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

https://ndl.ethernet.edu.et/bitstream/123456789/9791/1/40.pdf.pdf

Qualitative Research Methods for the Social Sciences

The authors conducted a qualitative study of the motivations and contextual factors that induce corporate ecological responsiveness. Analytic induction applied to data collected from 53 firms in the United Kingdom and Japan revealed three motivations: competitiveness, legitimation, and ecological responsibility. These motivations were influenced by three contextual conditions: field cohesion, issue salience, and individual concern. In this article, the authors also identify the conditions that likely lead to high corporate ecological responsiveness.

https://www.jstor.org/stable/pdf/1556363.pdf

Why Companies Go Green: A Model of Ecological Responsiveness

A comparison is undertaken between scale development and index construction procedures to trace the implications of adopting a reflective versus formative perspective when creating multi-item measures for organizational research. Focusing on export coordination as an illustrative construct of interest, the results show that the choice of measurement perspective impacts on the content, parsimony and criterion validity of the derived coordination measures. Implications for practising researchers seeking to develop multi-item measures of organizational constructs are considered.

https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=950400

Formative Versus Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration

Implementation science has progressed towards increased use of theoretical approaches to provide better understanding and explanation of how and why implementation succeeds or fails. The aim of this article is to propose a taxonomy that distinguishes between different categories of theories, models and frameworks in implementation science, to facilitate appropriate selection and application of relevant approaches in implementation research and practice and to foster cross-disciplinary dialogue among implementation researchers. Theoretical approaches used in implementation science have three overarching aims: describing and/or guiding the process of translating research into practice (process models); understanding and/or explaining what influences implementation outcomes (determinant frameworks, classic theories, implementation theories); and evaluating implementation (evaluation frameworks). This article proposes five categories of theoretical approaches to achieve three overarching aims. These categories are not always recognized as separate types of approaches in the literature. While there is overlap between some of the theories, models and frameworks, awareness of the differences is important to facilitate the selection of relevant approaches. Most determinant frameworks provide limited “how-to” support for carrying out implementation endeavours since the determinants usually are too generic to provide sufficient detail for guiding an implementation process. And while the relevance of addressing barriers and enablers to translating research into practice is mentioned in many process models, these models do not identify or systematically structure specific determinants associated with implementation success. Furthermore, process models recognize a temporal sequence of implementation endeavours, whereas determinant frameworks do not explicitly take a process perspective of implementation.

/pdf/making-sense-of-implementation-theories-models-and-9m1o7axeoi.pdf

Making sense of implementation theories, models and frameworks

Background One of the main primary data collection instruments in social, health and epidemiological research is the survey questionnaire. Modes of data collection by questionnaire differ in several ways, including the method of contacting respondents, the medium of delivering the questionnaire to respondents, and the administration of the questions. These are likely to have different effects on the quality of the data collected. Methods This paper is based on a narrative review of systematic and non-systematic searches of the literature on the effects of mode of questionnaire administration on data quality. Results Within different modes of questionnaire administration, there were many documented potential, biasing influences on the responses obtained. These were greatest between different types of mode (e.g. self-administered versus interview modes), rather than within modes. It can be difficult to separate out the effects of the different influences, at different levels. Conclusions The biasing effects of mode of questionnaire administration has important implications for research methodology, the validity of the results of research, and for the soundness of public policy developed from evidence using questionnaire-based research. All users of questionnaires need to be aware of these potential effects on their data.

Mode of questionnaire administration can have serious effects on data quality

This acclaimed text offers a comprehensive, systematic treatment of the scientific approach to research within the context of the social sciences. Emphasizing the relationship between theory, research, and practice, the book leads students through seven major, interrelated stages of research methods: definition of the research problem, statement of hypothesis, research design, measurement, data collection, data analysis, and generalization. Research activities are integrated throughout to get students actively involved in the real work of social science research. With its self-contained yet integrated chapters, the text adapts well to either a basic methods course, or a course that covers methods and statistics sequentially. The new edition has been thoroughly updated and revised, and is designed to help students take full advantage of the Internet and other electronic data sources plus the most current statistical software.

Research Methods in the Social Sciences

With its clear presentation and integration of detailed real-world examples, the acclaimed \"Research Methods in the Social Sciences \"accessibly illustrates the relevance of social sciences research without sacrificing key content. The eighth edition includes engaging new studies and examples that explore the use of Twitter feeds in social sciences research, the effect of climate change on human conflict, the use of rational intuition in explaining the Chelyabinsk meteor explosion, and much more. The eighth edition also includes new and expanded coverage of conducting qualitative research, as well as conducting research in our digital age, including the use of the Internet and various computer software packages for retrieving, cleaning, coding, and analyzing \"big data.\

David Nachmias

Papers

Research Methods in the Social Sciences

Research Methods in Social Sciences.

Study guide to accompany Research methods in the social sciences, seventh edition : Chava Frankfort-Nachmias, David Nachmias