Gender differences in variability of intimate relationship satisfaction in a multinational sample.

Authors

Mark A. Whisman (ORCID: https://orcid.org/0000-0003-1821-7569)
Ashley K. Randall (ORCID: https://orcid.org/0000-0003-3794-4163)
Piotr Sorokowski (ORCID: https://orcid.org/0000-0001-9225-9965)

Institutions

University of Colorado Boulder (US)
University of Wrocław (PL)
Czech Academy of Sciences, Institute of Psychology (CZ)
Arizona State University (US)

Publication Details

Journal: Journal of Family Psychology
Published: 2025-04-24
DOI: https://doi.org/10.1037/fam0001349
Citations: 2
Primary Topic: Attachment and Relationship Dynamics
Type: article
Field-Weighted Citation Impact: 4.88

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Gender differences in variability of intimate relationship satisfaction in a multinational sample.

Mark A. Whisman, Ashley K. Randall, Piotr Sorokowski

Apr 24, 2025

2 citations

Journal of Family Psychology

Attachment and Relationship Dynamics

4.88

article

Gender differences in variability of intimate relationship satisfaction in a multinational sample.

Mark A. Whisman, Ashley K. Randall, Piotr Sorokowski

April 24, 2025article en

2 citations

Abstract

No abstract available for this paper.

Journal of Family PsychologyVol. 39(4)

University of Colorado Boulder (US), University of Wrocław (PL), Czech Academy of Sciences, Institute of Psychology (CZ), Arizona State University (US)

Gender equality

Openalex Percentile: Top 6%

Attachment and Relationship Dynamics

4.88

DOI Source OpenAlex

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.