Realist explanatory theory building method for social epidemiology:A protocol for a mixed method multilevel study of neighbourhood context and postnatal depression

SpringerPlus

Volumn 3, Issue 1, 2014, Pages 1-12

  Eastwood, John G ^a,b,c,d,e   Jalaludin, Bin B ^a,b   Kemp, Lynn A ^a,b  

^a SOUTH WESTERN SYDNEY LOCAL HEALTH DISTRICT   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c UNIVERSITY OF NEW SOUTH WALES   (Australia)

^d UNIVERSITY OF SYDNEY   (Australia)

^e GRIFFITH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84892560323     PISSN: None     EISSN: 21931801     Source Type: Journal    
DOI: 10.1186/2193-1801-3-12     Document Type: Article

References (62)

1. Bhaskar R (1975) A realist theory of science. Leeds Books, Leeds
2. Bhaskar R (1998) The possibility of naturalism. Routledge, London
3. Borsboom D (2008) Latent variable theory. Measurement 6:25-53
4. Borsboom D, Mellenbergh G, Van Heereden J (2003) The theoretical status of latent variables. Psychol Rev 110:203-219
5. Carpiano R, Daley D (2006) A guide and glossary on postpositivist theory building for population health. J Epidemiol Commun Health 60:564-570
6. Charmaz K (2006) Constructing grounded theory. Sage Publications, London
7. Clarke A (2005) Situational analysis: grounded theory after the postmodern turn. Thousand Oakes, CA, Sage
8. Creswell J, Fetters M, Inankova N (2004) Designing a mixed methods study in primary care. Ann Fam Med 2:7-12
9. Danermark B (2002) Interdisciplinary research and critical realism. The example of disability research. J Crit Realism 5:56-64
10. Danermark B, Ekstrom M, Jakobsen L, Karlsson J (2002) Explaining society:critical realism in the social sciences. Routledge, London
11. Danermark B, Gellerstedt L (2004) Social justice: redistribution and recognition - a non-reductionist perspective on disability. Disabil Soc 19:339-353
12. Downward P, Finch J, Ramsay J (2002) Critical realism, empirical methods and inference. Camb J Econom 26:481-500
13. Downward P, Mearman A (2007) Retroduction as mixed-methods triangulation in economic research: reorienting economics into social science. Camb J Econom 31:77-99
14. Dubin R (1969) Theory building (Revised Edition). Free Press, New York
15. Eastwood J, Phung H, Barnett B (2011) Postnatal depression and sociodemographic risk:factors associated with edinburgh depression scale scores in a metropolitan area of New South Wales, Australia. Aust NZ J Psychiatry 45:1040-1046
16. Eco U (1984) Semiotics and the philosophy of language. Macmillan, London
17. Fleetwood S (2010) Causal laws and tendencies [online], Available: http://carecon.org.uk/QM/Conference%202008/Papers/Fleetwod.pdf [Accessed 14 February 2010]
18. Glaser B, Strauss A (1967) The discovery of grounded theory: strategies for qualitative research. Aldine, Chicago
19. Greenhalgh T, Humphrey C, Hughes J, Macfarlane F, Butler C, Pawson R (2009) How do you modernize a health service? A realist evaluation of whole-scale transformation in London. Milbank Q 87:391-416
20. Haig B (1995) Grounded theory as scientific method [online]. Philosophy of education, Available: http://jan.ucc.nau.edu/~pms/cj355/readings/Haig% 20Grounded%20Theory%20as%20Scientific%20Method.pdf [Accessed 14 July 2006]
21. Haig B (2005a) An abductive theory of scientific method. Psychol Methods 10:371-388
22. Haig B (2005b) Exploratory factor analysis, theory generation and scientific method. Multivariant Behav Res 40:303-329
23. Hellevik O (1984) Introduction to causal analysis. Exploring survey data by crosstabulation. George Allen & Unwin, London
24. Hill A (1965) The environment and disease: association or causation? Proc R Soc Med 58:295-300
25. Jaccard J, Jacoby J (2010) Theory construction and model-building skills: a practical guide for social scientists. The Guilford Press, New York
26. Jeppesen S (2005) Critical realism as an approach to unfolding empirical findings. J Transdiscip Environ Stud 4:1-9
27. Kelle U (2001) Sociological explanations between micro and macro and integration of qualitative and quantitative methods. Fqs (Forum: Qualitative Social Research) 2(1), [Online]. Available: http://www.qualitative-research.net/ index.php/fqs/article/view/966/2109 [Accessed February 2009]
28. Kemp S, Holmwood J (2003) Realism, regularity and social explanation. J Theory Soc Behav 33:165-187
29. Krieger N (2001) Theories for social epidemiology in the 21st century: an ecosocial perspective. Int J Epidemiol 30:668-677
30. Lawson T (1994) Economics and expectations. In: Dow S, Hillard J (eds) Keynes, knowledge and uncertainity. Edward Elgar, Aldershot
31. Lawson T (1997) Economics and reality.Routledge, London
32. Lynham S (2002) The general method of theory-building research in applied disciplines. Adv Dev Human Res 4:221-241
33. McGuire W (2005) Beyond EBM: New directions for evidence-based public health. Perspect Biol Med 48:557-569
34. McGuire W (2006) Beyond EBM: critical realism as the foundation for evidencebased public health. In: Cohen J, Keelan J (eds) Comparative program onhealth and society lupina foundation working papers series. Munk Centre For International Studies, University Of Toronto, Toronto, pp 2004-2005
35. Miles M, Huberman A (1994) Qualitative data analysis: an expanded sourcebook. Sage Publications, Thousand Oakes, CA
36. Mingers J (2006) A critique of statistical modelling in management science from a critical realist perspective: its role within multimethodology. J Oper Res Soc 57:202-219
37. Modell S (2009) In defence of triangulation: a critical realist approach to mixed methods research in management accounting. Manage Acc Res 20:208-221
38. Muntaner C (1999) Invited commentary: social mechanisms, race, and social epidemiology. Am J Epidemiol 150:121-126
39. O'Campo P (2003) Invited commentary: advancing theory and methods for multilevel models of residential neighbourhoods and health. Am J Epidemiol 157:9-13
40. O'Campo P, Dunn J (2012) Rethinking social epidemiology: toward a science of change. Springer, Dordrecht
41. O'Campo P, Kirst M, Schaefer-Mcdaniel N, Firestone M, Scott A, McShane K (2009a) Community-based services for homeless adults experiencing concurrent mental health and substance use disorders: a realist approach to synthesizing evidence. J Urban Health Bull NY Acad Med 86:965-989
42. O'Campo P, Salmon C, Burke J (2009b) Neighbourhoods and mental well-being: what Are the pathways. Health Place 15:56-68
43. Olsen W (2001) Stereotypical and traditional views about the gender division of labour in indian labour markets. J Crit Realism 4:4-12
44. Olsen W, Morgan J (2005) A critical epistemology of analytical statistics: addressing the sceptical realist. J Theory Soc Behav 35:255-284
45. Pawson R (2006) Evidence-based policy: a realist perspective. Sage Publications, London
46. Pawson R, Tiley N (1997) Realistic evaluation. Sage, London
47. Peirce C (1960) In: Hartshorne C, Weiss P (eds) Collected papers of Charles Sanders Peirce. Belknap Ress of Harvard University Press, Cambridge, MA
48. Phillips D (1987) Philosphy, science, and social inquiry: contemporary methodological controversies in social science and related applied fields of research. Pergamon Press, Oxford, England
49. Popper K (1959) The logic of scientific discovery (In German). Basic Books, New York
50. Raphael D (2006) Social determinants of health: present status, unanswered questions and future directions. Int J Health Serv 36:651-677
51. Rothman K, Greenland S (1998) Causation and causal inference. In: Greenland S, Rothman K (eds) Modern epidemiology. Lippincott Williams & Wilkins, Philadelphia
52. Sayer A (1992) Method in social science. Routledge, London
53. Sayer A (2000) Realism and social science.Sage Publications, London
54. Smith M (2008) Testable theory development for small-N studies: critical realism and middle-range theory [online], Available: http://aisel.aisnet.org/confirm2008/51/ [Accessed 15 February 2010]
55. Tashakkori A, Teddlie C (eds) (2003) Handbook of mixed methods in social and behavioural research. Sage Publications, Thousand Oaks
56. Thagard P (1978) The best explanation: criteria for theory choice. J Philos 75:76-92
57. Thagard P (1988) Computational philosophy of science. MIT Press, Cambridge, MA
58. Thagard P (1992) Conceptual revolutions. Princeton University Press, Princeton, NJ
59. Tukey J (1980) We need both exploratory and confirmatory.Am Stat 34:23-25
60. Ward A (2009) The role of causal criteria in causal inferences: Bradford Hill's "Aspects of Association". Epidemiol Perspect Innov 6:2
61. Woolley C (2009) Meeting the mixed methods challenge of integration in a sociological study of structure and agency. J Mixed Meth Res 3:7-25
62. Yin R (2006) Mixed methods research: are the methods genuinely integrated or merely parallel? Res Sch 13:41-47