Estructura del bienestar subjetivo mediante análisis bifactor: ¿unidimensional o multidimensional?

Lucas Lapuente; Sergio Dominguez-Lara; Pablo Ezequiel Flores-Kanter; Leonardo Adrián Medrano

doi:10.15689/ap.2018.1702.14521.11

Estructura del bienestar subjetivo mediante análisis bifactor: ¿unidimensional o multidimensional?

Translated title of the contribution: Subjective well-being, unidimensional or multidimensional? Bi-factor analysis in a sample of college students

Lucas Lapuente
, Sergio Dominguez-Lara
, Pablo Ezequiel Flores-Kanter
, Leonardo Adrián Medrano

Research output: Contribution to journal › Original Article › peer-review

7 Scopus citations

Abstract

In the present study the subjective well-being structure (WB) proposed by Diener (1985) was analyzed through application of a bifactor model. A total of 281 students from Córdoba, Argentina, 61.2% women, M_age=21.7, participated in the study, and were evaluated with Satisfaction with Life Scale (LS), and the Positive and Negative Affect Schedule (PA and NA, respectively). Confirmatory factor analysis was performed to evaluate two models: oblique (PA, NA and LS) and bi-factor with a general factor (GF) representing WB, and three specific ones. The bi-factor model had a better fit, although results obtained (e.g., ω_h) indicate that GF only accounts for 15.9% of the variability of scores. For this reason, the model proposed by Diener (1985) has more support, which shows evidence on the multidimensionality of WB by differentiating affective and cognitive.

Translated title of the contribution	Subjective well-being, unidimensional or multidimensional? Bi-factor analysis in a sample of college students
Original language	Spanish
Pages (from-to)	252-259
Number of pages	8
Journal	Avaliacao Psicologica
Volume	17
Issue number	2
DOIs	https://doi.org/10.15689/ap.2018.1702.14521.11
State	Indexed - 2018
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2018 Instituto Brasileiro de Avaliacao Psicologica. All rights reserved.

Access to Document

10.15689/ap.2018.1702.14521.11

Cite this

@article{c3bebb6f10d647acbdd63e097851ad87,

title = "Estructura del bienestar subjetivo mediante an{\'a}lisis bifactor: ¿unidimensional o multidimensional?",

abstract = "In the present study the subjective well-being structure (WB) proposed by Diener (1985) was analyzed through application of a bifactor model. A total of 281 students from C{\'o}rdoba, Argentina, 61.2\% women, Mage=21.7, participated in the study, and were evaluated with Satisfaction with Life Scale (LS), and the Positive and Negative Affect Schedule (PA and NA, respectively). Confirmatory factor analysis was performed to evaluate two models: oblique (PA, NA and LS) and bi-factor with a general factor (GF) representing WB, and three specific ones. The bi-factor model had a better fit, although results obtained (e.g., ωh) indicate that GF only accounts for 15.9\% of the variability of scores. For this reason, the model proposed by Diener (1985) has more support, which shows evidence on the multidimensionality of WB by differentiating affective and cognitive.",

keywords = "Affection, Bi-factor model, Satisfaction with life, Subjective well-being",

author = "Lucas Lapuente and Sergio Dominguez-Lara and Flores-Kanter, \{Pablo Ezequiel\} and Medrano, \{Leonardo Adri{\'a}n\}",

year = "2018",

doi = "10.15689/ap.2018.1702.14521.11",

language = "Espa{\~n}ol",

volume = "17",

pages = "252--259",

journal = "Avaliacao Psicologica",

issn = "1677-0471",

publisher = "Instituto Brasileiro de Avaliacao Psicologica",

number = "2",

}

TY - JOUR

T1 - Estructura del bienestar subjetivo mediante análisis bifactor

T2 - ¿unidimensional o multidimensional?

AU - Lapuente, Lucas

AU - Dominguez-Lara, Sergio

AU - Flores-Kanter, Pablo Ezequiel

AU - Medrano, Leonardo Adrián

PY - 2018

Y1 - 2018

N2 - In the present study the subjective well-being structure (WB) proposed by Diener (1985) was analyzed through application of a bifactor model. A total of 281 students from Córdoba, Argentina, 61.2% women, Mage=21.7, participated in the study, and were evaluated with Satisfaction with Life Scale (LS), and the Positive and Negative Affect Schedule (PA and NA, respectively). Confirmatory factor analysis was performed to evaluate two models: oblique (PA, NA and LS) and bi-factor with a general factor (GF) representing WB, and three specific ones. The bi-factor model had a better fit, although results obtained (e.g., ωh) indicate that GF only accounts for 15.9% of the variability of scores. For this reason, the model proposed by Diener (1985) has more support, which shows evidence on the multidimensionality of WB by differentiating affective and cognitive.

AB - In the present study the subjective well-being structure (WB) proposed by Diener (1985) was analyzed through application of a bifactor model. A total of 281 students from Córdoba, Argentina, 61.2% women, Mage=21.7, participated in the study, and were evaluated with Satisfaction with Life Scale (LS), and the Positive and Negative Affect Schedule (PA and NA, respectively). Confirmatory factor analysis was performed to evaluate two models: oblique (PA, NA and LS) and bi-factor with a general factor (GF) representing WB, and three specific ones. The bi-factor model had a better fit, although results obtained (e.g., ωh) indicate that GF only accounts for 15.9% of the variability of scores. For this reason, the model proposed by Diener (1985) has more support, which shows evidence on the multidimensionality of WB by differentiating affective and cognitive.

KW - Affection

KW - Bi-factor model

KW - Satisfaction with life

KW - Subjective well-being

UR - https://www.scopus.com/pages/publications/85059256541

U2 - 10.15689/ap.2018.1702.14521.11

DO - 10.15689/ap.2018.1702.14521.11

M3 - Artículo original

AN - SCOPUS:85059256541

SN - 1677-0471

VL - 17

SP - 252

EP - 259

JO - Avaliacao Psicologica

JF - Avaliacao Psicologica

IS - 2

ER -

Estructura del bienestar subjetivo mediante análisis bifactor: ¿unidimensional o multidimensional?

Abstract

Bibliographical note

Access to Document

Fingerprint

Cite this