The Value of Qualitative Inquiry for Public Policy

Abstract

This article focuses on public policies and programs as a major component of the “public sphere,” and argues that qualitative inquiry can make uniquely valuable contributions to their development and evaluation. These contributions include understanding (a) how people interpret and respond to such policies, (b) contextual variability and its effects on the implementation and consequences of these policies, and (c) the processes through which policies achieve their results. The movement for “evidence-based” policy and practice has largely ignored these issues, but they are critical for developing policies that actually achieve their goals and avoid unintended and damaging consequences.

Keywords

public policy qualitative inquiry public sphere implementation

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References

Abbott

(2001). Chaos of disciplines. Chicago, IL: University of Chicago Press.

Ayer

A. J.

(1936). Language, truth, and logic. London, England: Victor Gollancz Ltd.

Ayer

A. J.

(1978). Interview (this contains a link to a video of the television interview in which Ayer said this). Retrieved from https://www.basicincome.com/bp/ratherlike.htm

Bandura

(1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall.

Barth

(1987). Cosmologies in the making: A generative approach to cultural variation in New Guinea. Cambridge, UK: Cambridge University Press.

Becker

H. S.

(1992). Generalizing from case studies. In Eisner

Peshkin

(Eds.), Qualitative inquiry in education: The continuing debate (pp. 233-242). New York, NY: Teachers College Press.

Bennett

Chekel

J. T.

(2015). Process tracing: From metaphor to analytic tool. Cambridge, UK: Cambridge University Press.

Bhaskar

(1989). Reclaiming reality: A critical introduction to contemporary philosophy. London, England: Verso.

Bohman

(1991). New philosophy of social science. Cambridge, MA: MIT Press.

10.

Campbell

D. C.

(1984). Can we be scientific in applied science? In Connor

R. F.

Altman

D. G.

Jackson

(Eds.), Evaluation studies review annual (pp. 24-48). Thousand Oaks, CA: Sage.

11.

Cartwright

(1983). How the laws of physics lie. Oxford, UK: Oxford University Press.

12.

Cartwright

(1999). The dappled world: A study of the boundaries of science. Cambridge, UK: Cambridge University Press.

13.

Cartwright

Hardie

(2012). Evidence-based policy: A practical guide to doing it better. Oxford, UK: Oxford University Press.

14.

Cook

T. D.

Reichardt

C. S.

(1979). Qualitative and quantitative methods in evaluation research. Beverly Hills, CA: Sage.

15.

Davidson

(1980). Essays on actions and events. Oxford, UK: Oxford University Press.

16.

Davidson

(1993). Thinking causes. In Heil

Mele

(Eds.), Mental causation (pp. 3-17). Oxford, UK: Clarendon Press.

17.

Denzin

N. K.

(1983). Interpretive interactionism. In Morgan

(Ed.), Beyond method: Strategies for social research (pp. 129-144). Beverly Hills, CA: Sage.

18.

Donaldson

S. I.

Christie

C. A.

Mark

M. M.

(2009). What counts as credible evidence in applied research and evaluation practice? Thousand Oaks, CA: Sage.

19.

Donmoyer

(2008). Generalizability. In Given

(Ed.), The Sage encyclopedia of qualitative research methods (pp. 171-117). Thousand Oaks, CA: Sage.

20.

Eggan

Maxwell

J. A.

(2001). Kinship and social organization. In DeMallie

(Ed.), Handbook of North American Indians, volume 13: Plains (pp. 974-982). Washington, DC: Smithsonian Institution.

21.

Fetterman

(1984). Ethnography in educational evaluation. Beverly Hills, CA: Sage.

22.

Giddings

L. S.

(2006). Mixed-methods research: Positivism dressed in drag? Journal of Research in Nursing, 11, 195-203.

23.

Giere

R. N.

(1999). Science without laws. Chicago, IL: University of Chicago Press.

24.

Giere

R. N.

(2006). Scientific perspectivism. Chicago, IL: University of Chicago Press.

25.

Gould

S. J.

(1989). Wonderful life: The Burgess Shale and the nature of history. New York, NY: W.W. Norton.

26.

Greene

J. C.

(2007). Mixed methods in social inquiry. San Francisco, CA: Jossey-Bass.

27.

Guba

E. G.

Lincoln

Y. S.

(1989). Fourth generation evaluation. Newbury Park, CA: Sage.

28.

Haack

(2003). Defending science within reason: Between scientism and cynicism. New York, NY: Prometheus Books.

29.

Hay

M. C.

(Ed.). (2016). Methods that matter. Chicago, IL: University of Chicago Press.

30.

Hayek

F. A.

(1952). The counterrevolution of science: Studies on the abuse of reason. Glencoe, IL: The Free Press.

31.

House

(1991). Realism in research. Educational Researcher, 20(6), 2-9+25.

32.

Huberman

A. M.

Miles

M. B.

(1985). Assessing local causality in qualitative research. In Berg

D. N.

Smith

K. K.

(Eds.), Exploring clinical methods for social research (pp. 351-382). Beverly Hills, CA: Sage.

33.

Keller

E. F.

(1983). A feeling for the organism: The life and work of Barbara McClintock. New York, NY: W. H. Freeman.

34.

Kuhn

T. S.

(1957). The Copernican revolution: Planetary astronomy in the development of Western thought. Cambridge, MA: Harvard University Press.

35.

LeVine

R. A.

(2016). Repairing the fractured social sciences: An introduction from a historical point of view. In Hay

M. C.

(Ed.), Methods that matter: Integrating mixed methods for more effective social science research (pp. 3-12). Chicago, IL: University of Chicago Press.

36.

Levitt

H. M.

Bamberg

Creswell

J. W.

Frost

D. M.

Josselson

Suárez-Orozco

(2018), Journal Article Reporting Standards for Qualitative Primary, Qualitative Meta-Analytic, and Mixed Methods Research in Psychology: The APA Publications and Communications Board Task Force Report. American Psychologist, 73(1), 26-46.

37.

Lincoln

Y. S.

Guba

E. G.

(1985). Naturalistic evaluation. Thousand Oaks, CA: Sage.

38.

Maxwell

J. A.

(1978). The evolution of Plains Indian kin terminologies: A non-reflectionist account. Plains Anthropologist, 23, 13-29.

39.

Maxwell

J. A.

(1993). Gaining acceptance for qualitative methods from clients, policy-makers, and participants. In Fetterman

D. M.

(Ed.), Speaking the language of power (pp. 105-115). Washington, DC: Falmer Press.

40.

Maxwell

J. A.

(2004). Causal explanation, qualitative research, and scientific inquiry in education. Educational Researcher, 33(2), 3-11.

41.

Maxwell

J. A.

(2012). The importance of qualitative research for causal explanation in education. Qualitative Inquiry, 18, 649-655.

42.

Maxwell

J. A.

(2013). A realist approach for qualitative research. Thousand Oaks, CA: Sage.

43.

Maxwell

J. A.

(2016). Expanding the history and range of mixed methods research. Journal of Mixed Methods Research, 10(1), 12-27.

44.

Maxwell

J. A.

Chmiel

(2014). Generalization in and from qualitative analysis (with Margaret Chmiel). In Flick

(Ed.), The Sage handbook of qualitative data analysis (pp. 540-553). London, England: Sage.

45.

Maxwell

J. A.

Chmiel

Rogers

(2015). Designing integration in mixed method and multi-method research. In Hesse-Biber

Johnson

R. B.

(Eds.), Oxford handbook of multimethod and mixed methods research inquiry (pp. 223-239). Oxford, UK: Oxford University Press.

46.

Maxwell

J. A.

Loomis

(2003). Mixed methods design: An alternative approach. In Tashakkori

Teddlie

(Eds.), Handbook of mixed methods in social and behavioral research (pp. 241-271). Thousand Oaks, CA: Sage.

47.

Mayr

(1976). Evolution and the diversity of life. Cambridge, MA: Harvard University Press.

48.

Mayr

(1982). The growth of biological thought: Diversity, evolution, and inheritance. Cambridge, MA: Harvard University Press.

49.

Mayr

(1988). Toward a new philosophy of biology. Cambridge, MA: Harvard University Press.

50.

McGinn

(1991). Conceptual causation: Some elementary reflections. Mind, 100, 573-586. (Reprinted in C. McGinn, Knowledge and reality: Selected essays, pp. 152-167, by C. McGinn, Oxford, UK: Clarendon Press, 1999)

51.

Menzel

(1978). Meaning: Who needs it? In Brenner

Marsh

Brenner

(Eds.), The social contexts of method (pp. 140-171). New York, NY: St. Martin’s Press.

52.

Miles

M. B.

Huberman

A. M.

(1994). Qualitative data analysis: An expanded sourcebook. Thousand Oaks, CA: Sage.

53.

Mohr

L. B.

(1996). The causes of human behavior: Implications for theory and method in the social sciences. Ann Arbor: University of Michigan Press.

54.

Moss

P. A.

Haertel

E. H.

(2016). Engaging methodological pluralism. In Gitomer

Bell

(Eds.), Handbook of research on teaching (5th ed., pp. 127-247). Washington, DC: American Educational Research Association.

55.

Murdock

G. P.

(1949). Social structure. New York, NY: The Free Press.

56.

National Research Council. (2002). Scientific research in education. Washington, DC: National Academy Press.

57.

Patrick

(1998). Social Theory in the Twentieth Century. Washington Square, NY: New York University Press.

58.

Patton

M. Q.

(1980). Qualitative evaluation and research methods. Thousand Oaks, CA: Sage.

59.

Patton

M. Q.

(1990). Qualitative evaluation and research methods (2nd ed.). Thousand Oaks, CA: Sage.

60.

Pawson

(2006). Evidence-based policy: A realist perspective. London, England: Sage.

61.

Pawson

(2013). The science of evaluation: A realist manifesto. London, England: Sage.

62.

Pawson

Tilley

(1997). Realistic evaluation. London, England: Sage.

63.

Pitman

M. A.

Maxwell

J. A.

(1992). Qualitative approaches to evaluation. In LeCompte

M. D.

Millroy

W. L.

Preissle

(Eds.), The handbook of qualitative research in education (pp. 729-770). San Diego, CA: Academic Press.

64.

Putnam

(1999). The threefold cord: Mind, body, and world. New York, NY: Columbia University Press.

65.

Rose

(2015). The end of average. New York, NY: HarperCollins.

66.

Salmon

W. C.

(1984). Scientific explanation and the causal structure of the world. Princeton, NJ: Princeton University Press.

67.

Salmon

W. C.

(1998). Causality and explanation. New York, NY: Oxford University Press.

68.

Sayer

(1992). Method in social science: A realist approach (2nd ed.). London, England: Routledge.

69.

Sayer

(2000). Realism and social science. London, England: Sage.

70.

Schofield

J. W.

(1990). Increasing the generalizability of qualitative research. In Eisner

E. W.

Peshkin

(Eds.), Qualitative inquiry in education: The continuing debate (pp. 201-232). New York, NY: Teachers College Press.

71.

Schwandt

T. A.

(2007). The Sage dictionary of qualitative inquiry (3rd ed.). Thousand Oaks, CA: Sage.

72.

Shadish

W. R.

Cook

T. D.

Campbell

D. T.

(2002). Experimental and quasi-experimental designs for generalized causal inference. Boston, MA: Houghton Mifflin.

73.

Steinmetz

(2005). Introduction: Positivism and its others in the social sciences. In Steinmetz

(Ed.), The politics of method in the human sciences (pp. 1-58). Durham, NC: Duke University Press.

74.

Trend

(1979). On the reconciliation of qualitative and quantitative analyses: A case study. In Cook

T. D.

Reichardt

C. S.

(Eds.), Qualitative & quantitative methods in program evaluation (pp. 68-86). Thousand Oaks, CA: Sage.

75.

Weinert

(Ed.). (1995). Laws of nature: Essays on the philosophical, scientific, and historical dimensions. New York, NY: Walter de Gruyter.

76.

Weisberg

H. I.

(2014). Willful ignorance: The mismeasure of uncertainty. Hoboken, NJ: John Wiley.

77.

Weisner

T. S.

(Ed.). (2005). Discovering successful pathways in children’s development: Mixed methods in the study of childhood and family life. Chicago, IL: University of Chicago Press.

78.

Weller

Barnes

(2014). Finding pathways: Mixed methods research for studying causal mechanisms. Cambridge, UK: Cambridge University Press.