Mediation, Moderation, and Conditional Process Analysis

Rockwood, Nicholas; Hayes, Andrew F.

doi:10.1017/9781316995808.037

Cited by 90 publications

(55 citation statements)

References 50 publications

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“…The mediation or indirect effect is then tested against a 95% CI, constructed by a simulation method. To this end, we used the MLMED macro in IBM SPSS Version 25 (Rockwood & Hayes, 2017), selecting only the moments in which partners were together. This analysis is based on correlational, cross-sectional data and cannot provide strong causal conclusions (Bullock, Green, & Ha, 2010; Giner-Sorolla, 2016).…”

Section: Resultsmentioning

confidence: 99%

Actual and Perceived Emotional Similarity in Couples’ Daily Lives

Sels

Ruan

Kuppens

et al. 2019

Social Psychological and Personality Science

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We used two experience sampling studies to examine whether close romantic partners’ feelings of love and perceived partner responsiveness are better predicted by their actual emotional similarity or by their perceived emotional similarity. Study 1 revealed that the more partners were emotionally similar, the more they perceived their partner as responsive. This effect was mediated by perceived similarity, indicating that emotional similarity had to be detected in order to exert an effect. Further, when people overperceived their emotional similarities, they also reported more perceived partner responsiveness. Study 2 replicated these findings, by revealing similar effects for actual and perceived similarity on the love people reported to feel toward their partner. Implications for understanding the factors that predict feelings of love and responsiveness in close relationships are discussed.

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Section: Resultsmentioning

confidence: 99%

Actual and Perceived Emotional Similarity in Couples’ Daily Lives

Sels

Ruan

Kuppens

et al. 2019

Social Psychological and Personality Science

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“…Finally, we predicted that distracted communication during interaction mediates the relationship between rumination/worry and affective well‐being (H5) and loneliness (H6). These hypotheses represent 1‐1‐1 multilevel mediation models (Rockwood & Hayes, ), whereby all of the variables are measured at the within‐person level and were collected in the same survey moment. We tested the hypothesized models using Rockwood and Hayes' () MLMed macro.…”

Section: Resultsmentioning

confidence: 99%

“…These hypotheses represent 1‐1‐1 multilevel mediation models (Rockwood & Hayes, ), whereby all of the variables are measured at the within‐person level and were collected in the same survey moment. We tested the hypothesized models using Rockwood and Hayes' () MLMed macro. Although we are primarily interested in level‐1 variables, we also included the between‐person, or level‐2 variables, in the models, along with time as covariates.…”

Section: Resultsmentioning

confidence: 99%

Perseverative cognition, distracted communication, and well‐being in everyday social interaction

Merolla

Hall

Bernhold

2019

Personal Relationships

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This study examined how rumination and worry experienced within varying contexts of everyday life are associated with current‐moment and cross‐moment indicators of subjective well‐being. We also investigated if, in the context of social interaction, distracted communication uniquely predicts subjective well‐being and mediates the link between perseverative cognition and well‐being. Using experience sampling, we found that the effects of rumination and worry on subjective well‐being were social‐context dependent. Rumination experienced alone, relative to during interaction, was a stronger positive predictor of current and later‐in‐the‐day loneliness. In contrast, worry experienced alone, but not during interaction, negatively predicted later loneliness. Distracted communication accounted for unique variance in current affective well‐being and current and later loneliness, but its role as a mediator was uncertain.

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“…As a next step, we examined condition differences (gratitude group vs. control group) in these indirect effects by testing a multilevel moderated mediation model (conditional indirect effects). Multilevel conditional indirect effects were tested via the MLMed macro in SPSS (Rockwood & Hayes, 2017).…”

Section: Methodsmentioning

confidence: 99%

Gratitude and Loneliness: Enhancing Health and Well-Being in Older Adults

Bartlett

Arpin

2019

Res Aging

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We experimentally investigated gratitude’s impact on loneliness and health in older adults. Participants were assigned to a daily gratitude writing exercise (treatment group) or a control group. Self-reported loneliness and health (i.e., subjective well-being, subjective health, health symptoms) were measured daily over a 3-week period. In support of our hypotheses, within-person variability in gratitude predicted differences in loneliness and health. Furthermore, those in the treatment group showed stronger cumulative effects of gratitude on loneliness and health symptoms when aggregated across the 20-day study. Additionally, a series of conditional, multilevel indirect effect models found that loneliness acted as a mechanism for gratitude’s differential impact on subjective well-being and health symptoms across conditions. Taken together, this study provides initial evidence that a simple gratitude exercise can strengthen associations among daily gratitude and loneliness and, consequently, improve health, for older adults.

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Mediation, Moderation, and Conditional Process Analysis

Cited by 90 publications

References 50 publications

Actual and Perceived Emotional Similarity in Couples’ Daily Lives

Actual and Perceived Emotional Similarity in Couples’ Daily Lives

Perseverative cognition, distracted communication, and well‐being in everyday social interaction

Gratitude and Loneliness: Enhancing Health and Well-Being in Older Adults

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