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The baby and the bathwater: On the need for substantive–methodological synergy in organizational research
- Source :
- Hofmans, J, Morin, A J S, Breitsohl, H, Ceulemans, E, Chénard-Poirier, L A, Driver, C C, Fernet, C, Gagné, M, Gillet, N, González-Romá, V, Grimm, K J, Hamaker, E L, Hau, K T, Houle, S A, Howard, J L, Kline, R B, Kuijpers, E, Leyens, T, Litalien, D, Mäkikangas, A, Marsh, H W, McLarnon, M J W, Meyer, J P, Navarro, J, Olivier, E, O'Neill, T A, Pekrun, R, Salmela-Aro, K, Solinger, O N, Sonnentag, S, Tay, L, Tóth-Király, I, Vallerand, R J, Vandenberghe, C, Van Rossenberg, Y G T, Vantilborgh, T, Vergauwe, J, Vullinghs, J T, Wang, M, Wen, Z & Wille, B 2021, ' The baby and the bathwater : On the need for substantive-methodological synergy in organizational research ', Industrial and Organizational Psychology, vol. 14, no. 4, pp. 497-504 . https://doi.org/10.1017/iop.2021.111, Dipòsit Digital de la UB, Universidad de Barcelona, Industrial and Organizational Psychology, 14(4), 497-504. Cambridge University Press, Industrial and Organizational Psychology, Industrial and Organizational Psychology, Cambridge University press, 2021, 14, pp.497-504. ⟨10.1017/iop.2021.111⟩, Industrial and Organizational Psychology, 14, 4, pp. 497-504, Industrial and Organizational Psychology, 14, 497-504
- Publication Year :
- 2021
- Publisher :
- Cambridge University Press (CUP), 2021.
-
Abstract
- Murphy (2021) argues that the field of Industrial-Organizational (I/O) Psychology needs to pay more attention to descriptive statistics ('Table 1'; e.g., M, SD, reliability, correlations) when reporting and interpreting results. We agree that authors need to present a clear and transparent description of their data and that descriptive statistics and plots can be helpful in making sense of one's data and analyses (Tay et al., 2016). Many journals already require this. Although this information can be presented in the manuscript, more details can be placed in online supplements where there are fewer space limitations (e.g., detailed presentation and discussion of descriptive statistics, missing data and outliers, plots and diagrams, conceptual issues, and computer syntax). However, we strongly disagree with the claim that 'increasing complexity and diversity of data-analytic methods in organizational research has created several problems in our field' (p. 2). This claim suffers from two important oversights: (1) it neglects the crucial role of methodological fit, or the notion that theory, methods, and analyses need to be aligned, and (2) it neglects the fact that in I/O research, most constructs are not directly observable but need to be inferred indirectly though latent variable models. We expand on both issues, using examples to illustrate that the complexity and diversity of data-analytic methods is not a threat but a blessing for I/O research (and beyond). Finally, we conclude by highlighting the need for substantive-methodological synergies to solve some of the issues raised by Murphy (2021).
- Subjects :
- Social Psychology
[SHS.PSY]Humanities and Social Sciences/Psychology
050109 social psychology
Latent variable
Space (commercial competition)
Field (computer science)
Psicologia del treball
0502 economics and business
0501 psychology and cognitive sciences
ComputingMilieux_MISCELLANEOUS
Applied Psychology
Reliability (statistics)
Industrial psychology
Descriptive statistics
Syntax (programming languages)
05 social sciences
Methodology
Metodologia
Missing data
Epistemology
Psychology
Institute for Management Research
[STAT.ME]Statistics [stat]/Methodology [stat.ME]
sustantive-methodological synergy
Research methods
050203 business & management
Diversity (business)
Subjects
Details
- ISSN :
- 17549434 and 17549426
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Industrial and Organizational Psychology
- Accession number :
- edsair.doi.dedup.....3a27d61d9a8d0a9f833c56219de1f62b