Cross-cultural survey methods
著者
書誌事項
Cross-cultural survey methods
(Wiley series in survey methodology)
Wiley-Interscience, c2003
大学図書館所蔵 全21件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Place of publication in later printing: Hoboken, N.J.
Includes bibliographical references (p. 359-399) and indexes
内容説明・目次
内容説明
PRACTICAL METHODOLOGIES FOR CROSS-CULTURAL RESEARCH
Since all research is in a sense comparative, it is sometimes argued that methods and requirements remain the same, no matter what country or nationality is involved. The editors of this volume contend that this philosophy is an oversimplification. Although comparative survey research builds on and benefits from best practices established in monocultural research, cross-cultural research requires methodologies which address the central issues of equivalence of measurement and comparability of findings. The literature dealing with these issues has tended to be piecemeal, scattered across disciplines, and focused on specific questionnaires and the needs of single disciplines. This book provides the first systematic, interdisciplinary and hands-on treatment of the issues of greatest saliency for comparative survey research within and across countries.
Breaking new ground in its approach, Cross-Cultural Survey Methods describes how to recognize and deal with the major obstacles at each stage of researching, striving for equivalence and comparability. Topics include:
* Designing and crafting questionnaires for comparative subjects, including questionnaire translation
* Error and bias issues in cross-national surveys
* Techniques for analyzing bias and equivalence
* Statistical techniques for substantive analysis and the use of multidimensional scaling to analyze bias and research questions
* Important issues of preparing data for secondary analysis, such as data access, and documentation
* An introduction to meta-analysis in comparative survey research
Consistently readable and grounded in the expertise of noted international authorities, this volume fills an increasing need for practical methodologies for cross-cultural research.
目次
Contributors.
Preface.
PART I: INTRODUCTION.
Comparative Research (J. Harkness, et al.).
PART II: DESIGN AND IMPLEMENTATION.
Questionnaire Design in Comparative Research (J. Harkness, et al.).
Questionnaire Translation (J. Harkness).
Communication and Social Cognition (M. Braun).
Developing Comparable Questions in Cross-National Surveys (T. Smith).
Culture-Sensitive Context Effects: A Challenge for Cross-Cultural Surveys (N. Schwarz).
Background Variables (M. Braun & P. Mohler).
Sampling and Estimation (S. Hader & S. Gabler).
PART III: ERROR AND COMPARATIVE SURVEYS.
Errors in Comparative Survey Research: An Overview (M. Braun).
Bias and Equivalence: Cross-Cultural Perspectives (F. Van de Vijver).
Nonresponse in Cross-Cultural and Cross-National Surveys (M. Couper & E. de Leeuw).
Data Collection Methods (K. Skj?k & J. Harkness).
Social Desirability in Cross-Cultural Research (T. Johnson & F. Van de Vijver).
PART IV: ANALYSIS OF COMPARATIVE DATA.
Bias and Substantive Analyses (F. Van de Vijver).
Multidimensional Scaling (J. Fontaine).
Cross-Cultural Equivalence with Structural Equation Modeling (J. Billiet).
Multitrait -
Multimethod Studies (W. Saris).
Response Function Equality (W. Saris).
PART V: DOCUMENTATION AND SECONDARY ANALYSIS.
Using Published Survey Data (J. van Deth).
Documenting Comparative Surveys for Secondary Analysis (P. Mohler & R. Uher).
The Use of Meta-Analysis in Cross-National Studies (E. de Leeuw & J. Hox).
Glossary (T. Johnson).
References.
Author Index.
Subject Index.
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