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This open access textbook offers a practical guide into research ethics for undergraduate students in the social sciences. A step-by-step approach of the most viable issues, in-depth discussions of case histories and a variety of didactical tools will aid the student to grasp the issues at hand and help him or her develop strategies to deal with them. This book addresses problems and questions that any bachelor student in the social sciences should be aware of, including plagiarism, data fabrication and other types of fraud, data augmentation, various forms of research bias, but also peer pressure, issues with confidentiality and questions regarding conflicts of interest. Cheating, ‘free riding’, and broader issues that relate to the place of the social sciences in society are also included. The book concludes with a step-by-step approach designed to coach a student through a research application process.

Research—Moral and ethical aspects. --- Social sciences. --- Psychology—Methodology. --- Psychological measurement. --- Research Ethics --- Methodology of the Social Sciences --- Psychological Methods/Evaluation --- Moral Philosophy and Applied Ethics --- Biotechnology --- Psychological Methods --- conceptualizing research ethics --- research ethics in the social sciences --- definition of plagiarism --- factors that facilitate plagiarism --- ghostwriting --- measures to counter plagiarism --- fabrication and cheating --- research bias --- science's self-correction --- publication bias --- Open Access --- Ethics & moral philosophy --- Philosophy of science --- Social research & statistics --- Psychological methodology --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Measurement --- Scaling --- Methodology --- Psychometrics.