Common problems/proper solutions : avoiding error in quantitative research

著者

• Long, J. Scott

書誌事項

Common problems/proper solutions : avoiding error in quantitative research

edited by J. Scott Long

（Sage focus editions, 94）

Sage Publications, c1988

• : pbk.

注記

Bibliography: p. 316-332

内容説明・目次

内容説明

Statistical and methodological errors are fairly universal in all the social sciences. This unique volume investigates the following questions: what are the most common errors, and how can they be avoided? Common Problems/Proper Solutions identifies and corrects these errors and provides clear statements concerning methodological issues. Long groups the problems into two broad types: omission where researchers fail to apply methods ideal to a topic; and commission where a technique is inappropriately applied. Each article addresses a specific aspect of these problems. This volume encourages further communication between methodological specialists and quantitative researchers, and highlights the important relationship between substantive research and statistical methods.

目次

Introduction - J Scott Long Measurement and the Interpretation of Effects in Structural Equation Models - Duane F Alwin Direct and Indirect Effects in Linear Structural Equation Models - Michael E Sobel Estimating Multiequation Models with Correlated Disturbances - Lowell L Hargens Problems in the Use and Interpretation of Product Variables - Gene A Fisher The Statistical Comparison of Groups - J Scott Long and Terance D Miethe Endogenous Switching Regression Models for the Causes and Effects of Discrete Variables - Robert D Mare and Christopher Winship Practical Issues in Structural Modeling - P M Bentler and Chih-Ping Chou Assessment of Fit in Overidentified Models with Latent Variables - Blair Wheaton Some Common Problems in Log-Linear Analysis - Clifford C Clogg and Scott R Eliason Interpreting the Parameters of Log-Linear Models - Richard D Alba Latent Class Analysis - James W Shockey An Introduction to Discrete Data Models with Unobserved Variables

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BA04904890
• ISBN:
  • 0803928068
  • 0803928076
• LCCN: 87020625
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Newbury Park, Calif.
• ページ数/冊数: 335 p.
• 大きさ: 23 cm
• 分類:
  • LCC : HA29
  • DC19 : 300/.72
• 件名:
  • LCSH : Social sciences -- Statistical methods
• 親書誌ID:
  • BA00351552