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1091 results in Qualitative research methods

Page 30 of 55

  • 21 - Meta-Analysis: An Introduction

  • from Part Five - New Statistical Trends in the Social and Behavioral Sciences
  • Edited by John E. Edlund, Rochester Institute of Technology, New York, Austin Lee Nichols
  • Book:
    Advanced Research Methods for the Social and Behavioral Sciences
    Published online:
    22 February 2019
    Print publication:
    14 March 2019, pp 346-364

  • Summary

    The present chapter presents an introduction to meta-analysis. Meta-analysis is a tool for quantitatively describing and testing effects sizes gathered from multiple studies. Frist, meta-analysts identify their research question. Second, using search engines and reference lists of review articles, researchers scour the literature for relevant effect sizes in both published and unpublished studies. Third, multiple trained researchers scan articles for relevant effect sizes and code other relevant information including sample size, scale reliability, and potential study-level moderators. Fourth, the effect sizes are meta-analyzed, which includes estimating the weighted mean as well as testing for outliers, publication bias, decline effects, and moderators. The present chapter focuses on an example of random-effects analyses of raw and corrected bivariate correlations, but also analytic approaches are also described. Fifth, the limitations of meta-analysis are discussed, along with alternatives to it, and what the future may hold for meta-analysis.

  • 6 - Issues in Informed Consent

  • from Part Two - Understanding Issues Present Throughout the Research Process
  • Edited by John E. Edlund, Rochester Institute of Technology, New York, Austin Lee Nichols
  • Book:
    Advanced Research Methods for the Social and Behavioral Sciences
    Published online:
    22 February 2019
    Print publication:
    14 March 2019, pp 85-102

  • Summary

    The informed consent process is designed to help ensure the ethical protections of all individuals who participate in research. The three primary tenets of informed consent that evolved from a number of different national and international initiatives are intelligence (i.e., capacity), knowingness (i.e., understanding), and voluntariness (i.e., free from undue influence or coercion). This chapter explores each of these individual tenets in detail and provides useful evidence-based strategies that can be used to increase the likelihood that consent is truly informed. It is critical that researchers maintain the highest level of rigor and incorporate empirically-supported procedures throughout the consent process.

  • 15 - Research Ethics for the Social and Behavioral Sciences

  • from Part Four - Emerging Issues in Social and Behavioral Science Research
  • Edited by John E. Edlund, Rochester Institute of Technology, New York, Austin Lee Nichols
  • Book:
    Advanced Research Methods for the Social and Behavioral Sciences
    Published online:
    22 February 2019
    Print publication:
    14 March 2019, pp 244-257

  • Summary

    Social science research can only be a means to a better world if the knowledge that it produces is informed by ethical and responsible research, respecting the dignity of human beings. The concern about ethical research has led to a commitment to create a culture of best practices in the field of Social Science research. Ethics, on the one hand, helps researchers to carry out their research honourably, honestly, objectively and responsibly with the goal to improve a comprehensive understanding of human behaviour in social contexts. On the other hand, it also underlines key values important for teamwork such as trust, responsibility, generosity, respect, fairness and authorship, among others. These values help facilitate the progress of science. This chapter examines how ethical principles are important to the research profession, and explores the implications of these principles for third parties that constitute the research ecosystem. Finally, it provides some conclusions, suggested readings and ideas for future research.

  • 7 - Participant Preknowledge and Attitudes in Research

  • from Part Two - Understanding Issues Present Throughout the Research Process
  • Edited by John E. Edlund, Rochester Institute of Technology, New York, Austin Lee Nichols
  • Book:
    Advanced Research Methods for the Social and Behavioral Sciences
    Published online:
    22 February 2019
    Print publication:
    14 March 2019, pp 103-114

  • Summary

    The rise of the internet nowadays has significantly increased the ease and frequency with which people can access information on the web. However, this has not been coupled with relevant training on how to critically evaluate such information or how to behave when providing data for research purposes. To be able to ensure the quality of research data, it is essential for researchers to be aware of the factors that could negatively influence the validity of the data and pose threats to the internal validity of a study’s results. By being aware of the possible threats to internal validity, efforts can be made to minimize or control them during the research process. The goal of this chapter is to discuss how preknowledge, and pre-existing attitudes can impact the ways in which individuals respond to research studies, and suggest methods of minimizing these threats to the validity of a study’s results.

Advanced Research Methods for the Social and Behavioral Sciences
  • Edited by John E. Edlund, Austin Lee Nichols
  • Published online:
    22 February 2019
    Print publication:
    14 March 2019
  • Written by an interdisciplinary team of global experts covering diverse research methods - including research design, research tools, and statistical techniques - this volume focuses on advanced research methods for anyone working in the social and behavioral sciences. The information needed to perform research in the laboratory, the field, or online is mapped out to provide specific applications and tools in applying each method. The issues surrounding reliability, validity, and obtaining consent are explained alongside detailed descriptions of the impact of pre-knowledge on participant behavior, the ways that researchers unintentionally influence participants, and tips on administering suspicion probes and debriefings. The book then lays out bio-physiological measures, eye-tracking methods and technologies, the construction of questionnaires, and reaction-time methodologies without assuming too much prior knowledge. The basics of Bayesian analysis, item response analysis, social network analysis, and meta-analysis are also summarised as the editors combine innovative methods and statistics to showcase how to perform quality research.

Case Study Research
  • Principles and Practices
  • 2nd edition
  • John Gerring
  • Published online:
    01 February 2019
    Print publication:
    24 December 2016
  • Case Study Research: Principles and Practices provides a general understanding of the case study method as well as specific tools for its successful implementation. These tools are applicable in a variety of fields including anthropology, business and management, communications, economics, education, medicine, political science, psychology, social work, and sociology. Topics include: a survey of case study approaches; a methodologically tractable definition of 'case study'; strategies for case selection, including random sampling and other algorithmic approaches; quantitative and qualitative modes of case study analysis; and problems of internal and external validity. The second edition of this core textbook is designed to be accessible to readers who are new to the subject and is thoroughly revised and updated, incorporating recent research, numerous up-to-date studies and comprehensive lecture slides.

Page 30 of 55