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C.M. Brodsky

Bio: C.M. Brodsky is an academic researcher. The author has contributed to research in topics: Grounded theory & Qualitative research. The author has an hindex of 1, co-authored 1 publications receiving 6411 citations.

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Book
01 Jan 1989
TL;DR: In this article, the authors present a comprehensive review of the literature on content analysis in the field of qualitative research, focusing on the role of focus groups and focus groups in the research process.
Abstract: IN THIS SECTION: 1.) BRIEF 2.) COMPREHENSIVE BRIEF TABLE OF CONTENTS: Chapter 1: Introduction Chapter 2: Designing Qualitative Research Chapter 3: Ethical Issues Chapter 4: A Dramaturgical Look at Interviewing Chapter 5: Focus Group Interviewing Chapter 6: Ethnographic Field Strategies Chapter 7: Action Research Chapter 8: Unobtrusive Measures in Research Chapter 9: Social Historical Research and Oral Traditions Chapter 10: Case Studies Chapter 11: An Introduction to Content Analysis Chapter 12: Writing Research Papers: Sorting the Noodles from the Soup COMPREHENSIVE TABLE OF CONTENTS: Chapter 1: Introduction Quantitative Versus Qualitative Schools of Thought Use of Triangulation in Research Methodology Qualitative Strategies: Defining an Orientation From a Symbolic Interactionist Perspective Why Use Qualitative Methods? A Plan of Presentation Chapter 2: Designing Qualitative Research Theory and Concepts Ideas and Theory Reviewing the Literature Evaluating Web Sites Content versus Use Theory, Reality, and the Social World Framing Research Problems Operationalization and Conceptualization Designing Projects Data Collection and Organization Data Storage, Retrieval, and Analysis Dissemination Trying It Out Chapter 3: Ethical Issues Research Ethics in Historical Perspective From Guidelines to Law: Regulations on the Research Process Institutional Review Boards (IRBs) Ethical Codes Some Common Ethical Concerns in Behavioral Research New Areas for Ethical Concern: Cyberspace Informed Consent and Implied Consent Confidentiality and Anonymity Securing the Data Objectivity and Careful Research Design Trying It Out Chapter 4: A Dramaturgical Look at Interviewing Dramaturgy and Interviewing Types of Interviews The Data Collection Instrument Guideline Development Communicating Effectively A Few Common Problems in Question Formulation Pretesting the Schedule Long Versus Short Interviews Telephone Interviews Computer Assisted Interviewing Conducting an Interview: A Natural or an Unnatural Communication? The Dramaturgical Interview The Interviewer's Repertoire Know Your Audience Analyzing Data Obtained from the Dramaturgical Interview Trying It Out Chapter 5: Focus Group Interviewing What are Focus Groups? Working With a Group The Evolution of Focus Group Interviews Facilitating Focus Group Dynamics: How Focus Groups Work The Moderator's Guide Basic Ingredients in Focus Groups Analyzing Focus Group Data Confidentiality and Focus Group Interviews Recent Trends in Focus Groups: Online Focus Groups Trying It Out Chapter 6: Ethnographic Field Strategies Accessing a Field Setting: Getting In Reflectivity and Ethnography Critical Ethnography Becoming Invisible Other Dangers During Ethnographic Research Watching, Listening, and Learning How to Learn: What to Watch and Listen For Computers and Ethnography OnLine Ethnography Analyzing Ethnographic Data Other Analysis Strategies: Typologies, Sociograms, and Metaphors Disengaging: Getting Out Trying It Out Chapter 7: Action Research The Basics of Action Research Identifying the Research Question(s) Gathering the Information to Answer the Question(s) Analyzing and Interpreting the Information Sharing the Results with the Participants When to Use and When Not to Use Action Research The Action Researcher's Role Types of Action Research Photovoice and Action Research Action Research: A Reiteration Trying It Out Chapter 8: Unobtrusive Measures in Research Archival Strategies Physical Erosion and accretion: Human Traces as Data Sources Trying It Out Chapter 9: Social Historical Research and Oral Traditions What Is Historical Research? Life Histories and Social History What Are the Sources of Data for Historical Researchers? Doing Historiography: Tracing Written History as Data What Are Oral Histories? Trying It Out Chapter 10: Case Studies The Nature of Case Studies Theory and Case Studies The Individual Case Study Intrinsic, Instrumental, and Collective Case Studies Case Study Design Types Designing Case Studies The Scientific Benefit of Case Studies Case Studies of Organizations Case Studies of Communities Trying It Out Chapter 11: An Introduction to Content Analysis What is Content Analysis? Analysis of Qualitative Data Content Analysis as a Technique Content Analysis: Quantitative or Qualitative? Communication Components What to Count: Levels and Units of Analysis Category Development: Building Grounded Theory Discourse Analysis and Content Analysis Open Coding Coding Frames Stages in the Content Analysis Process Strengths and Weaknesses of the Content Analysis Process Computers and Qualitative Analysis Qualitative Research at the Speed of Light Trying It Out Chapter 12: Writing Research Papers: Sorting the Noodles from the Soup Plagiarism: What It Is, Why It's Bad, and How to Avoid It Identifying the Purpose of the Writing: Arranging the Noodles Delineating a Supportive Structure: Visual Signals for the Reader Terms and Conditions Presenting Research Material A Word About the Content of Papers and Articles Write It, Rewrite It, Then Write It Again! A Few Writing Hints A Final Note

14,765 citations

Book
20 Dec 2013
TL;DR: The Foundations of Qualitative Research as mentioned in this paper The applications of qualitative methods to social research are discussed in detail in the context of qualitative research in the field of social science research, with a focus on the use of qualitative data.
Abstract: The Foundations of Qualitative Research - Rachel Ormston, Liz Spencer, Matt Barnard, Dawn Snape The Applications of Qualitative Methods to Social Research - Jane Ritchie and Rachel Ormston Design Issues - Jane Lewis and Carol McNaughton Nicholls Ethics of Qualitative Research - Stephen Webster, Jane Lewis and Ashley Brown Designing and Selecting Samples - Jane Ritchie, Jane Lewis, Gilliam Elam, Rosalind Tennant and Nilufer Rahim Designing Fieldwork - Sue Arthur, Martin Mitchell, Jane Lewis and Carol McNaughton Nicholls In-depth Interviews - Alice Yeo, Robin Legard, Jill Keegan, Kit Ward, Carol McNaughton Nicholls and Jane Lewis Focus Groups - Helen Finch, Jane Lewis, and Caroline Turley Observation - Carol McNaughton Nicholls, Lisa Mills and Mehul Kotecha Analysis: Principles and Processes - Liz Spencer, Jane Ritchie, Rachel Ormston, William O'Connor and Matt Barnard Traditions and approaches Analysis in practice - Liz Spencer, Jane Ritchie, William O'Connor, Gareth Morrell and Rachel Ormston Generalisability Writing up qualitative Research - Clarissa White, Kandy Woodfield, Jane Ritchie and Rachel Ormston

9,682 citations

Posted Content
TL;DR: It is suggested that much can be gained if a plurality of research perspectives is effectively employed to investigate information systems phenomena and that there exist other philosophical assumptions that can inform studies of the relationships between information technology, people, and organizations.
Abstract: We examined 155 behavioral information systems research articles published from 1983-1988and found that while this research is not rooted in a single overarching theoretical perspective itdoes exhibit a single set of philosophical assumptions about the nature of valid evidence andthe phenomena of interest to information systems researchers. We argue in this paper that thesephilosophical assumptions draw on the natural science tradition, and hence may not always beappropriate for inquiry into the relationships between information technology and people or organizations. In particular, we suggest that the development and use of information technologywithin organizations is inherently processual and contextual, and that these characteristics are notalways adequately captured by the philosophical assumptions prevalent in information systemsresearch. Positing social process as central to information systems phenomena asserts theimportance of studying the ongoing interactions among people, information technology andorganizations, as these are situated historically and contextually.We argue in this paper that the dominant research perspective in information systems research isnot well-equipped to deal with situated interactions over time, and propose additional researchphilosophies to augment the one currently favored by behavioral information systemsresearchers. We outline the features of such additional research perspectives, the interpretive andthe critical, providing empirical examples to illustrate how and when they may be useful. Weconclude that multiple research perspectives can usefully be employed within the informationsystems community to enrich understanding of behavioral information systems phenomena.

4,038 citations

01 Jan 2005
TL;DR: The history of qualitative research in the human disciplines can be traced back to the 1970s and 1980s, when the very existence of qualitative work was at issue as mentioned in this paper, when the evidence-based research movement, with its fixed standards and guidelines for conducting and evaluating qualitative inquiry, sought total domination.
Abstract: The global community of qualitative researchers is midway between two extremes, searching for a new middle, moving in several different directions at the same time. Mixed methodologies and calls for scientifically based research, on the one side, renewed calls for social justice inquiry from the critical social science tradition on the other. In the methodological struggles of the 1970s and 1980s, the very existence of qualitative research was at issue. In the new paradigm war, “every overtly social justice-oriented approach to research . . . is threatened with de-legitimization by the government-sanctioned, exclusivist assertion of positivism . . . as the ‘gold standard’ of educational research” (Wright, 2006, pp. 799–800). The evidence-based research movement, with its fixed standards and guidelines for conducting and evaluating qualitative inquiry, sought total domination: one shoe fits all (Cannella & Lincoln, Chapter 5, this volume; Lincoln, 2010). The heart of the matter turns on issues surrounding the politics and ethics of evidence and the value of qualitative work in addressing matters of equity and social justice (Torrance, Chapter 34, this volume). In this introductory chapter, we define the field of qualitative research, then navigate, chart, and review the history of qualitative research in the human disciplines. This will allow us to locate this handbook and its contents within their historical moments. (These historical moments are somewhat artificial; they are socially constructed, quasi-historical, and overlapping conventions. Nevertheless, they permit a “performance” of developing ideas. They also facilitate an increasing sensitivity to and sophistication about the pitfalls and promises of ethnography and qualitative research.) A conceptual framework for reading the qualitative research act as a multicultural, gendered process is presented. We then provide a brief introduction to the chapters, concluding with a brief discussion of qualitative research. We will also discuss the threats to qualitative human-subject research from the methodological conservatism movement, which was noted in our Preface. As indicated there, we use the metaphor of the bridge to structure what follows. This volume provides a bridge between historical moments, politics, the decolonization project, research methods, paradigms, and communities of interpretive scholars.

3,131 citations

Journal ArticleDOI
TL;DR: The essay addresses issues of causality, explanation, prediction, and generalization that underlie an understanding of theory, and suggests that the type of theory under development can influence the choice of an epistemological approach.
Abstract: The aim of this research essay is to examine the structural nature of theory in Information Systems. Despite the importance of theory, questions relating to its form and structure are neglected in comparison with questions relating to epistemology. The essay addresses issues of causality, explanation, prediction, and generalization that underlie an understanding of theory. A taxonomy is proposed that classifies information systems theories with respect to the manner in which four central goals are addressed: analysis, explanation, prediction, and prescription. Five interrelated types of theory are distinguished: (1) theory for analyzing, (2) theory for explaining, (3) theory for predicting, (4) theory for explaining and predicting, and (5) theory for design and action. Examples illustrate the nature of each theory type. The applicability of the taxonomy is demonstrated by classifying a sample of journal articles. The paper contributes by showing that multiple views of theory exist and by exposing the assumptions underlying different viewpoints. In addition, it is suggested that the type of theory under development can influence the choice of an epistemological approach. Support is given for the legitimacy and value of each theory type. The building of integrated bodies of theory that encompass all theory types is advocated.

3,070 citations