Abstract
Original language | English |
---|---|
Pages (from-to) | 25152459231162567 |
Number of pages | 1 |
Journal | Advances in Methods and Practices in Psychological Sciences |
Volume | 6 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2023 |
Bibliographical note
This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for detailsAccess to Document
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This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
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In: Advances in Methods and Practices in Psychological Sciences, Vol. 6, No. 3, 2023, p. 25152459231162567.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Multidimensional signals and analytic flexibility: Estimating degrees of freedom in human speech analyses
AU - Coretta, Stefano
AU - Casillas, Joseph V.
AU - Roessig, Simon
AU - Franke, Michael
AU - Ahn, Byron
AU - Al-Hoorie, Ali H.
AU - Al-Tamimi, Jalal
AU - Alotaibi, Najd E.
AU - AlShakhori, Mohammed K.
AU - Altmiller, Ruth M.
AU - Arantes, Pablo
AU - Athanasopoulou, Angeliki
AU - Baese-Berk, Melissa M.
AU - Bailey, George
AU - Sangma, Cheman Baira A
AU - Beier, Eleonora J.
AU - Benavides, Gabriela M.
AU - Benker, Nicole
AU - BensonMeyer, Emelia P.
AU - Benway, Nina R.
AU - Berry, Grant M.
AU - Bing, Liwen
AU - Bjorndahl, Christina
AU - Bolyanatz, Mariška
AU - Braver, Aaron
AU - Brown, Alicia M.
AU - Brown, Alicia M.
AU - Brugos, Alejna
AU - Buchanan, Erin M.
AU - Butlin, Tanna
AU - Buxó-Lugo, Andrés
AU - Caillol, Coline
AU - Cangemi, Francesco
AU - Carignan, Christopher
AU - Carraturo, Sita
AU - Caudrelier, Tiphaine
AU - Chodroff, Eleanor
AU - Cohn, Michelle
AU - Cronenberg, Johanna
AU - Crouzet, Olivier
AU - Dagar, Erica L.
AU - Dawson, Charlotte
AU - Diantoro, Carissa A.
AU - Dokovova, Marie
AU - Drake, Shiloh
AU - Du, Fengting
AU - Dubuis, Margaux
AU - Duême, Florent
AU - Durward, Matthew
AU - Egurtzegi, Ander
AU - Elsherif, Mahmoud M.
AU - Esser, Janina
AU - Ferragne, Emmanuel
AU - Ferreira, Fernanda
AU - Fink, Lauren K.
AU - Finley, Sara
AU - Foster, Kurtis
AU - Foulkes, Paul
AU - Franzke, Rosa
AU - Frazer-McKee, Gabriel
AU - Fromont, Robert
AU - García, Christina
AU - Geller, Jason
AU - Grasso, Camille L.
AU - Greca, Pia
AU - Grice, Martine
AU - Grose-Hodge, Magdalena S.
AU - Gully, Amelia J.
AU - Halfacre, Caitlin
AU - Hauser, Ivy
AU - Hay, Jen
AU - Haywood, Robert
AU - Hellmuth, Sam
AU - Hilger, Allison I.
AU - Holliday, Nicole
AU - Hoogland, Damar
AU - Huang, Yaqian
AU - Hughes, Vincent
AU - Isasa, Ane Icardo
AU - Ilchovska, Zlatomira G.
AU - Jeon, Hae-Sung
AU - Jones, Jacq
AU - Junges, Mágat N.
AU - Kaefer, Stephanie
AU - Kaland, Constantijn
AU - Kelley, Matthew C.
AU - Kelly, Niamh E.
AU - Kettig, Thomas
AU - Khattab, Ghada
AU - Koolen, Ruud
AU - Krahmer, Emiel
AU - Krajewska, Dorota
AU - Krug, Andreas
AU - Kumar, Abhilasha A.
AU - Lander, Anna
AU - Lentz, Tomas O.
AU - Li, Wanyin
AU - Li, Yanyu
AU - Lialiou, Maria
AU - Ronaldo M. Lima, Jr.
AU - Lo, Justin J. H.
AU - Otero, Julio Cesar Lopez
AU - Mackay, Bradley
AU - MacLeod, Bethany
AU - Mallard, Mel
AU - McConnellogue, Carol-Ann Mary
AU - Moroz, George
AU - Murali, Mridhula
AU - Nalborczyk, Ladislas
AU - Nenadić, Filip
AU - Nieder, Jessica
AU - Nikolić, Dušan
AU - Nogueira, Francisco G. S.
AU - Offerman, Heather M.
AU - Passoni, Elisa
AU - Pélissier, Maud
AU - Perry, Scott J.
AU - Pfiffner, Alexandra M.
AU - Proctor, Michael
AU - Rhodes, Ryan
AU - Rodríguez, Nicole
AU - Roepke, Elizabeth
AU - Röer, Jan P.
AU - Sbacco, Lucia
AU - Scarborough, Rebecca
AU - Schaeffler, Felix
AU - Schleef, Erik
AU - Schmitz, Dominic
AU - Shiryaev, Alexander
AU - Sóskuthy, Márton
AU - Spaniol, Malin
AU - Stanley, Joseph A.
AU - Strickler, Alyssa
AU - Tavano, Alessandro
AU - Tomaschek, Fabian
AU - Tucker, Benjamin V.
AU - Turnbull, Rory
AU - Ugwuanyi, Kingsley O.
AU - Urrestarazu-Porta, Iñigo
AU - Vijver, Ruben van de
AU - Engen, Kristin J. Van
AU - Miltenburg, Emiel van
AU - Wang, Bruce Xiao
AU - Warner, Natasha
AU - Wehrle, Simon
AU - Westerbeek, Hans
AU - Wiener, Seth
AU - Winters, Stephen
AU - Wong, Sidney G.-J.
AU - Wood, Anna
AU - Wottawa, Jane
AU - Xu, Chenzi
AU - Zárate-Sández, Germán
AU - Zellou, Georgia
AU - Zhang, Cong
AU - Zhu, Jian
AU - Roettger, Timo B.
N1 - This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
PY - 2023
Y1 - 2023
N2 - Recent empirical studies have highlighted the large degree of analytic flexibility in data analysis that can lead to substantially different conclusions based on the same data set. Thus, researchers have expressed their concerns that these researcher degrees of freedom might facilitate bias and can lead to claims that do not stand the test of time. Even greater flexibility is to be expected in fields in which the primary data lend themselves to a variety of possible operationalizations. The multidimensional, temporally extended nature of speech constitutes an ideal testing ground for assessing the variability in analytic approaches, which derives not only from aspects of statistical modeling but also from decisions regarding the quantification of the measured behavior. In this study, we gave the same speech-production data set to 46 teams of researchers and asked them to answer the same research question, resulting in substantial variability in reported effect sizes and their interpretation. Using Bayesian meta-analytic tools, we further found little to no evidence that the observed variability can be explained by analysts’ prior beliefs, expertise, or the perceived quality of their analyses. In light of this idiosyncratic variability, we recommend that researchers more transparently share details of their analysis, strengthen the link between theoretical construct and quantitative system, and calibrate their (un)certainty in their conclusions.
AB - Recent empirical studies have highlighted the large degree of analytic flexibility in data analysis that can lead to substantially different conclusions based on the same data set. Thus, researchers have expressed their concerns that these researcher degrees of freedom might facilitate bias and can lead to claims that do not stand the test of time. Even greater flexibility is to be expected in fields in which the primary data lend themselves to a variety of possible operationalizations. The multidimensional, temporally extended nature of speech constitutes an ideal testing ground for assessing the variability in analytic approaches, which derives not only from aspects of statistical modeling but also from decisions regarding the quantification of the measured behavior. In this study, we gave the same speech-production data set to 46 teams of researchers and asked them to answer the same research question, resulting in substantial variability in reported effect sizes and their interpretation. Using Bayesian meta-analytic tools, we further found little to no evidence that the observed variability can be explained by analysts’ prior beliefs, expertise, or the perceived quality of their analyses. In light of this idiosyncratic variability, we recommend that researchers more transparently share details of their analysis, strengthen the link between theoretical construct and quantitative system, and calibrate their (un)certainty in their conclusions.
U2 - 10.1177/25152459231162567
DO - 10.1177/25152459231162567
M3 - Article
SN - 2515-2467
VL - 6
SP - 25152459231162567
JO - Advances in Methods and Practices in Psychological Sciences
JF - Advances in Methods and Practices in Psychological Sciences
IS - 3
ER -