Partner Attributes (Perceived and Idealized) Scale (PAPIS): Psychometric Evidence

This study aimed to provide evidence of construct validity and reliability for a measure assessing perceived and idealized partner attributes across two dimensions: achievement and sexuality. In Study 1 (N = 387; Mage = 25.4, SDage = 8.88; 52.2% women), exploratory analyses supported the expected two-dimensional structure, with satisfactory internal consistency (α > .70). In Study 2 (N = 200; Mage = 36.3, SDage = 12.88; 72.5% women), multidimensional scaling (ALSCAL) supported the representation of achievement-sexuality and perceived-idealized attributes within a two-dimensional space. Confirmatory factor analyses supported the two-factor structure of both versions, with adequate fit indices and reliability estimates. Measurement invariance analyses indicated comparable factor structures across gender, supporting meaningful comparisons between men and women. Multivariate analyses of covariance using the combined sample revealed gender and contextual differences in partner attribute importance, including participants from an urban state capital and a smaller municipality with a lower Human Development Index in Northeastern Brazil. Construct validity was further supported by associations with human values and dark personality traits, with idealized partner attributes more consistently related to excitement values and narcissistic traits. Overall, findings support the psychometric adequacy and utility of this brief measure for research on partner preferences and individual differences.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-20
DOI
https://doi.org/10.5281/zenodo.22032617
Primary Topic
Attachment and Relationship Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Partner Attributes (Perceived and Idealized) Scale (PAPIS): Psychometric Evidence

Patrícia Nunes da Fonsêca, Valdiney Velôso Gouveia, Thiago Medeiros Cavalcanti, Fadja Cardoso
Zenodo (CERN European Organization for Nuclear Research)
Attachment and Relationship Dynamics
article

Partner Attributes (Perceived and Idealized) Scale (PAPIS): Psychometric Evidence

Patrícia Nunes da Fonsêca, Valdiney Velôso Gouveia, Thiago Medeiros Cavalcanti, Fadja Cardoso
article en

Abstract

This study aimed to provide evidence of construct validity and reliability for a measure assessing perceived and idealized partner attributes across two dimensions: achievement and sexuality. In Study 1 (N = 387; Mage = 25.4, SDage = 8.88; 52.2% women), exploratory analyses supported the expected two-dimensional structure, with satisfactory internal consistency (α > .70). In Study 2 (N = 200; Mage = 36.3, SDage = 12.88; 72.5% women), multidimensional scaling (ALSCAL) supported the representation of achievement-sexuality and perceived-idealized attributes within a two-dimensional space. Confirmatory factor analyses supported the two-factor structure of both versions, with adequate fit indices and reliability estimates. Measurement invariance analyses indicated comparable factor structures across gender, supporting meaningful comparisons between men and women. Multivariate analyses of covariance using the combined sample revealed gender and contextual differences in partner attribute importance, including participants from an urban state capital and a smaller municipality with a lower Human Development Index in Northeastern Brazil. Construct validity was further supported by associations with human values and dark personality traits, with idealized partner attributes more consistently related to excitement values and narcissistic traits. Overall, findings support the psychometric adequacy and utility of this brief measure for research on partner preferences and individual differences.

Zenodo (CERN European Organization for Nuclear Research)
Gender equality
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.