Is Replication Relevant for Qualitative Research?

被引:24
作者
Tuval-Mashiach, Rivka [1 ,2 ]
机构
[1] Bar Ilan Univ, Dept Psychol, Ramat Gan, Israel
[2] Bar Ilan Univ, Dept Psychol, IL-5290002 Ramat Gan, Israel
关键词
replication; transferability; generalization; qualitative research; replication crisis; CONCEPTUAL REPLICATIONS; SPECIAL SECTION; PSYCHOLOGY; CRISIS; TRUSTWORTHINESS; REPLICABILITY; TRANSPARENCY; CRITERIA; SCIENCE; RIGOR;
D O I
10.1037/qup0000217
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Replication, broadly defined as the repetition of a research study, generally among different subjects and/or situations, is commonly conducted in quantitative research with the aim of determining whether the basic findings of the original study can be generalized to other circumstances. Qualitative researchers have for many years objected to the notion of replicability, seeing it as being incompatible with qualitative research, on several grounds, including the context-bound nature of qualitative research as well as methodological and representational limitations. Instead, the concept of transferability has been suggested, a concept that refers to the degree to which the results of qualitative research can be transferred to other contexts or settings, conducted among other respondents. However, the value of replication in qualitative research, the similarities and differences between replication and transferability, and the relation between transferability and generalization have, to date, scarcely been discussed. In this paper, I make a claim in favor of a type of replication that is compatible with qualitative research and consider four critical aspects: the type of replication, the researcher's epistemological stance and approach, the aim of the replication, and the nature of the study. Finally, I present two strategies that are critical when planning a qualitative replication study: consideration of context(s) and the need for transparency.
引用
收藏
页码:365 / 377
页数:13
相关论文
共 69 条
  • [1] Estimating the reproducibility of psychological science
    Aarts, Alexander A.
    Anderson, Joanna E.
    Anderson, Christopher J.
    Attridge, Peter R.
    Attwood, Angela
    Axt, Jordan
    Babel, Molly
    Bahnik, Stepan
    Baranski, Erica
    Barnett-Cowan, Michael
    Bartmess, Elizabeth
    Beer, Jennifer
    Bell, Raoul
    Bentley, Heather
    Beyan, Leah
    Binion, Grace
    Borsboom, Denny
    Bosch, Annick
    Bosco, Frank A.
    Bowman, Sara D.
    Brandt, Mark J.
    Braswell, Erin
    Brohmer, Hilmar
    Brown, Benjamin T.
    Brown, Kristina
    Bruening, Jovita
    Calhoun-Sauls, Ann
    Callahan, Shannon P.
    Chagnon, Elizabeth
    Chandler, Jesse
    Chartier, Christopher R.
    Cheung, Felix
    Christopherson, Cody D.
    Cillessen, Linda
    Clay, Russ
    Cleary, Hayley
    Cloud, Mark D.
    Cohn, Michael
    Cohoon, Johanna
    Columbus, Simon
    Cordes, Andreas
    Costantini, Giulio
    Alvarez, Leslie D. Cramblet
    Cremata, Ed
    Crusius, Jan
    DeCoster, Jamie
    DeGaetano, Michelle A.
    Della Penna, Nicolas
    den Bezemer, Bobby
    Deserno, Marie K.
    [J]. SCIENCE, 2015, 349 (6251)
  • [2] Altheide D., 1994, Handbook of Qualitative Research pp, P485
  • [3] [Anonymous], 2007, 10 EUR C PSYCH PRAG
  • [4] Bitsch V., 2005, Journal of Agribusiness, V23, P75
  • [5] Ambiguous loss theory: Challenges for scholars and practitioners
    Boss, Pauline
    [J]. FAMILY RELATIONS, 2007, 56 (02) : 105 - +
  • [6] Cartwright N., 2012, Evidence-based policy: A practical guide to doing it better, DOI DOI 10.1093/ACPROF:OSOBL/9780199841608.001.0001
  • [7] Connelly Lynne M, 2016, Medsurg Nurs, V25, P435
  • [8] On the scientific superiority of conceptual replications for scientific progress
    Crandall, Christian S.
    Sherman, Jeffrey W.
    [J]. JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY, 2016, 66 : 93 - 99
  • [9] Creswell J.W., 2017, Research Design: Qualitative and Quantitative Approaches
  • [10] Denzin N. K., 2018, SAGE HDB QUALITATIVE, DOI DOI 10.1017/CBO9781107415324.004