Research Design (6th Edition) — Creswell & Creswell

Creswell and Creswell’s sixth edition, published by SAGE in 2023, compares three broad approaches: quantitative, qualitative, and mixed methods. The book places them side by side. Not to declare a winner. To show how each tradition—with its own philosophical baggage, its own procedural logic, its own criteria for what counts as knowledge—produces fundamentally different kinds of inquiries.

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It is shown that the postpositivist running an experiment is not doing the same thing as the constructivist conducting interviews, and pretending otherwise is a disservice to both.

For previously published book reviews, check the following links:

The synthesis through the chapters draws on key sources:

postpositivism for quantitative, constructivism and transformative frameworks for qualitative, and pragmatism for mixed methods.

Examples are pulled from published journal articles, dissertations, and proposals across psychology, education, nursing, public health, and organizational studies.

Simply put, each method answers a different kind of research question. Quantitative research tests objective theories by examining relationships among variables. A survey might examine job motivation among educators in correctional institutions (DeGraw, 1984). An experiment might test how website design affects purchase behavior among vulnerable consumers (Esposito et al., 2017).

The structure is fixed:

• Introduction
• Methods
• Results
• Discussion

You know what you’re getting.

Qualitative research explores meaning. A phenomenological study examines the lived experiences of mothers who lost a baby (Lauterbach, 1992). A grounded theory study develops a framework explaining how African American women integrate physical activity into their lives (Harley et al., 2007). An ethnographic study explores cultural beliefs among British-born Pakistani and Bangladeshi young men (Mac an Ghaill & Haywood, 2015). The structure is flexible. Sometimes maddeningly so, if you’re the sort of person who likes clear templates.

Mixed methods do both. Collects quantitative and qualitative data. Integrates them. Draws metainferences from the combination. A convergent design might compare crash data with stakeholder perspectives to develop an older driver safety intervention (Classen et al., 2007). An explanatory sequential design might survey doctoral students, then interview them to explain the statistical findings (Ivankova & Stick, 2007). An exploratory sequential design might qualitatively explore social workers’ experiences with client violence, then use those findings to develop and validate a questionnaire (Enosh et al., 2015).

It sounds elegant. In practice, it’s demanding—more data, more analysis, more integration challenges. The book doesn’t sugarcoat that.

Ten chapters. Learning objectives. Key terms. Writing exercises. Additional readings.

The quantitative chapter covers surveys and experiments: sampling, instrumentation, power analysis, ANOVA, ANCOVA, and regression.

The qualitative chapter covers purposeful sampling, observations, interviews, documents, audiovisual materials, coding, thematic analysis, triangulation, and member checking.

The mixed methods chapter covers integration, joint displays, complex designs embedded within experiments, case studies, participatory action research, and evaluations.

The sixth edition brings meaningful updates. Each chapter opens with learning objectives. Small change, but it helps.

The quantitative methods chapter has been reorganized and expanded, and there’s now a consistent structure across the three methods chapters—so you’re not constantly reorienting yourself as you move from one approach to the next. That consistency reduces cognitive friction. It lets you focus on what actually differs.

The authors have refreshed references and examples throughout.

The fifth edition was showing its age in places. New tables clarify distinctions that often trip students up—research problem, purpose statement, research questions—and additional tables define specialized terminology, including mixed methods vocabulary.

For a more intuitive overview, explore the tabs below.