2021
DOI: 10.1007/s12144-020-01316-9
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The diverging patterns of life satisfaction between families: A latent profile analysis in dual-earner parents with adolescents

Abstract: This study identifies family profiles based on the level of life satisfaction (LS) in mothers, fathers and adolescents, and variables related to their family, food, and work life. The sample was composed of 303 families of dual-earner parents (mothers’ mean age = 40.9 years, SD = 7.4, fathers’ mean age = 43.2 years, SD = 7.2) and one of their children aged between 10 and 17 years (mean age 13.3, SD = 2.4, 51.5% female). A Latent Profile Analysis (LPA) was used to identify five family profiles. Profiles differe… Show more

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Cited by 5 publications
(9 citation statements)
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References 78 publications
(202 reference statements)
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“…In particular, family satisfaction correlated positively with both the affective component (i.e., positive affect and positive emotions) and the cognitive component (i.e., life satisfaction) of happiness [ 36 , 37 , 71 , 147 , 148 , 149 , 150 ]. Furthermore, family life satisfaction was positively associated with children’s positive affect [ 148 , 151 , 152 , 153 ] and happiness [ 38 , 126 ], from the perspectives of both children [ 1 , 154 , 155 , 156 , 157 , 158 , 159 , 160 , 161 , 162 , 163 , 164 , 165 , 166 , 167 ] and parents [ 27 , 73 , 168 , 169 ]. However, one study reported a non-significant positive correlation between happiness and family satisfaction [ 38 ].…”
Section: Resultsmentioning
confidence: 99%
“…In particular, family satisfaction correlated positively with both the affective component (i.e., positive affect and positive emotions) and the cognitive component (i.e., life satisfaction) of happiness [ 36 , 37 , 71 , 147 , 148 , 149 , 150 ]. Furthermore, family life satisfaction was positively associated with children’s positive affect [ 148 , 151 , 152 , 153 ] and happiness [ 38 , 126 ], from the perspectives of both children [ 1 , 154 , 155 , 156 , 157 , 158 , 159 , 160 , 161 , 162 , 163 , 164 , 165 , 166 , 167 ] and parents [ 27 , 73 , 168 , 169 ]. However, one study reported a non-significant positive correlation between happiness and family satisfaction [ 38 ].…”
Section: Resultsmentioning
confidence: 99%
“…Latent pro le analysis (LPA) is a person-centered approach that determines heterogeneity pro les of dyadic QoL, categorizing them as diverging subgroups that are internally homogeneous [30] based on the patterns of means on observed variables (i.e., the eight dimensions of QoL in this study). The optimal number of pro les was evaluated using model-t indices, such as the Akaike information criterion (AIC), Bayesian information criterion (BIC), sample-size-adjusted BIC (aBIC), entropy, the Vuong-Lo-Mendell-Rubin likelihood ratio test (LMR), and the bootstrapped likelihood ratio test (BLRT).…”
Section: Discussionmentioning
confidence: 99%
“…The first step was to group families based on the mothers’, fathers’, and adolescents’ SWFaL scores. A similar approach using the same measure for dyadic or triadic data (i.e., couples, family members) has proven appropriate to identify couple or family profiles (Schnettler et al, 2021; Vieira et al, 2018). Family satisfaction profiles for mother–father–adolescent triads were estimated by a latent profile (LP) analysis for continuous variables (Vermunt & Magidson, 2002), using Latent Gold 5.1 statistics software (Statistical Innovations Inc.).…”
Section: Methodsmentioning
confidence: 99%
“…After the three family members were grouped into profiles based on their SWFaL scores, these profiles were compared by the statistical differences found in the variables concurrent with these scores. These comparisons were conducted following previous studies using dyadic and triadic data from couples and families (Schnettler, Grunert, Orellana, et al, 2021; Vieira et al, 2018), and other latent profile analysis studies in family subgroups (Borden et al, 2014; Withers, 2020). Pearson's chi‐squared test was used for discrete variables such as some sociodemographic characteristics.…”
Section: Methodsmentioning
confidence: 99%
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