] ©2019 1 online resource (xix, 361 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Methodology in the Social Sciences Ser. Print version record. Includes bibliographical references and indexes. Cover; Half Title Page; Series Page; Title Page; Copyright; Dedication; Series Editor's Note; Preface; Contents; 1. Introduction; Overview; 1.1 Introduction; 1.2 The Definition of Quasi-Experiment; 1.3 Why Study Quasi-Experiments?; 1.4 Overview of the Volume; 1.5 Conclusions; 1.6 Suggested Reading; 2. Cause and Effect; Overview; 2.1 Introduction; 2.2 Practical Comparisons and Confounds; 2.3 The Counterfactual Definition; 2.4 The Stable-Unit-Treatment-Value Assumption; 2.5 The Causal Question Being Addressed; 2.6 Conventions; 2.7 Conclusions; 2.8 Suggested Reading; 3. Threats to Validity Overview3.1 Introduction; 3.2 The Size of an Effect; 3.2.1 Cause; 3.2.2 Participant; 3.2.3 Time; 3.2.4 Setting; 3.2.5 Outcome Measure; 3.2.6 The Causal Function; 3.3 Construct Validity; 3.3.1 Cause; 3.3.2 Participant; 3.3.3 Time; 3.3.4 Setting; 3.3.5 Outcome Measure; 3.3.6 Taking Account of Threats to Construct Validity; 3.4 Internal Validity; 3.4.1 Participant; 3.4.2 Time; 3.4.3 Setting; 3.4.4 Outcome Measure; 3.5 Statistical Conclusion Validity; 3.6 External Validity; 3.6.1 Cause; 3.6.2 Participant; 3.6.3 Time; 3.6.4 Setting; 3.6.5 Outcome Measure; 3.6.6 Achieving External Validity 3.7 Trade-Offs among Types of Validity3.8 A Focus on Internal and Statistical Conclusion Validity; 3.9 Conclusions; 3.10 Suggested Reading; 4. Randomized Experiments; Overview; 4.1 Introduction; 4.2 Between-Groups Randomized Experiments; 4.3 Examples of Randomized Experiments Conducted in the Field; 4.4 Selection Differences; 4.5 Analysis of Data from the Posttest-Only Randomized Experiment; 4.6 Analysis of Data from the Pretest-Posttest Randomized Experiment; 4.6.1 The Basic ANCOVA Model; 4.6.2 The Linear Interaction ANCOVA Model; 4.6.3 The Quadratic ANCOVA Model; 4.6.4 Blocking and Matching 4.7 Noncompliance with Treatment Assignment4.7.1 Treatment-as-Received Analysis; 4.7.2 Per-Protocol Analysis; 4.7.3 Intention-to-Treat or Treatment-as-Assigned Analysis; 4.7.4 Complier Average Causal Effect; 4.7.5 Randomized Encouragement Designs; 4.8 Missing Data and Attrition; 4.8.1 Three Types of Missing Data; 4.8.2 Three Best Practices; 4.8.3 A Conditionally Acceptable Method; 4.8.4 Unacceptable Methods; 4.8.5 Conclusions about Missing Data; 4.9 Cluster-Randomized Experiments; 4.9.1 Advantages of Cluster Designs; 4.9.2 Hierarchical Analysis of Data from Cluster Designs 4.9.3 Precision and Power of Cluster Designs4.9.4 Blocking and ANCOVA in Cluster Designs; 4.9.5 Nonhierarchical Analysis of Data from Cluster Designs; 4.10 Other Threats to Validity in Randomized Experiments; 4.11 Strengths and Weaknesses; 4.12 Conclusions; 4.13 Suggested Reading; 5. One-Group Posttest-Only Designs; Overview; 5.1 Introduction; 5.2 Examples of One-Group Posttest-Only Designs; 5.3 Strengths and Weaknesses; 5.4 Conclusions; 5.5 Suggested Reading; 6. Pretest-Posttest Designs; Overview; 6.1 Introduction; 6.2 Examples of Pretest-Posttest Designs; 6.3 Threats to Internal Validity 6.3.1 History (Including Co-Occurring Treatments) Social sciences Experiments. http://id.loc.gov/authorities/subjects/sh85124008 Social sciences Methodology. http://id.loc.gov/authorities/subjects/sh85124011 Experimental design. http://id.loc.gov/authorities/subjects/sh85046441 Research Design https://id.nlm.nih.gov/mesh/D012107 Plan d'expérience. Experimental design fast Social sciences Experiments fast Social sciences Methodology fast Little, Todd D., editor. http://id.loc.gov/authorities/names/n97015682 has work: Quasi-experimentation (Text) https://id.oclc.org/worldcat/entity/E39PCFMqd4mTcmgV9p8Jp8KRPP https://id.oclc.org/worldcat/ontology/hasWork Print version: Reichardt, Charles S. Quasi-Experimentation : A Guide to Design and Analysis. New York : Guilford Publications, ©2019 9781462540259 Methodology in the social sciences. http://id.loc.gov/authorities/names/n97116200 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2093009 Volltext |
| spellingShingle | Reichardt, Charles S. Quasi-experimentation : a guide to design and analysis / Methodology in the social sciences. Cover; Half Title Page; Series Page; Title Page; Copyright; Dedication; Series Editor's Note; Preface; Contents; 1. Introduction; Overview; 1.1 Introduction; 1.2 The Definition of Quasi-Experiment; 1.3 Why Study Quasi-Experiments?; 1.4 Overview of the Volume; 1.5 Conclusions; 1.6 Suggested Reading; 2. Cause and Effect; Overview; 2.1 Introduction; 2.2 Practical Comparisons and Confounds; 2.3 The Counterfactual Definition; 2.4 The Stable-Unit-Treatment-Value Assumption; 2.5 The Causal Question Being Addressed; 2.6 Conventions; 2.7 Conclusions; 2.8 Suggested Reading; 3. Threats to Validity Overview3.1 Introduction; 3.2 The Size of an Effect; 3.2.1 Cause; 3.2.2 Participant; 3.2.3 Time; 3.2.4 Setting; 3.2.5 Outcome Measure; 3.2.6 The Causal Function; 3.3 Construct Validity; 3.3.1 Cause; 3.3.2 Participant; 3.3.3 Time; 3.3.4 Setting; 3.3.5 Outcome Measure; 3.3.6 Taking Account of Threats to Construct Validity; 3.4 Internal Validity; 3.4.1 Participant; 3.4.2 Time; 3.4.3 Setting; 3.4.4 Outcome Measure; 3.5 Statistical Conclusion Validity; 3.6 External Validity; 3.6.1 Cause; 3.6.2 Participant; 3.6.3 Time; 3.6.4 Setting; 3.6.5 Outcome Measure; 3.6.6 Achieving External Validity 3.7 Trade-Offs among Types of Validity3.8 A Focus on Internal and Statistical Conclusion Validity; 3.9 Conclusions; 3.10 Suggested Reading; 4. Randomized Experiments; Overview; 4.1 Introduction; 4.2 Between-Groups Randomized Experiments; 4.3 Examples of Randomized Experiments Conducted in the Field; 4.4 Selection Differences; 4.5 Analysis of Data from the Posttest-Only Randomized Experiment; 4.6 Analysis of Data from the Pretest-Posttest Randomized Experiment; 4.6.1 The Basic ANCOVA Model; 4.6.2 The Linear Interaction ANCOVA Model; 4.6.3 The Quadratic ANCOVA Model; 4.6.4 Blocking and Matching 4.7 Noncompliance with Treatment Assignment4.7.1 Treatment-as-Received Analysis; 4.7.2 Per-Protocol Analysis; 4.7.3 Intention-to-Treat or Treatment-as-Assigned Analysis; 4.7.4 Complier Average Causal Effect; 4.7.5 Randomized Encouragement Designs; 4.8 Missing Data and Attrition; 4.8.1 Three Types of Missing Data; 4.8.2 Three Best Practices; 4.8.3 A Conditionally Acceptable Method; 4.8.4 Unacceptable Methods; 4.8.5 Conclusions about Missing Data; 4.9 Cluster-Randomized Experiments; 4.9.1 Advantages of Cluster Designs; 4.9.2 Hierarchical Analysis of Data from Cluster Designs 4.9.3 Precision and Power of Cluster Designs4.9.4 Blocking and ANCOVA in Cluster Designs; 4.9.5 Nonhierarchical Analysis of Data from Cluster Designs; 4.10 Other Threats to Validity in Randomized Experiments; 4.11 Strengths and Weaknesses; 4.12 Conclusions; 4.13 Suggested Reading; 5. One-Group Posttest-Only Designs; Overview; 5.1 Introduction; 5.2 Examples of One-Group Posttest-Only Designs; 5.3 Strengths and Weaknesses; 5.4 Conclusions; 5.5 Suggested Reading; 6. Pretest-Posttest Designs; Overview; 6.1 Introduction; 6.2 Examples of Pretest-Posttest Designs; 6.3 Threats to Internal Validity Social sciences Experiments. http://id.loc.gov/authorities/subjects/sh85124008 Social sciences Methodology. http://id.loc.gov/authorities/subjects/sh85124011 Experimental design. http://id.loc.gov/authorities/subjects/sh85046441 Research Design https://id.nlm.nih.gov/mesh/D012107 Plan d'expérience. Experimental design fast Social sciences Experiments fast Social sciences Methodology fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85124008 http://id.loc.gov/authorities/subjects/sh85124011 http://id.loc.gov/authorities/subjects/sh85046441 https://id.nlm.nih.gov/mesh/D012107 |
| title | Quasi-experimentation : a guide to design and analysis / |
| title_auth | Quasi-experimentation : a guide to design and analysis / |
| title_exact_search | Quasi-experimentation : a guide to design and analysis / |
| title_full | Quasi-experimentation : a guide to design and analysis / Charles S. Reichardt. |
| title_fullStr | Quasi-experimentation : a guide to design and analysis / Charles S. Reichardt. |
| title_full_unstemmed | Quasi-experimentation : a guide to design and analysis / Charles S. Reichardt. |
| title_short | Quasi-experimentation : |
| title_sort | quasi experimentation a guide to design and analysis |
| title_sub | a guide to design and analysis / |
| topic | Social sciences Experiments. http://id.loc.gov/authorities/subjects/sh85124008 Social sciences Methodology. http://id.loc.gov/authorities/subjects/sh85124011 Experimental design. http://id.loc.gov/authorities/subjects/sh85046441 Research Design https://id.nlm.nih.gov/mesh/D012107 Plan d'expérience. Experimental design fast Social sciences Experiments fast Social sciences Methodology fast |
| topic_facet | Social sciences Experiments. Social sciences Methodology. Experimental design. Research Design Plan d'expérience. Experimental design Social sciences Experiments Social sciences Methodology |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2093009 |
| work_keys_str_mv | AT reichardtcharless quasiexperimentationaguidetodesignandanalysis AT littletoddd quasiexperimentationaguidetodesignandanalysis |