Quantitative research for the qualitative researcher:
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Los Angeles [u.a.]
Sage
2014
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026809088&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | XXII, 299 S. Ill., graph. Darst. 23 cm |
Internformat
MARC
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Datensatz im Suchindex
| _version_ | 1819347336259698688 |
|---|---|
| adam_text | Titel: Quantitative research for the qualitative researcher
Autor: O Dwyer, Laura M
Jahr: 2014
Detailed Contents
Preface xiv
Section I: Research in the Social Sciences:
Qualitative Meets Quantitative 1
Chapter 1: Understanding the Purpose of Research in the
Qualitative and Quantitative Traditions 3
Chapter Outline 3
What Is Research? 4
What Constitutes Quality Research? 5
Quality Questions in Relation to the Final
Research Summary 16
Problem Finding Versus Problem Solving 17
Qualitative and Quantitative Traditions and the
Paradigm Wars 18
Concluding Remarks 20
Discussion Questions 21
Key Terms 21
Chapter 2: Research in the Qualitative Tradition and
Connections to the Quantitative Tradition 23
Chapter Outline 23
Purpose and Characteristics of Qualitative Research 24
Philosophical Assumptions of Qualitative Research 26
Technical Components of Empirical Inquiry in Qualitative
Research 30
Variables, Research Problems and Questions, and Research
Hypotheses 31
The Design-Measurement-Analysis Triad 31
Strengths and Limitations of Qualitative Research 36
Concluding Remarks 38
Discussion Questions 39
Key Terms 39
Additional Readings in Qualitative Research 41
Chapter 3: Research in the Quantitative Tradition 42
Chapter Outline 42
Purpose and Characteristics of Quantitative Research 43
Philosophical Assumptions of Quantitative Research 45
Technical Components of Empirical Inquiry in
Quantitative Research 48
Variables, Research Problems and Questions, and Research
Hypotheses 48
The Design-Measurement-Analysis Triad 56
Strengths and Limitations of Quantitative Research 63
Connections to Qualitative Research 65
Concluding Remarks 68
Discussion Questions 69
Key Terms 69
Section II: The Sine Qua Non for Conducting Research in
the Quantitative Tradition 73
Chapter 4: Choosing Research Participants and Making
Generalizations: Sampling and External Validity 75
Chapter Outline 75
Sampling: Choosing Participants for Research Studies 76
Probability or Random Sampling Procedures 78
Simple Random Sampling 79
Stratified Random Sampling 80
Cluster Random Sampling and Its Extensions 80
Systematic Sampling 82
Non-Probability or Non-Random Sampling Procedures 82
Convenience Sampling 83
Purposive Sampling 83
Quota Sampling 84
Snowball Sampling 84
Errors Related to Sampling 85
The Question of Sample Size: How Big Should a Sample Be? 86
External Validity: Making Generalizations to Other Participants
and Settings 87
Population Generalizability 88
Ecological Generalizability 89
Connections to Qualitative Research 90
Concluding Remarks 92
Discussion Questions 92
Key Terms 93
Review of Published Research Articles 95
Article 2 (Clayton, 2011) 96
Article 3 (Porfeli, Wang, Audette, McColl, Algozzine, 2009) 96
Article 5 (Van Voorhis, 2011) 97
Chapter 5: Measurement and Instrumentation in
Quantitative Research 98
Chapter Outline 98
What Is Measurement? 99
Measurement Scales 101
Nominal Measurement Scales 102
Ordinal Measurement Scales 102
Interval Measurement Scales 103
Ratio Measurement Scales 104
Common Ways to Collect Data 105
Achievement and Aptitude Tests 105
Questionnaires 107
Observation Protocols 110
Linking Measurement Instruments to the Research
Questions and Hypotheses 111
Establishing the Credibility and Consistency of Measurement
Instruments 113
Instrument Validity 113
Instrument Reliability 119
Connections to Qualitative Research 125
Concluding Remarks 126
Discussion Questions 127
Key Terms 127
Review of Published Research Articles 131
Article 1 (Yang, Cho, Mathew, Worth, 2011) 131
Article 3 (Porfeli, Wang, Audette, McColl,
Algozzine, 2009) 133
Article 6 (Booksh, Pella, Singh, Couvier, 2010) 133
Chapter 6: Minimizing Alternative Explanations for Research
Findings: Internal Validity 135
Chapter Outline 135
Defining Internal Validity 136
Common Threats to Internal Validity 137
Subject Characteristics Threat 138
History Threat 138
Location Threat 139
Maturation Threat 139
Instrumentation Threat 140
Attrition Threat 140
Testing Threat 141
Regression to the Mean Threat 141
The Relationship Between External Validity and Internal
Validity 142
Connections to Qualitative Research 143
Concluding Remarks 144
Discussion Questions 145
Key Terms 145
Review of Published Research Articles 146
Article 1 (Yang, Cho, Mathew, Worth, 2011) 146
Article 5 (Van Voorhis, 2011) 147
Article 6 (Booksh, Pella, Singh, Gouvier, 2010) 148
Section ill: Research Design and Data Analysis in the
Quantitative Tradition 149
Chapter 7: Non-Experimental Research Designs 152
Chapter Outline 152
Essential Characteristics of Non-Experimental Research
Designs 153
Research Objectives: Descriptive, Prediction, and Explanatory
Studies 154
Cross-Sectional, Longitudinal, and Retrospective Studies 158
Steps in Conducting Non-Experimental Research 159
Strengths and Limitations of Non-Experimental Research 161
Threats to External and Internal Validity in Non-Experimental
Research 162
Strengthening the Inferences From Non-Experimental Research
Designs 163
Connections to Qualitative Research 165
Concluding Remarks 166
Discussion Questions 167
Key Terms 167
Review of Published Research Articles 168
Article 2 (Clayton, 2011) 168
Article 3 (Porfeli, Wang, Audette, McColl, Algozzine, 2009) 169
Article 4 (Nunez, Sparks, Hernandez, 2011) 170
Chapter 8: Experimental Research Designs 171
Chapter Outline 171
Essential Characteristics of Experimental Research 172
Quasi-Experimental Between-Subjects Research Designs 175
Steps in Conducting Quasi-Experimental Between-Subjects
Research 176
True Experimental Between-Subjects Research Designs 179
Steps in Conducting True Experimental Between-Subjects
Research 180
Strengths and Limitations of Quasi- and True Experimental
Between-Subjects Research Designs 184
Common Threats to External and Internal Validity
for Quasi- and True Experimental Between-Subjects
Research Designs 185
Connections to Qualitative Research 187
Concluding Remarks 187
Discussion Questions 188
Key Terms 188
Review of Published Research Articles 189
Article 5 (Van Voorhis, 2011) 189
Article 6 (Booksh, Pella, Singh, Gouvier, 2010) 190
Chapter 9: Descriptive Analyses for Data Generated by
Quantitative Research 191
Chapter Outline 191
Fundamentals of Descriptive Analysis 192
Summarizing and Describing Univariate Distributions 193
Frequency Distributions and Grouped Frequency Distributions 193
Visual Representations 194
Measures of Central Tendency 197
Measures of Dispersion or Spread 199
Describing the Shape of Univariate Distributions 202
Measures of Relative Standings on the Normal Distribution 204
Summarizing and Describing Relationships 208
Visual Representations of Relationships 209
Correlation Coefficients for Describing Relationships 211
The Coefficient of Determination for Describing Relationships 213
Regression Analysis for Describing Relationships and Prediction 215
Connections to Qualitative Research 219
Concluding Remarks 220
Discussion Questions 221
Key Terms 221
Review of Published Research Articles 225
Article 1 (Yang, Cho, Mathew, Worth, 2011) 225
Article 2 (Clayton, 2011) 226
Article 3 (Porfeli, Wang, Audette, McColl, Algozzine, 2009) 226
Chapter 10: Inferential Analyses for Data Generated by
Quantitative Research 228
Chapter Outline 228
Fundamentals of Inferential Statistics 229
Sample Statistics and Population Parameters 230
Sampling Distributions 231
Point and Interval Estimation 232
Hypothesis Testing 234
Statistical Decisions, Error, and Power 236
Summary of the Steps for Interval Estimation and Hypothesis
Testing 239
Commonly Used Inferential Tests 240
f-Tests for Comparing Means 240
f-Tests for Correlation Coefficients 244
t-Test for Regression Coefficients 245
One-Way Analysis of Variance 246
Chi-Square Analyses 247
Connections to Qualitative Research 249
Concluding Remarks 251
Discussion Questions 251
Key Terms 252
Review of Published Research Articles 255
Article 1 (Yang, Cho, Mathew, Worth, 2011) 255
Article 2 (Clayton, 2011) 257
Article 3 (Porfeli, Wang, Audette, McColl, Algozzine, 2009) 258
Article 4 (Nunez, Sparks, Hernandez, 2011) 259
Section IV: Reconciling the Paradigms 263
Chapter 11: The Complementary Natures of Quantitative
and Qualitative Research 265
Chapter Outline 265
Complementary Empirical Basis 266
Complementary Systematic Basis 267
Differences as Strengths 268
Mixed Methods 270
The Crystal and the Traditions 273
Final Remarks 276
Appendix: Guidelines for Evaluating Research Summaries 277
References 286
Index 291
About the Authors 299
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| language | English |
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| publisher | Sage |
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| spellingShingle | O'Dwyer, Laura M. Bernauer, James W. 1944- Quantitative research for the qualitative researcher Quantitative research |
| title | Quantitative research for the qualitative researcher |
| title_auth | Quantitative research for the qualitative researcher |
| title_exact_search | Quantitative research for the qualitative researcher |
| title_full | Quantitative research for the qualitative researcher Laura M. O'Dwyer ; James A. Bernauer |
| title_fullStr | Quantitative research for the qualitative researcher Laura M. O'Dwyer ; James A. Bernauer |
| title_full_unstemmed | Quantitative research for the qualitative researcher Laura M. O'Dwyer ; James A. Bernauer |
| title_short | Quantitative research for the qualitative researcher |
| title_sort | quantitative research for the qualitative researcher |
| topic | Quantitative research |
| topic_facet | Quantitative research |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026809088&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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