{"product_id":"design-evaluation-and-analysis-of-questionnaires-for-survey-research-isbn-9781118634615","title":"Design, Evaluation, and Analysis of Questionnaires for Survey Research","description":"\u003cp\u003e\u003cb\u003ePraise for the \u003ci\u003eFirst Edition\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"...this book is quite inspiring, giving many practical ideas for survey research, especially for designing better questionnaires.\"\u003cbr\u003e—\u003ci\u003e\u003cb\u003eInternational Statistical Review\u003c\/b\u003e\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eReflecting modern developments in the field of survey research, the Second Edition of \u003ci\u003eDesign, Evaluation, and Analysis of Questionnaires for Survey Research\u003c\/i\u003e continues to provide cutting-edge analysis of the important decisions researchers make throughout the survey design process.The new edition covers the essential methodologies and statistical tools utilized to create reliable and accurate survey questionnaires, which unveils the relationship between individual question characteristics and overall question quality. Since the First Edition, the computer program Survey Quality Prediction (SQP) has been updated to include new predictions of the quality of survey questions on the basis of analyses of Multi-Trait Multi-Method experiments. The improved program contains over 60,000 questions, with translations in most European languages. Featuring an expanded explanation of the usage and limitations of SQP 2.0, the Second Edition also includes:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eNew practice problems to provide readers with real-world experience in survey research and questionnaire design\u003c\/li\u003e \u003cli\u003eA comprehensive outline of the steps for creating and testing survey questionnaires\u003c\/li\u003e \u003cli\u003eContemporary examples that demonstrate the many pitfalls of questionnaire design and ways to avoid similar decisions\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eDesign, Evaluation, and Analysis of Questionnaires for Survey Research\u003c\/i\u003e, Second Edition is an excellent textbook for upper-undergraduate and graduate-level courses in methodology and research questionnaire planning, as well as an ideal resource for social scientists or survey researchers needing to design, evaluate, and analyze questionnaires.\u003c\/p\u003e \u003cp\u003ePreface to the Second Edition xiii\u003c\/p\u003e \u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003eAcknowledgments xvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIntroduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eI.1 Designing a Survey 4\u003c\/p\u003e \u003cp\u003eI.1.1 Choice of a Topic 4\u003c\/p\u003e \u003cp\u003eI.1.2 Choice of the Most Important Variables 4\u003c\/p\u003e \u003cp\u003eI.1.3 Choice of a Data Collection Method 5\u003c\/p\u003e \u003cp\u003eI.1.4 Choice of Operationalization 6\u003c\/p\u003e \u003cp\u003eI.1.5 Test of the Quality of the Questionnaire 8\u003c\/p\u003e \u003cp\u003eI.1.6 Formulation of the Final Questionnaire 9\u003c\/p\u003e \u003cp\u003eI.1.7 Choice of Population and Sample Design 9\u003c\/p\u003e \u003cp\u003eI.1.8 Decide about the Fieldwork 10\u003c\/p\u003e \u003cp\u003eI.1.9 What We Know about These Decisions 10\u003c\/p\u003e \u003cp\u003eI.1.10 Summary 11\u003c\/p\u003e \u003cp\u003eExercises 12\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I The Three-Step Procedure to Design Requests for Answers 13\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Concepts-by-Postulation and Concepts-by-Intuition 15\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Concepts-by-Intuition and Concepts-by-Postulation 15\u003c\/p\u003e \u003cp\u003e1.2 Different Ways of Defining Concepts-by-Postulation through Concepts-by-Intuition 19\u003c\/p\u003e \u003cp\u003e1.2.1 Job Satisfaction as a Concept-by-Intuition 19\u003c\/p\u003e \u003cp\u003e1.2.2 Job Satisfaction as a Concept-by-Postulation 20\u003c\/p\u003e \u003cp\u003e1.3 Summary 27\u003c\/p\u003e \u003cp\u003eExercises 28\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 From Social Science Concepts-by-Intuition to Assertions 30\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Basic Concepts and Concepts-by-Intuition 31\u003c\/p\u003e \u003cp\u003e2.2 Assertions and Requests for an Answer 32\u003c\/p\u003e \u003cp\u003e2.3 The Basic Elements of Assertions 33\u003c\/p\u003e \u003cp\u003e2.3.1 Indirect Objects as Extensions of Simple Assertions 36\u003c\/p\u003e \u003cp\u003e2.3.2 Adverbials as Extensions of Simple Assertions 37\u003c\/p\u003e \u003cp\u003e2.3.3 Modifiers as Extensions of Simple Assertions 37\u003c\/p\u003e \u003cp\u003e2.3.4 Object Complements as Extensions of Simple Assertions 38\u003c\/p\u003e \u003cp\u003e2.3.5 Some Notation Rules 38\u003c\/p\u003e \u003cp\u003e2.4 Basic Concepts-by-Intuition 39\u003c\/p\u003e \u003cp\u003e2.4.1 Subjective Variables 40\u003c\/p\u003e \u003cp\u003e2.4.2 Objective Variables 47\u003c\/p\u003e \u003cp\u003e2.4.3 In Summary 49\u003c\/p\u003e \u003cp\u003e2.5 Alternative Formulations for the Same Concept 49\u003c\/p\u003e \u003cp\u003e2.6 Extensions of Simple Sentences 51\u003c\/p\u003e \u003cp\u003e2.6.1 Adding Indirect Objects 51\u003c\/p\u003e \u003cp\u003e2.6.2 Adding Modifiers 52\u003c\/p\u003e \u003cp\u003e2.6.3 Adding Adverbials 52\u003c\/p\u003e \u003cp\u003e2.7 Use of Complex Sentences 53\u003c\/p\u003e \u003cp\u003e2.7.1 Complex Sentences with No Shift in Concept 54\u003c\/p\u003e \u003cp\u003e2.7.2 Complex Sentences with a Shift in Concept 54\u003c\/p\u003e \u003cp\u003e2.7.3 Adding Conditions to Complex Sentences 56\u003c\/p\u003e \u003cp\u003e2.8 Summary 56\u003c\/p\u003e \u003cp\u003eExercises 57\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 The Formulation of Requests for an Answer 60\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 From Concepts to Requests for an Answer 61\u003c\/p\u003e \u003cp\u003e3.2 Different Types of Requests for an Answer 63\u003c\/p\u003e \u003cp\u003e3.2.1 Direct Request 63\u003c\/p\u003e \u003cp\u003e3.2.2 Indirect Request 66\u003c\/p\u003e \u003cp\u003e3.3 The Meaning of Requests for an Answer with WH Request Words 69\u003c\/p\u003e \u003cp\u003e3.3.1 “When,” “Where,” and “Why” Requests 70\u003c\/p\u003e \u003cp\u003e3.3.2 “Who” Requests 70\u003c\/p\u003e \u003cp\u003e3.3.3 “Which” Requests 70\u003c\/p\u003e \u003cp\u003e3.3.4 “What” Requests 71\u003c\/p\u003e \u003cp\u003e3.3.5 “How” Requests 72\u003c\/p\u003e \u003cp\u003e3.4 Summary 74\u003c\/p\u003e \u003cp\u003eExercises 75\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Choices Involved in Questionnaire Design 77\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Specific Survey Research Features of Requests for an Answer 79\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Select Requests from Databases 79\u003c\/p\u003e \u003cp\u003e4.2 Other Features Connected with the Research Goal 81\u003c\/p\u003e \u003cp\u003e4.3 Some Problematic Requests 83\u003c\/p\u003e \u003cp\u003e4.3.1 Double-Barreled Requests 83\u003c\/p\u003e \u003cp\u003e4.3.2 Requests with Implicit Assumptions 84\u003c\/p\u003e \u003cp\u003e4.4 Some Prerequests Change the Concept-by-Intuition 85\u003c\/p\u003e \u003cp\u003e4.5 Batteries of Requests for Answers 86\u003c\/p\u003e \u003cp\u003e4.5.1 The Use of Batteries of Stimuli 87\u003c\/p\u003e \u003cp\u003e4.5.2 The Use of Batteries of Statements 88\u003c\/p\u003e \u003cp\u003e4.6 Other Features of Survey Requests 92\u003c\/p\u003e \u003cp\u003e4.6.1 The Formulation of Comparative or Absolute Requests for Answers 92\u003c\/p\u003e \u003cp\u003e4.6.2 Conditional Clauses Specified in Requests for Answers 93\u003c\/p\u003e \u003cp\u003e4.6.3 Balanced or Unbalanced Requests for Answers 93\u003c\/p\u003e \u003cp\u003e4.7 Special Components within the Request 95\u003c\/p\u003e \u003cp\u003e4.7.1 Requests for Answers with Stimulation for an Answer 95\u003c\/p\u003e \u003cp\u003e4.7.2 Emphasizing the Subjective Opinion of the Respondent 95\u003c\/p\u003e \u003cp\u003e4.8 Summary 96\u003c\/p\u003e \u003cp\u003eExercises 96\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Response Alternatives 98\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Open Requests for an Answer 99\u003c\/p\u003e \u003cp\u003e5.2 Closed Categorical Requests 101\u003c\/p\u003e \u003cp\u003e5.2.1 Nominal Categories 103\u003c\/p\u003e \u003cp\u003e5.2.2 Ordinal Scales 104\u003c\/p\u003e \u003cp\u003e5.2.3 Continuous Scales 108\u003c\/p\u003e \u003cp\u003e5.3 How Many Categories are Optimal? 111\u003c\/p\u003e \u003cp\u003e5.4 Summary 112\u003c\/p\u003e \u003cp\u003eExercises 114\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 The Structure of Open-Ended and Closed Survey Items 115\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Description of the Components of Survey Items 115\u003c\/p\u003e \u003cp\u003e6.2 Different Structures of Survey Items 118\u003c\/p\u003e \u003cp\u003e6.2.1 Open-Ended Requests for an Answer 119\u003c\/p\u003e \u003cp\u003e6.2.2 Closed Survey Items 120\u003c\/p\u003e \u003cp\u003e6.2.3 The Frequency of Occurrence 124\u003c\/p\u003e \u003cp\u003e6.2.4 The Complexity of Survey Items 125\u003c\/p\u003e \u003cp\u003e6.3 What Form of Survey Items Should Be Recommended? 126\u003c\/p\u003e \u003cp\u003e6.4 Summary 127\u003c\/p\u003e \u003cp\u003eExercises 128\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Survey Items in Batteries 130\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Batteries in Oral Interviews 131\u003c\/p\u003e \u003cp\u003e7.2 Batteries in Mail Surveys 134\u003c\/p\u003e \u003cp\u003e7.3 Batteries in CASI 138\u003c\/p\u003e \u003cp\u003e7.4 Summary and Discussion 142\u003c\/p\u003e \u003cp\u003eExercises 144\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Mode of Data Collection and Other Choices 146\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 The Choice of the Mode of Data Collection 147\u003c\/p\u003e \u003cp\u003e8.1.1 Relevant Characteristics of the Different Modes 148\u003c\/p\u003e \u003cp\u003e8.1.2 The Presence of the Interviewer 149\u003c\/p\u003e \u003cp\u003e8.1.3 The Mode of Presentation 151\u003c\/p\u003e \u003cp\u003e8.1.4 The Role of the Computer 152\u003c\/p\u003e \u003cp\u003e8.1.5 Procedures without Asking Questions 155\u003c\/p\u003e \u003cp\u003e8.1.6 Mixed-Mode Data Collection 155\u003c\/p\u003e \u003cp\u003e8.2 The Position in the Questionnaire 156\u003c\/p\u003e \u003cp\u003e8.3 The Layout of the Questionnaire 158\u003c\/p\u003e \u003cp\u003e8.4 Differences due to Use of Different Languages 158\u003c\/p\u003e \u003cp\u003e8.5 Summary and Discussion 159\u003c\/p\u003e \u003cp\u003eExercises 160\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Estimation and Prediction of the Quality of Questions 163\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Criteria for the Quality of Survey Measures 165\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Different Methods, Different Results 166\u003c\/p\u003e \u003cp\u003e9.2 How These Differences Can Be Explained 173\u003c\/p\u003e \u003cp\u003e9.2.1 Specifications of Relationships between Variables in General 173\u003c\/p\u003e \u003cp\u003e9.2.2 Specification of Measurement Models 175\u003c\/p\u003e \u003cp\u003e9.3 Quality Criteria for Survey Measures and Their Consequences 178\u003c\/p\u003e \u003cp\u003e9.4 Alternative Criteria for Data Quality 181\u003c\/p\u003e \u003cp\u003e9.4.1 Test–Retest Reliability 181\u003c\/p\u003e \u003cp\u003e9.4.2 The Quasi-simplex Approach 182\u003c\/p\u003e \u003cp\u003e9.4.3 Correlations with Other Variables 183\u003c\/p\u003e \u003cp\u003e9.5 Summary and Discussion 184\u003c\/p\u003e \u003cp\u003eExercises 185\u003c\/p\u003e \u003cp\u003eAppendix 9.1 The Specification of Structural Equation Models 187\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Estimation of Reliability, Validity, and Method Effects 190\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Identification of the Parameters of a Measurement Model 191\u003c\/p\u003e \u003cp\u003e10.2 Estimation of Parameters of Models with Unmeasured Variables 195\u003c\/p\u003e \u003cp\u003e10.3 Estimating Reliability, Validity, and Method Effects 197\u003c\/p\u003e \u003cp\u003e10.4 Summary and Discussion 201\u003c\/p\u003e \u003cp\u003eExercises 202\u003c\/p\u003e \u003cp\u003eAppendix 10.1 Input of Lisrel for Data Analysis of a Classic MTMM Study 205\u003c\/p\u003e \u003cp\u003eAppendix 10.2 Relationship between the TS and the Classic MTMM Model 205\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Split-Ballot Multitrait–Multimethod Designs 208\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 The Split-Ballot MTMM Design 209\u003c\/p\u003e \u003cp\u003e11.1.1 The Two-Group Design 209\u003c\/p\u003e \u003cp\u003e11.1.2 The Three-Group Design 210\u003c\/p\u003e \u003cp\u003e11.1.3 Other SB-MTMM Designs 211\u003c\/p\u003e \u003cp\u003e11.2 Estimating and Testing Models for Split-Ballot MTMM Experiments 212\u003c\/p\u003e \u003cp\u003e11.3 Empirical Examples 213\u003c\/p\u003e \u003cp\u003e11.3.1 Results for the Three-Group Design 213\u003c\/p\u003e \u003cp\u003e11.3.2 Two-Group SB-MTMM Design 215\u003c\/p\u003e \u003cp\u003e11.4 The Empirical Identifiability and Efficiency of the Different SB-MTMM Designs 218\u003c\/p\u003e \u003cp\u003e11.4.1 The Empirical Identifiability of the SB-MTMM Model 218\u003c\/p\u003e \u003cp\u003e11.4.2 The Efficiency of the Different Designs 221\u003c\/p\u003e \u003cp\u003e11.5 Summary and Discussion 221\u003c\/p\u003e \u003cp\u003eExercises 222\u003c\/p\u003e \u003cp\u003eAppendix 11.1 The Lisrel Input for the Three-Group SB-MTMM Example 222\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 MTMM Experiments and the Quality of Survey Questions 225\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 The Data from the MTMM Experiments 226\u003c\/p\u003e \u003cp\u003e12.2 The Coding of the Characteristics of the MTMM Questions 229\u003c\/p\u003e \u003cp\u003e12.3 The Database and Some Results 230\u003c\/p\u003e \u003cp\u003e12.3.1 Differences in Quality across Countries 231\u003c\/p\u003e \u003cp\u003e12.3.2 Differences in Quality for Domains and Concepts 234\u003c\/p\u003e \u003cp\u003e12.3.3 Effect of the Question Formulation on the Quality 235\u003c\/p\u003e \u003cp\u003e12.4 Prediction of the Quality of Questions Not Included in the MTMM Experiments 237\u003c\/p\u003e \u003cp\u003e12.4.1 Suggestions for Improvement of Questions 239\u003c\/p\u003e \u003cp\u003e12.4.2 Evaluation of the Quality of the Prediction Models 240\u003c\/p\u003e \u003cp\u003e12.5 Summary 241\u003c\/p\u003e \u003cp\u003eExercises 242\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart IV Applications in Social Science Research 243\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 The SQP 2.0 Program for Prediction of Quality and Improvement of Measures 245\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 The Quality of Questions Involved in the MTMM Experiments 246\u003c\/p\u003e \u003cp\u003e13.1.1 The Quality of Specific Questions 246\u003c\/p\u003e \u003cp\u003e13.1.2 Looking for Optimal Measures for a Concept 250\u003c\/p\u003e \u003cp\u003e13.2 The Quality of Non-MTMM Questions in the Database 252\u003c\/p\u003e \u003cp\u003e13.3 Predicting the Quality of New Questions 256\u003c\/p\u003e \u003cp\u003e13.4 Summary 261\u003c\/p\u003e \u003cp\u003eExercises 262\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 The Quality of Measures for Concepts-by-Postulation 263\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 The Structures of Concepts-by-Postulation 264\u003c\/p\u003e \u003cp\u003e14.2 The Quality of Measures of Concepts-by-Postulation with Reflective Indicators 264\u003c\/p\u003e \u003cp\u003e14.2.1 Testing the Models 265\u003c\/p\u003e \u003cp\u003e14.2.2 Estimation of the Composite Scores 268\u003c\/p\u003e \u003cp\u003e14.2.3 The Quality of Measures for Concepts-by-Postulation 270\u003c\/p\u003e \u003cp\u003e14.2.4 Improvement of the Quality of the Measure 274\u003c\/p\u003e \u003cp\u003e14.3 The Quality of Measures for Concepts-by-Postulation with Formative Indicators 276\u003c\/p\u003e \u003cp\u003e14.3.1 Testing the Models 278\u003c\/p\u003e \u003cp\u003e14.3.2 Estimation of the Composite Score 281\u003c\/p\u003e \u003cp\u003e14.3.3 The Estimation of the Quality of the Composite Scores 282\u003c\/p\u003e \u003cp\u003e14.4 Summary 283\u003c\/p\u003e \u003cp\u003eExercises 284\u003c\/p\u003e \u003cp\u003eAppendix 14.1 Lisrel Input for Final Analysis of the Effect of “Social Contact” on “Happiness” 284\u003c\/p\u003e \u003cp\u003eAppendix 14.2 Lisrel Input for Final Analysis of the Effect of “Interest in Political Issues in the Media” on “Political Interest in General” 285\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Correction for Measurement Errors 287\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e15.1 Correction for Measurement Errors in Models with only Concepts-by-Intuition 287\u003c\/p\u003e \u003cp\u003e15.2 Correction for Measurement Errors in Models with Concepts-by-Postulation 292\u003c\/p\u003e \u003cp\u003e15.2.1 Operationalization of the Concepts 292\u003c\/p\u003e \u003cp\u003e15.2.2 The Quality of the Measures 294\u003c\/p\u003e \u003cp\u003e15.2.3 Correction for Measurement Errors in the Analysis 297\u003c\/p\u003e \u003cp\u003e15.3 Summary 298\u003c\/p\u003e \u003cp\u003eExercises 299\u003c\/p\u003e \u003cp\u003eAppendix 15.1 Lisrel Inputs to Estimate the Parameters of the Model in Figure 15.1 300\u003c\/p\u003e \u003cp\u003eAppendix 15.2 Lisrel Input for Estimation of the Model with Correction for Measurement Errors using Variance Reduction by Quality for all Composite Scores 301\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Coping with Measurement Errors in Cross-Cultural Research 302\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e16.1 Notations of Response Models for Cross-Cultural Comparisons 303\u003c\/p\u003e \u003cp\u003e16.2 Testing for Equivalence or Invariance of Instruments 307\u003c\/p\u003e \u003cp\u003e16.2.1 The Standard Approach to Test for Equivalence 307\u003c\/p\u003e \u003cp\u003e16.3 Problems Related with the Procedure 309\u003c\/p\u003e \u003cp\u003e16.3.1 Using Information about the Power of the Test 309\u003c\/p\u003e \u003cp\u003e16.3.2 An Alternative Test for Equivalence 315\u003c\/p\u003e \u003cp\u003e16.3.3 The Difference between Significance and Relevance 317\u003c\/p\u003e \u003cp\u003e16.4 Comparison of Means and Relationships across Groups 318\u003c\/p\u003e \u003cp\u003e16.4.1 Comparison of Means and Relationships between Single Requests for Answers 318\u003c\/p\u003e \u003cp\u003e16.4.2 Comparison of Means and Relationships Based on Composite Scores 319\u003c\/p\u003e \u003cp\u003e16.4.3 Comparison of Means and Relationships between Latent Variables 321\u003c\/p\u003e \u003cp\u003e16.5 Summary 324\u003c\/p\u003e \u003cp\u003eExercises 325\u003c\/p\u003e \u003cp\u003eAppendix 16.1 The Two Sets of Requests Concerning “Subjective Competence” 326\u003c\/p\u003e \u003cp\u003eAppendix 16.2 ESS Requests Concerning “Political Trust” 327\u003c\/p\u003e \u003cp\u003eAppendix 16.3 The Standard Test of Equivalence for “Subjective Competence” 328\u003c\/p\u003e \u003cp\u003eAppendix 16.4 The Alternative Equivalence Test for “Subjective Competence” in Three Countries 329\u003c\/p\u003e \u003cp\u003eAppendix 16.5 Lisrel Input to Estimate the Null Model for Estimation of the Relationship between “Subjective Competence” and “Political Trust” 331\u003c\/p\u003e \u003cp\u003eAppendix 16.6 Derivation of the Covariance between the Composite Scores 333\u003c\/p\u003e \u003cp\u003eReferences 336\u003c\/p\u003e \u003cp\u003eIndex 352\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eWILLEM E. SARIS, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is Emeritus Professor in Methodology of the University of Amsterdam and the Universitat Pompeu Fabra, Barcelona. He is Laureate of the 2005 Descartes Prize for “Best Collaborative Research” as member of the Central Coordinating Team of the European Social Survey (ESS) and Recipient of the World Association of Public Opinion Research’s “Helen Dinerman Award” in 2009 for his lifelong contribution to the methodology of Opinion Research. Dr. Saris also received the “2013 Outstanding Service Prize” of the European Survey Research Association.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIRMTRAUD N. GALLHOFER, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e is a linguist and was senior researcher on projects of the ESS, Research and Expertise Centre for Survey Methodology at the Universitat Pompeu Fabra, Barcelona. She is Laureate of the 2005 Descartes Prize for “Best Collaborative Research” as a member of the Central Coordinating Team of the ESS.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePraise for the \u003ci\u003eFirst Edition\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\"...this book is quite inspiring, giving many practical ideas for survey research, especially for designing better questionnaires.\"\u003cbr\u003e\u003c\/b\u003e\u003cb\u003e—\u003ci\u003eInternational Statistical Review\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eReflecting modern developments in the field of survey research, the \u003ci\u003eSecond Edition\u003c\/i\u003e of \u003ci\u003eDesign, Evaluation, and Analysis of Questionnaires for Survey Research\u003c\/i\u003e continues to provide cutting-edge analysis of the important decisions researchers make throughout the survey design process.\u003c\/p\u003e \u003cp\u003eThe new edition covers the essential methodologies and statistical tools utilized to create reliable and accurate survey questionnaires, which unveils the relationship between individual question characteristics and overall question quality. Since the \u003ci\u003eFirst Edition\u003c\/i\u003e, the computer program Survey Quality Prediction (SQP) has been updated to include new predictions of the quality of survey questions on the basis of analyses of Multi-Trait Multi-Method experiments. The improved program contains over 60,000 questions, with translations in most European languages. Featuring an expanded explanation of the usage and limitations of SQP 2.0, the \u003ci\u003eSecond Edition\u003c\/i\u003e also includes:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eNew practice problems to provide readers with real-world experience in survey research and questionnaire design\u003c\/li\u003e \u003cli\u003eA comprehensive outline of the steps for creating and testing survey questionnaires\u003c\/li\u003e \u003cli\u003eContemporary examples that demonstrate the many pitfalls of questionnaire design and ways to avoid similar decisions\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eDesign, Evaluation, and Analysis of Questionnaires for Survey Research, Second Edition\u003c\/i\u003e is an excellent textbook for upper-undergraduate and graduate-level courses in methodology and research questionnaire planning, as well as an ideal resource for social scientists or survey researchers needing to design, evaluate, and analyze questionnaires.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989042446565,"sku":"NP9781118634615","price":96.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118634615.jpg?v=1761782553","url":"https:\/\/k12savings.com\/products\/design-evaluation-and-analysis-of-questionnaires-for-survey-research-isbn-9781118634615","provider":"K12savings","version":"1.0","type":"link"}