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Handbook of ethics in quantitative methodology

Author: A T Panter; Sonya K Sterba
Publisher: New York : Routledge, ©2011.
Series: Multivariate applications book series.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"Part 1 presents ethical frameworks that cross-cut design, analysis, and modeling in the behavioral sciences. Part 2 focuses on ideas for disseminating ethical training in statistics courses. Part 3 considers the ethical aspects of selecting measurement instruments and sample size planning and explores issues related to high stakes testing, the defensibility of experimental vs. quasi-experimental research designs,  Read more...
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Genre/Form: fallstudier
Document Type: Book
All Authors / Contributors: A T Panter; Sonya K Sterba
ISBN: 9781848728547 1848728549 9781848728554 1848728557
OCLC Number: 500783766
Description: xix, 519 pages : illustrations ; 23 cm.
Contents: Ethics in Quantitative Professional Practice --
Ethical Principles in Data Analysis: An Overview --
A Statistical Guide for the Ethically Perplexed --
Measurement Choices: Reliability, Validity, and Generalizability --
Ethics and Sample Size Planning --
Ethics and the Conduct of Randomized Experiments and Quasi-Experiments in Field Settings --
Psychometric Methods and High-Stakes Assessment: Contexts and Methods for Ethical Testing Practice --
Ethics in Program Evaluation --
Beyond Treating Complex Sampling Designs as Simple Random Samples: Data Analysis and Reporting --
From Hypothesis Testing to Parameter Estimation: An Example of Evidence-Based Practice in Statistics --
Some Ethical Issues in Factor Analysis --
The Impact of Missing Data on the Ethical Quality of a Research Study --
The Science and Ethics of Causal Modeling --
Ethical Issues in the Conduct and Reporting of Meta-Analysis --
Ethics and Statistical Reform: Lessons from Medicine --
Ethical Issues in Professional Research, Writing, and Publishing.
Series Title: Multivariate applications book series.
Responsibility: A.T. Panter, Sonya K. Sterba.

Abstract:

"Part 1 presents ethical frameworks that cross-cut design, analysis, and modeling in the behavioral sciences. Part 2 focuses on ideas for disseminating ethical training in statistics courses. Part 3 considers the ethical aspects of selecting measurement instruments and sample size planning and explores issues related to high stakes testing, the defensibility of experimental vs. quasi-experimental research designs, and ethics in program evaluation. Decision points that shape a researchers' approach to data analysis are examined in Part 4 - when and why analysts need to account for how the sample was selected, how to evaluate tradeoffs of hypothesis-testing vs. estimation, and how to handle missing data. Ethical issues that arise when using techniques such as factor analysis or multilevel modeling and when making causal inferences are also explored. The book concludes with ethical aspects of reporting meta-analyses, of cross-disciplinary statistical reform, and of the publication process.

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"A timely book that fills a notable void - highlighting ethical issues that arise in applying quantitative techniques. Leading researchers have written engaging chapters that probe matters often Read more...

 
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