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David A. Kenny
University of Connecticut
176Publications
65H-index
13.6kCitations
Publications 177
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3 CitationsSource
2 CitationsSource
#1Bárbara Figueiredo (University of Minho)H-Index: 28
#2Catarina Canário (University of Minho)H-Index: 5
Last.Tiffany M Field (UM: University of Miami)H-Index: 90
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Abstract Background The association between the couple relationship and the mothers’ and fathers’ psychological adjustment to the transition to parenthood has been examined in the literature. However, the direction of effects between these variables has not been extensively explored. This study aimed to assess the direction of effects between mothers’ and fathers’ positive and negative interactions and anxiety and depression symptoms trajectories over the transition to parenthood. Methods A samp...
5 CitationsSource
#1David A. Kenny (UConn: University of Connecticut)H-Index: 65
1 CitationsSource
#1Daniel Lakens (TU/e: Eindhoven University of Technology)H-Index: 26
#2Federico G. Adolfi (MPG: Max Planck Society)H-Index: 1
Last.Rolf A. Zwaan (EUR: Erasmus University Rotterdam)H-Index: 50
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In response to recommendations to redefine statistical significance to P ≤ 0.005, we propose that researchers should transparently report and justify all choices they make when designing a study, including the alpha level.
73 CitationsSource
#1Lara Stas (UGent: Ghent University)H-Index: 3
#2David A. Kenny (UConn: University of Connecticut)H-Index: 65
Last.Tom Loeys (UGent: Ghent University)H-Index: 5
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The actor-partner interdependence model (APIM) is widely used for analyzing dyadic data. Although dyadic research has become immensely popular, its statistical complexity might be a barrier. To remedy this, a free user-friendly web application, called APIM_SEM, has been developed. This app automatically performs the statistical analyses (i.e., structural equation modeling) of both simple and more complex APIMs. It allows the researcher to analyze distinguishable or indistinguishable dyads, to ex...
8 CitationsSource
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#1Charles M. Judd (CU: University of Colorado Boulder)H-Index: 61
#2Jacob Westfall (CU: University of Colorado Boulder)H-Index: 9
Last.David A. KennyH-Index: 65
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Traditional methods of analyzing data from psychological experiments are based on the assumption that there is a single random factor (normally participants) to which generalization is sought. However, many studies involve at least two random factors (e.g., participants and the targets to which they respond, such as words, pictures, or individuals). The application of traditional analytic methods to the data from such studies can result in serious bias in testing experimental effects. In this re...
55 CitationsSource
#1Thomas Ledermann (USU: Utah State University)H-Index: 19
#2David A. Kenny (UConn: University of Connecticut)H-Index: 65
Multilevel modeling (MLM) and structural equation modeling (SEM) are the dominant methods for the analysis of dyadic data. Both methods are extensively reviewed for the widely used actor–partner interdependence model and the dyadic growth curve model, as well as other less frequently adopted models,
29 CitationsSource
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