Structural equation modeling with interchangeable dyads.

Olsen, Joseph A.; Kenny, David A.

doi:10.1037/1082-989x.11.2.127

Cited by 319 publications

(432 citation statements)

References 19 publications

Supporting

Mentioning

419

Contrasting

Unclassified

Order By: Relevance

“…This type of analysis is designed for nested data. In our study, the data provided by a given individual at Times 1 and 2 are not independent (i.e., data from Times 1 and 2 are nested within individuals), and the data provided by the two partners in a given relationship are not independent (i.e., data from the partners in a relationship are nested within couple; Kenny, Kashy, & Bolger, 1998;Olsen & Kenny, 2006). To analyze our data we used the actor-partner interdependence model (APIM; Cook & Kenny, 2005;Kenny, 1996).…”

Section: Strategy Of Analysismentioning

confidence: 99%

Living Together Apart: Perceived Concealment as a Signal of Exclusion in Marital Relationships

Finkenauer

Kerkhof

Righetti

et al. 2009

Pers Soc Psychol Bull

View full text Add to dashboard Cite

This article examines how perceiving concealment in close relationships influences marital well-being. It suggests that the perception of concealment from a partner signals separateness from one’s partner and contributes to feelings of perceived partner exclusion. These feelings of exclusion, in turn, should negatively affect relational quality. These predictions are tested in a prospective study among 199 newlywed couples. Results suggest that perceiving concealment reduced marital adjustment and trust and increased conflict over time. Importantly, change in perceived partner exclusion mediated these effects. This article demonstrates that the perception of concealment (a) has deleterious effects on relational well-being in the long run and (b) is harmful in part because it elicits feelings of exclusion.

show abstract

Section: Strategy Of Analysismentioning

confidence: 99%

Living Together Apart: Perceived Concealment as a Signal of Exclusion in Marital Relationships

Finkenauer

Kerkhof

Righetti

et al. 2009

Pers Soc Psychol Bull

View full text Add to dashboard Cite

show abstract

“…Also, it offers estimation procedures to correct for nonnormality of the data while providing several statistical indicators needed to easily compare the tenability of nested alternative models. Although some researchers have tried to use SEM to assess indistinguishable dyads (Olsen & Kenny, 2006;Woody & Sadler, 2005), SEM is particularly easy to implement in the analysis of dyadic data when dyads are distinguishable.…”

Section: Conceptual and Measurement Issues In Dyadic Datamentioning

confidence: 99%

How to Use the Actor-Partner Interdependence Model (APIM) To Estimate Different Dyadic Patterns in MPLUS: A Step-by-Step Tutorial

Fitzpatrick¹,

Gareau

Lafontaine³

et al. 2016

TQMP

View full text Add to dashboard Cite

Dyadic data analysis with distinguishable dyads assesses the variance, not only between dyads, but also within the dyad when members are distinguishable on a known variable. In past research, the Actor-Partner Interdependence Model (APIM) has been the statistical model of choice in order to take into account this interdependence. Although this method has received considerable interest in the past decade, to our knowledge, no specific guide or tutorial exists to describe how to test an APIM model. In order to close this gap, this article will provide researchers with a step-by-step tutorial for assessing the most recent advancements of the APIM with the use of structural equation modeling (SEM). The present tutorial will also utilize the statistical program MPLUS.

show abstract

“…We used the Actor Partner Interdependence Model (APIM) to estimate the effects of each smiling signal (average and dynamically engaged smiling during the conversation) on both the signaler's and the receiver's behavior in the prisoner's dilemma (Kenny, Kashy, & Cook, 2006;Olsen & Kenny, 2006). In the APIM each participant in the study serves both as a signaler and as a receiver in statistical analyses, thereby maximizing statistical power.…”

Section: The Current Studymentioning

confidence: 99%

Dynamically engaged smiling predicts cooperation above and beyond average smiling levels

Danvers

Shiota

2018

Evolution and Human Behavior

View full text Add to dashboard Cite

Smiling has been conceptualized as a signal of cooperative intent, yet smiles are easy to fake.We suggest that contextually appropriate, dynamically engaged smiling imposes an attentional cost, thereby making engaged smiling a plausible "honest signal" of cooperative intent. To test this hypothesis, we analyzed data from 123 pairs of same-sex strangers having "getting-to-knowyou" conversations who subsequently played a one-shot prisoner's dilemma together. We calculated the strength of engagement in smiling using a cross-lagged auto-regressive model for dyadic data. We found that when an individual's partner (the signaler) tended to smile in a more responsive way, that individual (the receiver) was more likely to cooperate. Conversely, when a signaler tended to smile in a less responsive way, the receiver was less likely to cooperate. These effects were present over-and-above the effects of average levels of smiling and self-reported liking, which also predicted likelihood of cooperation. However, dynamically engaged smiling did not predict cooperation on the part of the signaler, suggesting that receivers weight the importance of engagement more highly than they should, or even that engaged smiling might be a manipulative display. These results illustrate how conversational dynamics can influence evolutionary signaling.

show abstract

Structural equation modeling with interchangeable dyads.

Cited by 319 publications

References 19 publications

Living Together Apart: Perceived Concealment as a Signal of Exclusion in Marital Relationships

Living Together Apart: Perceived Concealment as a Signal of Exclusion in Marital Relationships

How to Use the Actor-Partner Interdependence Model (APIM) To Estimate Different Dyadic Patterns in MPLUS: A Step-by-Step Tutorial

Dynamically engaged smiling predicts cooperation above and beyond average smiling levels

Contact Info

Product

Resources

About