Bridging Hearts: Developing and Validating Experimental Manipulations of Closeness Motivation in Romantic Relationships

ABSTRACT This study aimed to validate experimental manipulations to increase state closeness motivation toward the romantic partner which are implemented in everyday life via smartphone. Drawing on motive disposition theory and the Zurich Model of Social Motivation, we derived three motivation‐arousing mechanisms—incentive, disincentive, and deprivation—and implemented 18 manipulation variants across six media formats (videos, audio stories, podcasts, songs, guided memories, and personal photos). In a within‐person experience‐sampling design over 8 days, 269 participants in romantic relationships completed one manipulation or control task per day in their daily life. Sequential Bayesian hypothesis testing with Bayes factors was used to efficiently evaluate each manipulation's effectiveness. Results showed that 10 of the tested manipulation variants reliably increased state closeness motivation; four failed to do so, and four variants yielded inconclusive evidence. Construct validation analyses showed mixed results. While some variants did precisely manipulate closeness motivation, other variants also influenced affective states, agency‐related motivations, or relationship evaluations, partly to a larger extent than closeness motivation itself. Overall, the effective manipulation variants provide a flexible toolbox for future research in naturalistic settings.

Authors

Institutions

Publication Details

Journal
Personal Relationships
Published
2026-08-28
DOI
https://doi.org/10.1111/pere.70082
Primary Topic
Attachment and Relationship Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bridging Hearts: Developing and Validating Experimental Manipulations of Closeness Motivation in Romantic Relationships

Felix D. Schönbrodt, Caroline Zygar–Hoffmann, T. H. Nensy Le
Personal Relationships
Attachment and Relationship Dynamics
article

Bridging Hearts: Developing and Validating Experimental Manipulations of Closeness Motivation in Romantic Relationships

Felix D. Schönbrodt, Caroline Zygar–Hoffmann, T. H. Nensy Le
article en

Abstract

ABSTRACT This study aimed to validate experimental manipulations to increase state closeness motivation toward the romantic partner which are implemented in everyday life via smartphone. Drawing on motive disposition theory and the Zurich Model of Social Motivation, we derived three motivation‐arousing mechanisms—incentive, disincentive, and deprivation—and implemented 18 manipulation variants across six media formats (videos, audio stories, podcasts, songs, guided memories, and personal photos). In a within‐person experience‐sampling design over 8 days, 269 participants in romantic relationships completed one manipulation or control task per day in their daily life. Sequential Bayesian hypothesis testing with Bayes factors was used to efficiently evaluate each manipulation's effectiveness. Results showed that 10 of the tested manipulation variants reliably increased state closeness motivation; four failed to do so, and four variants yielded inconclusive evidence. Construct validation analyses showed mixed results. While some variants did precisely manipulate closeness motivation, other variants also influenced affective states, agency‐related motivations, or relationship evaluations, partly to a larger extent than closeness motivation itself. Overall, the effective manipulation variants provide a flexible toolbox for future research in naturalistic settings.

Personal RelationshipsVol. 33(3)
Hochschule Fresenius (DE), Ludwig-Maximilians-Universität München (DE)
Deutsche Forschungsgemeinschaft, Ludwig-Maximilians-Universität München
Openalex Percentile: Top 6%
Attachment and Relationship Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.