rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Research methods in practice
    sub title: strategies for description and causation
  name:
    name part: Remler, Dahlia K.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Van Ryzin, Gregg G. (Gregg Gerard)
    name part: 1961-
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: cau
    date issued: 2022
    copyright date: 2022
    edition: Third edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xxxviii, 650, 14, 18, 7 pages : chiefly color illustrations ; 26 cm.
  abstract: Authors Dahlia K. Remler and Gregg G. Van Ryzin are back with the third edition of their innovative, standard-setting text, Research Methods in Practice: Strategies for Description and Causation. Imbued with a deep commitment to making social and policy research methods accessible and meaningful, the third edition of this text motivates readers to examine the logic and limits of social science research from academic journals and government reports. A central theme of causation versus description runs through the text, with an emphasis on the idea that causal research is essential to understanding the original of social problems and their potential solutions. Readers will find excitement in the research experience as the best hope for improving the world in which we live, while also acknowledging the trade-offs and uncertainties in real-world research. The new edition of this text has been thoroughly updated to reflect changes in both research and methods. An entirely revamped chapter on secondary data expands to cover big data, including ethics, as well focusing more on the variety and challenges of using public and research data including data on COVID. The chapter on logic models now focuses on examples of community policing to demonstrate effectiveness. Survey coverage now includes a much greater focus on online surveys, with detailed examples of non-response bias using data from the 2016 and 2020 US presidential elections. The open access and open data movements, along with preregistration, now feature prominently in the politics of research.
  table of contents: PART I: FOUNDATIONS -- Chapter 1. Research in the real world -- Learning objectives -- Do methods matter? -- Research, policy, and practice -- Evidence can mislead -- What is research? -- Descriptive and causal research -- Epistemology: ways of knowing -- Approaching research from different angles -- Ethics of research -- Conclusion: the road ahead -- Exercises -- Chapter 2. Theory, models, and research questions -- Learning objectives -- Community policing comes to Portland -- What is a theory? -- What is a model? -- Logic models: mechanisms of programs -- Alternative perspectives on theory in social research -- How to find and focus research questions -- Conclusion: theories are practical -- Chapter 3. Qualitative research -- Learning objectives -- Fighting malaria in Kenya -- What is qualitative research? -- Existing qualitative data -- Qualitative interviews -- Focus groups -- Qualitative observation -- Participant observation and ethnography -- Case study research -- Qualitative data analysis -- The qualitative-quantitative debate -- Ethics in qualitative research -- Conclusion: matching methods to questions -- Exercises -- PART II: STRATEGIES FOR DESCRIPTION -- Chapter 4. Measurement -- Learning objectives -- The U.S. poverty measure -- What is measurement? -- Conceptualization -- Operationalization -- Validity -- Criteron-related validity -- Measurement error -- Reliability -- Validity and reliability in qualitative research -- Levels of measurement -- Measurement in the real world: trade-offs and choices -- Conclusion: measurement matters -- Chapter 5. Sampling -- Learning objectives -- Gauging the fallout from Hurricane Katrina -- Generalizability -- Basic sampling concepts -- Problems and biases in sampling -- Nonprobability sampling -- Random (probability) sampling -- Sampling distributions, standard errors, and confidence intervals -- Sampling in practice -- Sampling and generalizability: a summary -- Exercises -- Chapter 6. Secondary data -- Learning ob…
  note: Dahlia K. Remler, Gregg G. Van Ryzin.
  note: Includes bibliographical references and index.
  subject:
    topic: Research
    topic: Methodology
    topic: Study and teaching (Graduate)
  subject:
    topic: Research
    topic: Moral and ethical aspects
  subject:
    topic: Qualitative research
    topic: Methodology
  subject:
    topic: Quantitative research
    topic: Methodology
  subject:
    topic: Sampling (Statistics)
  classification: LB2369 .R46 2022
  classification: 378.1/70281
  identifier: 9781544318424
  identifier: 1544318421
  identifier: 9781544318400
  identifier: 9781544318417
  identifier: 9781544318431
  identifier: 2021026184
  record info:
    record content source: DLC
    record creation date: 210619
    record change date: 20250825195401.0
    record identifier: in00005660211