Trends and Perspectives in Empirical Social Research

Author: Ingwer Borg   Peter P. Mohler  

Publisher: De Gruyter‎

Publication year: 1994

E-ISBN: 9783110887617

P-ISBN(Paperback): 9783110143119

Subject: C91 Sociology

Language: ENG

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Chapter

2 Principles and Approaches

pp.:  13 – 15

5 Looking Ahead

pp.:  22 – 23

2 Origins of NGSS

pp.:  29 – 29

1 Overview

pp.:  29 – 29

1 Introduction

pp.:  38 – 38

4 Conclusions – The Future

pp.:  42 – 47

Cognitive and Communicative Aspects of Survey Measurement

pp.:  47 – 52

2 Respondents’ Tasks

pp.:  52 – 53

1 Introduction

pp.:  52 – 52

4 Attitude Measurement and the Emergence of Context Effects

pp.:  53 – 56

3 Question Comprehension

pp.:  53 – 53

5 Concluding Remarks

pp.:  56 – 66

Secondary Analysis of Official Microdata

pp.:  66 – 69

1 Introduction

pp.:  69 – 69

2 Illustrations from the United States

pp.:  69 – 70

3 Empirical Social Research and Official Data in Germany

pp.:  70 – 72

4 Strengths and Weaknesses of Secondary Analysis of Official Microdata

pp.:  72 – 75

5 Analytic Potential of Major Bodies of Official Microdata

pp.:  75 – 78

6 Research Potential and Prospects

pp.:  78 – 83

Computer-Assisted Interviewing in Social and Market Research

pp.:  83 – 91

2 Definitions and Descriptions

pp.:  91 – 93

1 History

pp.:  91 – 91

4 Features and Capabilities of Computer-Assisted Data Collection Systems

pp.:  93 – 97

3 Classification and Function of Computer Technology for Social and Market Research

pp.:  93 – 93

5 Implications and Methodological Aspects of the Use of Computers

pp.:  97 – 100

6 New Data Collection Techniques

pp.:  100 – 104

7 The Future of Computer-Assisted Data Collection

pp.:  104 – 106

The Study of Work Values: A Call for a More Balanced Perspective

pp.:  106 – 111

2 A Brief History of Work Values and their Study

pp.:  111 – 112

1 Introduction

pp.:  111 – 111

3 Support for the External View

pp.:  112 – 114

4 Other Evidence for the Functionality of Economic Work Outcomes

pp.:  114 – 119

5 Implications for Management Practice

pp.:  119 – 122

6 Implications for Applied Organizational Research

pp.:  122 – 123

Theory and Practice of Sample Surveys

pp.:  123 – 137

2 Fixed Populations and Sampling Designs

pp.:  137 – 137

3 Superpopulation Models

pp.:  137 – 142

1 Introduction

pp.:  137 – 137

4 Analytic Studies

pp.:  142 – 144

5 Nonsampling Errors

pp.:  144 – 145

6 Sampling at ZUMA

pp.:  145 – 146

Statistics and the Sciences

pp.:  146 – 151

3 The Evaluation of Statistical Techniques

pp.:  151 – 154

2 Statistics

pp.:  151 – 151

1 Introduction

pp.:  151 – 151

4 The Role of Models in Statistics

pp.:  154 – 156

5 Connection Models and Techniques

pp.:  156 – 159

Measurement: The Reasonable Ineffectiveness of Mathematics in the Social Sciences

pp.:  159 – 161

2 The Dangers of Premature Precision

pp.:  161 – 162

1 Introduction

pp.:  161 – 161

3 Scaling and Measurement

pp.:  162 – 164

4 Uniqueness, Meaningfulness and Klein’s Erlanger Program

pp.:  164 – 166

5 The Psychology of Rectangles

pp.:  166 – 167

6 The Unreasonable Effectiveness of Mathematics in the Natural Sciences

pp.:  167 – 169

Nominal, Ordinal, Interval and Ratio Typologies are Misleading

pp.:  169 – 173

2 Stevens’ Typology of Data

pp.:  173 – 173

1 Introduction

pp.:  173 – 173

3 Prescribing and Proscribing Statistics

pp.:  173 – 175

4 Classical Criticisms of Stevens Proscriptions’

pp.:  175 – 176

5 The Controversy over Statistics and Scale Types

pp.:  176 – 177

6 Alternative Scale Taxonomies

pp.:  177 – 178

7 Proscribing Transformations

pp.:  178 – 179

9 Stevens’ Categories do not Describe Fixed Attributes of Data

pp.:  179 – 180

8 Good Data Analysis does not Assume Data Types

pp.:  179 – 179

10 Stevens’ Categories are Insufficient to Describe Data Scales

pp.:  180 – 181

12 Scale Types are not Precise Categories

pp.:  181 – 182

11 Statistics Procedures cannot be Classified according to Stevens’ Criteria

pp.:  181 – 181

14 Meaningfulness

pp.:  182 – 183

13 Scales and Data Analysis

pp.:  182 – 182

15 The Axiomatic Argument

pp.:  183 – 184

16 A Role for Data Types

pp.:  184 – 185

17 Conclusion

pp.:  185 – 186

Evolving Notions of Facet Theory

pp.:  186 – 190

1 Introduction

pp.:  190 – 190

2 Early FT and Attitudinal Behavior

pp.:  190 – 192

3 Early FT and Intelligence Testing

pp.:  192 – 193

4 On Mapping Sentences and Models

pp.:  193 – 195

5 Content Facets and Range Facets

pp.:  195 – 198

6 On Item Definitions and Attitudes

pp.:  198 – 200

7 Correspondence Hypotheses

pp.:  200 – 202

8 FT as a Theory

pp.:  202 – 206

9 FT Perspectives

pp.:  206 – 207

Factor Analysis in the 1980’s and the 1990’s: Some Old Debates and Some New Developments

pp.:  207 – 213

2 Some Theoretical Background

pp.:  213 – 214

1 Introduction

pp.:  213 – 213

3 Key Developments from 1980–1994

pp.:  214 – 219

4 Challenges and Directions for Future Research

pp.:  219 – 229

Causal Modeling: Some Trends and Perspectives

pp.:  229 – 236

1 Aims and Scope of Causal Modeling: Overview and Historical Developments

pp.:  236 – 236

2 Constructing Initial Candidate Models

pp.:  236 – 238

3 Model Estimation

pp.:  238 – 242

4 Evaluation of Model Fit (Fit Indexes)

pp.:  242 – 246

5 Model Modification

pp.:  246 – 251

6 Concluding Remarks and Suggestions for Future Research

pp.:  251 – 252

Attitude Theory and Measurement: Implications for Survey Research

pp.:  252 – 262

2 Unidimensional Conceptions of Attitude

pp.:  262 – 263

1 Historical Perspective

pp.:  262 – 262

3 Multidimensional Conceptions of Attitude

pp.:  263 – 269

4 Conclusions

pp.:  269 – 273

Reconciling Macro and Micro Perspectives by Multilevel Models: An Application to Regional Wage Differences

pp.:  273 – 278

1 Multilevel Models Bridge the Gap between the Micro and Macro Level

pp.:  278 – 278

2 An Example: the Regional Wage Curve Hypothesis

pp.:  278 – 279

3 Random Coefficient Models

pp.:  279 – 280

4 Data and Variables to Test the Wage-Curve Hypothesis

pp.:  280 – 286

5 Results

pp.:  286 – 287

6 Summary

pp.:  287 – 292

A Phenomenological Approach to Social Research: The Perspective of the Other

pp.:  292 – 295

1 The Notion of Approach

pp.:  295 – 295

2 The Conception of a Phenomenological Approach

pp.:  295 – 296

3 Phenomenology and Social Research

pp.:  296 – 297

4 Phenomenological Approaches in Social Research: Two Illustrations

pp.:  297 – 298

5 The Phenomenological Approach in Perspective

pp.:  298 – 302

Hermeneutic Interpretation in Qualitative Research: Between Art and Rules

pp.:  302 – 306

2 Psychoanalytic Hermeneutics

pp.:  306 – 308

1 The Tradition of Hermeneutics

pp.:  306 – 306

3 Objective Hermeneutics

pp.:  308 – 310

4 Hermeneutics of the Sociology of Knowledge

pp.:  310 – 313

5 Interpretation: Rules versus Art or Rules Within Art

pp.:  313 – 315

6 Prospects

pp.:  315 – 316

On the Integration of Quantitative and Qualitative Methodological Paradigms (Based on the Example of Content Analysis)

pp.:  316 – 320

1 The Metatheoretical Point of Departure: The Position of Content Analysis Between Monism and Dualism

pp.:  320 – 320

2 Prototypes for Systematizing Understanding

pp.:  320 – 324

3 (Methodological) Goal Criteria for a Constructive Approach to Content Analysis: Adjustment of Rules with Explicit Elaboration of Inferences

pp.:  324 – 329

4 On the Link Between Methodical Systematics and Object Adjustment as a Way of Reconciling the Quantitative and the Qualitative Paradigm

pp.:  329 – 334

Trends and Perspectives in Content Analysis

pp.:  334 – 339

1 Introduction

pp.:  339 – 339

2 Post-War Research on Content Analysis

pp.:  339 – 340

3 A Content Analysis of Content Analyses: Research Design

pp.:  340 – 341

4 Results

pp.:  341 – 342

5 Recent Developments in Content Analysis

pp.:  342 – 349

6 Conclusion

pp.:  349 – 351

About the Contributors

pp.:  351 – 359

Name Index

pp.:  359 – 365

Subject Index

pp.:  365 – 379

LastPages

pp.:  379 – 389

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