A note on the score reliability for the Satisfaction With Life Scale: an RG study

Vassar, Matt

doi:10.1007/s11205-007-9113-7

Cited by 129 publications

(99 citation statements)

References 71 publications

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“…A later study found a moderate mean Cronbach's alpha coefficient (α = 0.78) for the SWLS and attributed the moderate score to the small number of items in the scale [44].…”

Section: Subjective Wellbeing Measurementioning

confidence: 97%

Recreating the Relationship between Subjective Wellbeing and Personality Using Machine Learning: An Investigation into Facebook Online Behaviours

Marinucci

Kraska

Costello

2018

BDCC

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Abstract:The twenty-first century has delivered technological advances that allow researchers to utilise social media to predict personal traits and psychological constructs. This article aims to further our understanding of the relationship between subjective wellbeing (SWB) and the Five Factor Model (FFM) of personality by attempting to replicate the relationship using machine learning prediction models. Data from the myPersonality Project was used; with observed SWB scores derived from the Satisfaction With Life Scale (SWLS) and Five Factor Model (FFM) personality profiles generated using responses on the 100-item IPIP proxy of the NEO-PI-R. After data cleaning, FFM personality traits and SWB scores were predicted by reducing Facebook Likes into 50 dimensions using SVD and then running the data through six multiple regressions (fitting the model via least squares and splitting the data via k-folds validation) with the Likes dimensions as predictors and each of the FFM traits and the SWB score as response variables. Standard multiple regression analyses were conducted for the observed and machine learning predicted variables to compare the relationships in the context of previous literature. The results revealed that in the observed model, high SWB was predicted by high extraversion, conscientiousness, and agreeableness, and low openness to experience and neuroticism as per previous research. For the machine learning model, high SWB was predicted by high extraversion, openness to experience, conscientiousness, and agreeableness, and low neuroticism. The relationships between SWB and extraversion, neuroticism, and conscientiousness were successfully replicated in the machine learning model. Openness to experience changed direction in its relationship with SWB from the observed to machine learning-derived variables due to failure to accurately recreate the variable, and agreeableness was multicollinear with SWB in the machine learning model due to the unknowing use of identical digital behaviours to replicate each construct. Implications of the results and directions for future research are discussed.

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“…A later study found a moderate mean Cronbach's alpha coefficient (α = 0.78) for the SWLS and attributed the moderate score to the small number of items in the scale [44].…”

Section: Subjective Wellbeing Measurementioning

confidence: 97%

Recreating the Relationship between Subjective Wellbeing and Personality Using Machine Learning: An Investigation into Facebook Online Behaviours

Marinucci

Kraska

Costello

2018

BDCC

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“…Female sexual function index is a scale used to measure sexual function in women. This scale has been designed by Rosen [22]. The reliability of the scale and subscale was calculated through Cronbach's alpha coefficient that was estimated more than 0.70 for the total population indicating good reliability of this instrument.…”

Section: Data Used In This Study Were As Followmentioning

confidence: 99%

Life Satisfaction Related to Intended and Unintended Pregnancies of Rural Women in Bangladesh

Darwin¹

2017

AJBR

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Life satisfaction is the most pivotal elements that arise in marital satisfaction of couples. The purpose of this study was to show the importance of mental health and life satisfaction of pregnant women during pregnancy. This study was conducted on two groups of subjects, women with intended pregnancy (n = 101) and women with unintended pregnancy (n = 100), a total of 201 patients who admitted to one of the hospitals of Community Clinic Project, Fatepur, Pirganj, Rangpur for medical examination and a period of maternity. Sampling was done in a purposive sampling manner. The method of the study was a cause and effect-comparative one. The used questionnaire was made by the researcher consisting of the demographic variables, satisfaction with life and Diner short form of sexual function. After obtaining consent, questionnaire was completed by the complementary method. Descriptive statistics, percentage, mean and standard deviation were used to analyze the data. To evaluate the research hypotheses, inferential statistics methods, t-test for both groups and Pearson's correlation coefficient were used. According to the results, a significant difference was seen in life satisfaction between women with intended pregnancy and those with unintended pregnancy (P <0.0001). While there was no significant difference in the overall score scale of sexual satisfaction between the two groups of pregnant women but significant difference was obtained concerning sexual desire and sexual satisfaction (P <0.0001). Sexual desire and satisfaction in women with intended pregnancy was reported to be higher than those in women with unintended pregnancy. Finally attention to the psychological needs of pregnant women during pregnancy especially in women with unintended pregnancy will help them to prevent connubial problems and make their life satisfactory.

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“…This opposing relationship has been reiterated in the gerontological literature as the paradox of well-being (Fernández-Ballesteros, 2007;von Humboldt, 2016;Wrosch, Scheier, Carver, & Schulz, 2003). Moreover, some inconsistent results were found in relation to the validity and reliability of the Satisfaction with Life Scale (SwLS) in older samples (Vassar, 2008;Vassar, Ridge, & Hill, 2008); hence there is a need for more research focused on SwL with older adults.…”

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confidence: 99%

A Health-Related Satisfaction with Life Scale Measure for Use with Cross-National Older Adults: A Validation Study

Humboldt¹,

Leal²

2017

RES

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Objectives: Literature suggests some inconsistent results in the validity and reliability of the Satisfaction with Life Scale (SwLS) in older samples. The objective was to evaluate the psychometric properties of the SwLS in a cross-cultural sample of older adults.Methods: This is a validation study to assess the psychometric properties of the SWLS in a sample of 1291 older adults 75 years of age or older, cross-culturally diverse and living in the community. A confirmatory factor analysis was performed. Item analysis and reliability, were also assessed.Results: The systematic procedure used in the SwLS validation points to a good level of psychometric properties, such as reliability, construct, criterion validity, external validity and divergent criterion validity, suggesting that the SwL is assessing a construct different from the ones evaluated by PANAS and OtLQ.Conclusion: The SwLS has demonstrated reliability, validity, and reproducibility for use in measuring health-related satisfaction with life among older adults in policy programs and interventions in community settings.

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A note on the score reliability for the Satisfaction With Life Scale: an RG study

Abstract: Life satisfaction, Reliability generalization, Meta-analysis, Satisfaction With Life Scale, SWLS, Psychometric,

Cited by 129 publications

References 71 publications

Recreating the Relationship between Subjective Wellbeing and Personality Using Machine Learning: An Investigation into Facebook Online Behaviours

Recreating the Relationship between Subjective Wellbeing and Personality Using Machine Learning: An Investigation into Facebook Online Behaviours

Life Satisfaction Related to Intended and Unintended Pregnancies of Rural Women in Bangladesh

A Health-Related Satisfaction with Life Scale Measure for Use with Cross-National Older Adults: A Validation Study

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