| Literature DB >> 36003312 |
Mariagiovanna Caprara1, Maria Gerbino2, Minou Ella Mebane3, Isabel M Ramirez-Uclés1.
Abstract
Two studies were carried out on a Spanish population to explore the extent to which different self-efficacy beliefs in managing positive emotions are associated with common indicators of wellbeing, such as positive and negative affect or life satisfaction. The first study was conducted on 483 participants and attested to the factorial structure of three different self-efficacy beliefs: (a) perceived self-efficacy in expressing positive emotions; (b) perceived self-efficacy in retrieving memories of positive emotional experiences; and (c) perceived self-efficacy in using humor. The second study was carried out on 1,087 individuals between 19 and 80 years of age, and it provided evidence of the factorial invariance of the scales across age and gender. Furthermore, this latter study showed the association of self-efficacy in managing positive affect (SEMPA) with high chronic positive and low negative affect, and with high life satisfaction, controlling for gender and age. In younger participants, stronger associations were found between perceived self-efficacy in using humor and life satisfaction compared to older subjects. These findings may guide the design of interventions aimed at enhancing the potential benefits that could be drawn from the proper management of positive emotions.Entities:
Keywords: life satisfaction; negative affect; positive affect; positive emotions; self-efficacy
Year: 2022 PMID: 36003312 PMCID: PMC9393478 DOI: 10.3389/fnhum.2022.927648
Source DB: PubMed Journal: Front Hum Neurosci ISSN: 1662-5161 Impact factor: 3.473
Fit indices for the confirmatory factor analysis (CFA) of the self-efficacy in managing positive affect (SEMPA) in the Spanish sample.
| Models | χ2 |
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| Model 1: Unique factor | 337.54 | 44 | 0.73 | 0.12 | [0.10–0.13] | 0.078 | 14,176.24 |
| Model 2: 1st order oblique factors | 88.64 | 41 | 0.96 | 0.049 | [0.035–0.063] | 0.035 | 13,933.33 |
| Model 3: 1st order orthogonal factors | 193.99 | 43 | 0.86 | 0.085 | [0.073–0.098] | 0.12 | 14,034.69 |
For each sample, Model 1 refers to one factor with 11 items; Model 2 refers to two correlated, first-order factors (SE/MEM and SE/HUM, SE/POS each with four items); Model 3 refers to two orthogonal first-order factors (SE/MEM and SE/HUM, each with four items).
FIGURE 1Path diagram of the factorial structure of self-efficacy in managing positive emotions.
Fit indices for gender and age invariance of self-efficacy in managing positive emotions.
| χ2 |
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| Δχ2 | Δ |
| Δ | |
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| Model 1: Configural invariance | 170.78 | 80 | 0.97 | 0.046 | 0.036–0.055 | 0.035 | ||||
| Model 2: Metric invariance | 180.64 | 88 | 0.97 | 0.044 | 0.035–0.053 | 0.040 | 9.86 | 8 | 0.28 | 0.001 |
| Model 3: Scalar invariance | 203.38 | 96 | 0.96 | 0.045 | 0.037–0.054 | 0.044 | 32.60 | 16 | 0.008 | 0.005 |
| Model 3a: Partial scalar | 195.89 | 95 | 0.97 | 0.044 | 0.035–0.053 | 0.043 | 15.26 | 15 | 0.033 | 0.003 |
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| Model 1: Configural invariance | 219.29 | 120 | 0.97 | 0.048 | 0.038–0.058 | 0.039 | ||||
| Model 2: Metric invariance | 242.18 | 135 | 0.96 | 0.15 | 0.037–0.056 | 0.049 | 22.89 | 15 | 0.086 | 0.002 |
| Model 3: Scalar invariance | 286.74 | 152 | 0.95 | 0.049 | 0.041–0.058 | 0.055 | 44.57 | 17 | 0.000 | 0.010 |
| Model 3a: Partial scalar | 277.51 | 151 | 0.96 | 0.048 | 0.039–0.057 | 0.055 | 35.33 | 16 | 0.004 | 0.007 |
In the age invariance, the intercept of the item 8 was released in the 35–59 group.
Gender and age differences in the dimensions of self-efficacy for the management of positive emotions and for indicators of wellbeing.
| All | Men | Women | Younger | Middle | Older | ||||||||
| M | SD | M | SD | M | SD | M | SD | M | SD | M | SD | Gender and age effects | |
| SE_POS | 3.96 | 0.72 | 3.89 | 0.032 | 4.05 | 0.032 | 3.96 | 0.038 | 3.93 | 0.032 | 4.02 | 0.046 | Gender: |
| SE_MEM | 3.36 | 0.79 | 3.36 | 0.036 | 3.36 | 0.035 | 3.33 | 0.042 | 3.35 | 0.036 | 3.40 | 0.051 | Gender: |
| SE_HUM | 3.50 | 0.79 | 3.54 | 0.036 | 3.46 | 0.035 | 3.55 | 0.042 | 3.50 | 0.035 | 3.45 | 0.051 | Gender: |
| Life satisfaction | 3.39 | 0.83 | 3.38 | 0.84 | 3.40 | 0.82 | 3.31 | 0.82 | 3.37 | 0.81 | 3.55 | 0.860 | Gender: |
| Positive affect | 2.95 | 0.51 | 2.93 | 0.51 | 2.97 | 0.52 | 2.91 | 0.55 | 2.95 | 0.49 | 2.95 | 0.570 | Gender: |
| Negative affect | 1.97 | 0.56 | 1.96 | 0.55 | 1.99 | 0.56 | 2.01 | 0.55 | 1.97 | 0.55 | 1.94 | 0.570 | Gender: |
FIGURE 2Plot of the interaction of self-efficacy beliefs in using humor and age in predicting life satisfaction.
Correlations among the socio-demographic variables, self-efficacy beliefs in managing positive emotions, and indicators of positive affect, negative affect, and life satisfaction.
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | |
| (1) Gender | |||||||||
| (2) Age | 0.030 | ||||||||
| (3) Education | –0.018 | −0.26 | |||||||
| (4) SE/POS | 0.12 | 0.011 | 0.054 | ||||||
| (5) SE/PMEM | –0.011 | –0.018 | 0.048 | 0.36 | |||||
| (6) SE/HUM | –0.041 | –0.055 | 0.058 | 0.35 | 0.39 | ||||
| (7) Life satisfaction | 0.014 | 0.095 | 0.024 | 0.35 | 0.35 | 0.36 | |||
| (8) Positive affect | 0.031 | –0.009 | 0.089 | 0.44 | 0.32 | 0.40 | 0.48 | ||
| (9) Negative affect | 0.026 | –0.051 | –0.042 | −0.30 | −0.22 | −0.19 | −0.31 | −0.26 |
**p < 0.01; ***p < 0.001.
Results of hierarchical regressions analyses (HRA) of socio-demographic variables and of self-efficacy in managing positive emotions on indicators of wellbeing.
| Life satisfaction | Positive affect | Negative affect | |||||||
| β | (SE) | β | (SE) | β | (SE) | ||||
| Step 1 | 0.012 | 0.009 | |||||||
| Gender | 0.022 | 0.050 | 0.037 | 0.031 | 0.006 | ||||
| Age | 0.006 | 0.002 | 0.00 | 0.001 | 0.030 | 0.034 | |||
| Education | 0.043 | 0.026 | 0.047 | 0.016 | −0.002 | 0.001 | |||
| −0.032 | 0.017 | ||||||||
| Step 2 | 0.21 | 0.26 | |||||||
| SE/POS | 0.22 | 0.036 | 0.21 | 0.021 | 0.10 | ||||
| SE/MEM | 0.20 | 0.032 | 0.081 | 0.019 | −0.19 | 0.026 | |||
| SE/HUM | 0.22 | 0.033 | 0.15 | 0.020 | −0.075 | 0.023 | |||
| Step 3 | 0.017 | 0.06 | |||||||
| Gender × Age | −0.004 | 0.003 | 0.001 | 0.002 | 0.006 | ||||
| SE/POS × Gender | 0.16 | 0.071 | −0.015 | 0.043 | 0.001 | 0.002 | |||
| SE/MEM × Gender | 0.072 | 0.063 | 0.023 | 0.038 | −0.064 | 0.051 | |||
| SE/HUM × Gender | −0.18 | 0.065 | 0.071 | 0.040 | 0.047 | 0.047 | |||
| SE/POS × Age | 0.002 | 0.002 | 0.002 | 0.001 | 0.043 | 0.002 | |||
| SE/MEM × Age | −0.001 | 0.002 | 0.000 | 0.001 | −0.023 | ||||
| SE/HUM × Age | −0.007 | 0.002 | 0.001 | 0.001 | 0.014 | ||||
| Adjusted | 0.24 | 0.27 | 0.11 | ||||||
**p < 0.01; *** p < 0.001. Sex was coded as 0 = men and 1 = women.