Socio-demographic Correlates of Subjective Well-being in Urban India

This study aimed to explore subjective well-being (SWB) in an urban Indian sample. Adults (n = 1099) belonging to two wards in the city of Bangalore in South India, responded to a study-specific questionnaire. This paper is based on data generated as part of an ongoing larger study looking at correlates of SWB. Almost equal number of men and women responded to the study and their age ranged from 20 to 81 years (mean age 37 years). Majority of them were married, Hindus, from middle socio-economic status, had studied above pre-university level and more than half were earning. The mean scores on positive affect (40.9), negative affect (27.6) and life satisfaction (24) suggested above average levels of SWB. Higher age, being married, having higher education, higher income and working in a full time job seemed to improve life satisfaction and decrease negative affect. Religion was also significantly associated with negative affect. Step-wise regression analysis suggested that only education and income were important predictors of positive affect, while negative affect was better predicted by age, income, work status and religion. Life satisfaction was predicted by income, age and education. The important correlates of SWB for men and women were somewhat different. Overall, sociodemographic variables have minimal effect on SWB in urban India and research needs to explore other predictors of SWB.     

Satisfaction and happiness

I review the recent literature on satisfaction and happiness, identify some plausible next steps to take at the frontiers of the research field and offer some suggestions to facilitate those steps. Using partial correlation techniques, substantial levels of covariation are found among the variables that are used in predictions of satisfaction and happiness with life as a whole from satisfaction with specific domains (e.g. family life, health). Using path analysis, confirmation is found in a dozen domains for a model which has satisfaction as a function of a perceived goal-achievement gap, and the latter as a function of comparisons with previous best experience and the status of average folks. Using discriminant analysis, satisfaction with family life is found to be a powerful and predominant discriminator among three groups, identified as Frustrated (dissatisfied and unhappy), Resigned (satisfied and unhappy) and Achievers (satisfied and happy).     

Health and quality of life of older people,a replication after six years

Replicating a survey of 875 people 55 years old or more undertaken in September 1999 throughout the former Northern Interior Health Region (NIHR) of British Columbia, in September 2005 a sample of 656 people completed a 22-page questionnaire. The average age of the respondents was 68, with a range running from 55 to 96 years, and 64% were women. Responses to the SF-36 questionnaire indicated that for male respondents aged 55–64, the mean score for the 8 dimensions was 76.1. This mean was a bit higher than the 74.4 mean of 1999. For male respondents aged 65 and older the mean was 69.0, which was also higher than the 68.3 mean of 1999. For females aged 55–64, the mean score for 8 dimensions was 73.1, versus 73.0 in 1999. For female respondents aged 65 and older, the mean score was 67.0, versus 65.4 in 1999. Based on these mean scores for the 8 dimensions, then, it is fair to say that the overall health status of males and females aged 55 years and older in the region in 2005 was at least as good as (i.e., the same as or better than) that in 1999. Comparing 28 average figures for the 2005 respondents on satisfaction with specific domains of life (e.g., financial security, health, sense of meaning) and three global indicators (satisfaction with life as a whole and with the overall quality of life, and happiness) with those of the 1999 respondents, we found that the scores for the 2005 sample were at least as high as those of the other sample. Thus, it seems fair to say that the perceived quality of life of older people in the former NIHR so far as it is revealed in domain and global satisfaction and happiness scores, is at least as good as the perceived quality of life of a similar sample in 1999. Although a large majority perceived increases in crime in the 2 year periods prior to both surveys, smaller percentages of the 2005 sample than of the 1999 sample thought that crime had increased over the past two years, avoided going out at night, feared for their safety, had crime-related worries, engaged in crime-related defensive behaviours and were actually the victims of any crimes. Therefore, it seems fair to say that, so far as crime-related issues are concerned for the two samples of seniors responding to our surveys, there is more evidence of improvement than of deterioration. Applying stepwise multiple regression, each of the eight dependent variables was explained on the basis of four clusters of predictors separately and then a final regression was run using only the statistically significant predictors from the four clusters. Broadly speaking, 7 SF-36 health status scales explained from 28% to 45% of the variance in the 8 dependent variables, running from satisfaction with the overall quality of life (28%) to the single item measure of general health (45%). The seven predictors in the Social Relations cluster explained from 7% of the variance in the SF-36 General Health scale scores to 57% of the variance in the Life Satisfaction scores. The four predictors in the Problems cluster explained from 10% of the variance in the SF-36 General Health scale scores to 24% of the variance in the SWLS scores. The 11 predictors in the Domain Satisfaction cluster explained from 14% of the variance in the SF-36 General Health scale scores to 64% of the variance in the SWB scores. Putting all the significant predictors together for each dependent variable, in the weakest case, 4 of 11 potential predictors explained 33% of the variance in the SF-36 General Health scale scores and in the strongest case, 9 of 15 potential predictors explained 70% of the variance in Life Satisfaction scores. Among other things, these results clearly show that respondents’ ideas about a generally healthy life are different from, but not independent of, their ideas about a happy, satisfying or contented life, or about the perceived quality of their lives or their subjective wellbeing. Finally, the 7 core discrepancy predictors of MDT plus incomes were used to explain the eight dependent variables. From 13% of the variance in the SF-36 General Health scale scores to 57% of the variance in SWLS scores was explained using those predictors. Based on an examination of the Total Effects scores for the predictors of the 8 dependent variables, the most influential predictors were Self-Wants, followed by Self-Others and then Self-Best. In other words, the most influential discrepancy predictors of respondents’ overall life assessments were those between what respondents have versus what they want, followed by what they have versus what others of the same age and sex have, and then by what they have versus the best they ever had in the past. We would like to thank the Social Sciences and Humanities Research Council of Canada for support of this research with funds granted to Alex C. Michalos through the Gold Medal Award in 2004.     

Increment–Decrement Life Table Estimates of Happy Life Expectancy for the U.S. Population

Using large nationally representative longitudinal data on changes in happiness and mortality and multivariate increment–decrement life tables, we assess length of quality life through cohort estimates of happy life expectancies. We examine population-based and status-based life expectancies in absolute term of years and relative term of proportions. We find that happy life expectancies exceed unhappy life expectancies in both absolute and relative terms for the overall population and population in each state of happiness at any given age. Being happy (as opposed to unhappy) at any age brings a longer life and more of the future life spent in happiness. We also examine social differentials in the estimates of happy life expectancy at each age by sex, race, and education. The educational gap in happy life expectancies is larger than the sex and race gaps. For the better educated, longer life consists of a longer happy life and shorter unhappy life in both years and proportions and regardless of happy or unhappy status at any given age.     

Determinants of Health and the Quality of Life in the Bella Coola Valley

The aim of this investigation is to obtain some baseline self-reported data on the health status and overall quality of life of all residents of the Bella Coola Valley of British Columbia aged 17 years or older, and to measure the impact of a set of designated health determinants on their health and quality of life. In the period from August to November 2001, a variety of procedures were used to ensure that all eligible residents of the Valley received a copy of our questionnaire, and 687 useable questionnaires were obtained for our working dataset. Health status was measured by SF-36 and the U.S. Centers for Disease Control healthy days items. Thirty-one items were used to measure the Provincial Health Officer’s designated determinants of health in four clusters, namely, biological, social and economic, health behaviours and health services determinants. Quality of life was measured by satisfaction levels in 13 specific domains of life (e.g., family, financial security), four global items (e.g., happiness, life satisfaction) and one global Subjective Well-Being Index. Besides obtaining baseline figures on all our measures for the Valley, we made some comparisons among our figures and those from other areas, e.g., Prince George, BC. Most of the measures indicated that the health status and quality of life of Bella Coola Valley residents were lower than those of Prince George residents. For the sample as a whole, SF-36 scores on the eight dimensions ran from 82.3 (physical functioning) to 50.0 (social functioning), with a mean of 62.7. Residents in the Valley averaged 6.5 days in the past 30 in which their health was physically not good, 5.5 days when it was mentally not good and 4.1 days when their health limited their usual daily activities. Eleven percent of respondents described their general health as “excellent” and another 27% said it was “very good”. On a 7-point scale from 1=very dissatisfied to 7=very satisfied, respondents had average life satisfaction and satisfaction with the overall quality of life scores of 5.5. For specific domains of life, the lowest mean level of satisfaction was reported for federal and provincial government officials (3.3) and the highest was reported for living partners and personal safety around home (5.8). Regarding bivariate relations, each of the eight dimensions of SF-36 was significantly correlated with a single item measure of general health, and five of the eight were significantly correlated with the number of good health days. Happiness and the Subjective Well-Being Index were positively but moderately correlated with six of the eight dimensions, and life satisfaction was positively correlated with five. Age was negatively related to general health, but positively related to life satisfaction. Not being of aboriginal descent was positively related to all of the four global health indicators and to the Subjective Well-Being Index. Education was positively related to the four global health measures but not to the three global quality of life measures. The Social Support and Good Family Indexes were positively related to all seven global measures. There was a positive correlation between six of the seven global measures and the frequency with which respondents participated in activities sponsored by voluntary organizations. Frequency of smoking was negatively associated with every global dependent variable except the Physical Health Index. Frequency of skipping meals was negatively associated and average hours of sleep per night was positively associated with all seven global measures. Turning to multivariate relationships, the four clusters of health determinants explained from 12% (SF-36 Mental Health Index) to 24% (general health) of the variance in the dependent global health variables, and from 20% (happiness) to 26% (Subjective Well-Being Index) of the variance in the dependent global quality of life variables. Adding domain satisfaction scores to the total set of predictors allowed us to explain from 20% (SF-36 Mental health Index) to 29% (general health) of the variance in the dependent global health variables, and from 39% (happiness) to 62% (life satisfaction) in the dependent global quality of life variables. By including measures of social support and good family relationships in our set of health determinants, we practically guaranteed that the latter would be relatively strongly predictive of global quality of life.     

Self-Esteem as Mediator and Moderator of the Relationship Between Social Support and Subjective Well-Being Among Chinese University Students

This study examined both the mediating and moderating effects of global self-esteem on the relationship between social support and subjective well-being among Chinese university students. Three hundred and ninety-one university students (260 males and 131 females) from two different Chinese universities completed the social support scale, the self-esteem scale and the subjective well-being scale. Hierarchical regression analysis showed that global self-esteem partially mediated the influence of social support on life satisfaction and positive affect, whereas it fully mediated the influence of social support on negative affect. Moreover, global self-esteem moderated the relationship between social support and life satisfaction, and positive affect, but not negative affect. When students reported a high level of global self-esteem, those with high social support reported higher scores in life satisfaction and positive affect than those with low social support. However, there were no differences in life satisfaction or positive affect between groups with high and low social support when global self-esteem was low. The significance and limitations of the results are discussed.     

Is Extremely High Life Satisfaction During Adolescence Advantageous?

This study examined whether extremely high life satisfaction was associated with adaptive functioning or maladaptive functioning. Six hundred ninety-eight secondary level students completed the Students’ Life Satisfaction Scale [Huebner, 1991a, School Psychology International, 12, pp. 231–240], Youth Self-Report of the Child Behavior Checklist [Achenbach and Edelbrock, 1991, Child Behavior Checklist and Youth Self-Report, Burlington, VT], Abbreviated Junior Eysenck Personality Questionnaire [Francis, 1996, Personality and Individual Differences, 21, pp. 835–844], Self-Efficacy Questionnaire for Children (Muris, 2001, Journal of Psychopathology and Behavioral Assesment, 23(3), pp. 145–149], and the Child and Adolescent Social Support Scale (Malecki and Demaray, 2002, Psychology in Schools, 39, pp. 1–18]. Three groups of students were created based on their life satisfaction reports: very high (top 10%), average (middle 25%), and very low (lowest 10%). Compared to students with average life satisfaction, students with very high life satisfaction had higher levels on all indicators of adaptive psychosocial functioning, except extraversion. Moreover, students with very high satisfaction had the lowest scores on all measures of emotional and behavioral problems. However, rates of clinical levels of behavior problems did not differ significantly between the very high and average groups. Finally, several necessary, but not sufficient factors for very high life satisfaction were identified. Taken together, the findings support the notion that very high life satisfaction is associated with positive psychosocial functioning. Furthermore, adolescents’ reports of their life satisfaction revealed differences in adjustment that were not captured by measures of psychopathology.     

The Positive Event Scale: Measuring Uplift Frequency and Intensity in an Adult Sample

Of the limited number of studies employing positive event (uplift) measures none have published detailed psychometric information about the scale that was used (Maybery and Graham, 2001, Stress and Health 17, pp. 91–104). Building on previous work with university students and employing conceptually distinct measurement strategies (i.e. measuring event frequency and intensity), this paper examined the component structure, concurrent validity and reliability of an uplift measure designed for an adult middle aged population. The 373 participants were 73% female, largely in paid work (72%), in permanent relationships (69%), 62% having children and the sample having a mean age of 41.83 years (SD = 16.14). Principal component analyses of separate frequency and intensity scores from 43 uplifts highlighted generally consistent component structures. The nine uplift factors were friends, social events, work, interactions with workers, with supervisor, spouse/partner, parents, children and household. There were moderate to strong correlations between frequency and intensity scores for each subscale. The subscales had very good reliabilities and weak to moderate correlations with well-being instruments (life satisfaction and positive affect) and selected personality variables, and as expected there were no correlations with distress or negative affect. The results highlight a generally clear uplift factor structure that includes a range of interpersonal, social and work subscales from the positive event domains. The findings extend previous research by improving the conceptual understanding of the sources of uplifting events for individuals and provide a valid and reliable measure for future research.     

Investigating Importance Weighting of Satisfaction Scores from a Formative Model with Partial Least Squares Analysis

This study introduced a formative model to investigate the utility of importance weighting on satisfaction scores with partial least squares analysis. Based on the bottom-up theory of satisfaction evaluations, the measurement structure for weighted/unweighted domain satisfaction scores was modeled as a formative model, whereas the measurement structure for global satisfaction scores was modeled as a reflective model according to top-down theory. The purpose was to see if the predictive effect of importance-weighted domain satisfaction scores is stronger than unweighted domain satisfaction scores in predicting global satisfaction scores. Three datasets in life, self, and job satisfaction were analyzed. In the life satisfaction dataset, 237 undergraduates at Central Taiwan University of Science and Technology voluntarily provided their responses. The mean age of respondents was 20.80 years (SD = 1.05). In the self-satisfaction dataset, 269 undergraduates at National Taiwan University provided their responses. The mean age of respondents was 19.78 years (SD = 1.44). Finally, in the job satisfaction dataset, 557 staff members in seven Taiwan provincial hospitals provided their responses. The mean age of respondents was 35.87 years (range from 21 to 65, SD = 8.60). Three measures of domain satisfaction, domain importance, and global satisfaction were collected in each dataset. Partial least squares analysis was used in model estimation. All the results revealed that unweighted domain satisfaction scores have a stronger predictive effect for global satisfaction measures than importance-weighted domain satisfaction scores, indicating that importance weighting on satisfaction scores did not have an empirical benefit.     

Health and Other Aspects of the Quality of Life of Older People

Celebrating the United Nations' International Year of Older Persons, in September 1999 a survey research project was undertaken throughout the Northern Interior Health Region (NIHR) of British Columbia. A total of 875 people completed 23-page questionnaires, the average age of the respondents was 69 and the range ran from 55 to 95 years. Responses to the SF-36 questionnaire indicated that for male respondents aged 55–64, the mean score for the 8 dimensions was 74.4. This mean was practically identical to that of the United States norm for such people (74.5) and lower than that for the United Kingdom (77.4). For male respondents aged 65 and older, the mean was 68.3. This was numerically higher but again practically the same as that of the norm for the United States (68.1). For females aged 55–64, the mean score for 8 dimensions was 73. This was superior to that of the United States norm of (70.6) for such people and lower than that for the United Kingdom (74.6). For female respondents aged 65 and older, the mean score was 65.4. This was practically identical to that of the United States (65.5).Comparing 18 average figures for our respondents on satisfaction with specific domains of life (e.g., financial security, health, friendships) and life as a whole with those of average adults in Prince George in November 1999, we found that in all but two cases the older people's scores were higher. Only in the cases of satisfaction with health and overall happiness were older people's scores lower, and the differences were not statistically significant.Eleven percent of our respondents reported that they had been a victim of a crime in the last year, compared to 38% in our 1997 adult victimization survey. Older people had a more benign view than ordinary adults of the growth of crime in their neighbourhood and city, although exactly 64% of both groups thought that crime had increased in Canada. Although older people had a more optimistic view than other adults of the increase in crime in their neighbourhoods, fewer of the former than the latter felt safe out at night. Nevertheless, compared to adults surveyed in 1997, the behaviour of respondents in our survey of older people was not as constrained by concerns of criminal victimization.Two or three of the 8 SF-36 health dimensions explained 37% of the variation in life satisfaction scores, 34% of variation in happiness scores, 34% in satisfaction with the overall quality of life scores and 22% in satisfaction with one's overall standard of living. In every case, Mental Health was the dimension that had the greatest impact on our four dependent variables.When all of our potential predictors were entered into a regression equation simultaneously, we found that they could explain 60% of the variance in life satisfaction scores, 44% in happiness scores, 58% in satisfaction with the overall quality of life scores and 59% in satisfaction with one's overall standard of living scores.     

Examining the appropriateness of importance weighting on satisfaction score from range-of-affect hypothesis: hierarchical linear modeling for within-subject data

This study examines the range-of-affect hypothesis in a within-subject context using the weighting situation faced in quality of life (QOL) measurement. Data collected in Wu and Yao’s (2006b) study were used (332 undergraduates at National Taiwan University). The mean age was 19.80 years (std = 1.98). They completed a QOL questionnaire and indicated satisfaction, importance, and perceived have–want discrepancy on 12 life domains. Hierarchical linear modeling with a random-coefficients regression model was applied. At the first level (within-individual level), the satisfaction scores for each item were regressed on the have-want discrepancy, importance, and the interaction between have-want discrepancy and importance (have-want discrepancy ×  importance) of the same item. At the second level (between-individual level), the intercept, coefficients of have-want discrepancy, importance and the interaction between have-want discrepancy and importance at the first level were regarded as varying randomly over all participants. Results of this study supported the range-of-affect hypothesis, showing that the relationship between item have-want discrepancy and item satisfaction is stronger for high importance items than low importance items for a given individual. Implications for important weighting on item satisfaction scores were discussed.     

What are the Differences between Happiness and Self-Esteem

The present study investigated theoretically and empirically derived similarities and differences between the constructs of enduring happiness and self-esteem. Participants (N = 621), retired employees ages 51–95, completed standardized measures of affect, personality, psychosocial characteristics, physical health, and demographics. The relations between each of the two target variables (happiness and self-esteem) and the full set of remaining variables were assessed through a series of successive statistical analyses: (1) simple Pearson’s correlations, (2) partial correlations, and (3) hierarchical regression analyses. The results revealed that happiness and self-esteem, while highly correlated (r = 0.58), presented unique patterns of relations with the other measured variables. The best predictors of happiness were the following: mood and temperamental traits (i.e., extraversion and neuroticism), social relationships (lack of loneliness and satisfaction with friendships), purpose in life, and global life satisfaction. By contrast, self-esteem was best predicted by dispositions related to agency and motivation (i.e., optimism and lack of hopelessness). Implications for the understanding of happiness and self-esteem are discussed.     

Affective Mediators of the Influence of Gratitude on Life Satisfaction in Late Adolescence

The aim of this study is to examine the mediation effects of positive affect and negative affect on the link between gratitude and life satisfaction in late adolescence. Three hundred and fifty-four Chinese university students were asked to conduct the Gratitude Questionnaire, the Positive and Negative Affect Schedule, and the Satisfaction with Life Scale. Structural equation modeling analyses supported fully mediators of positive affect and negative affect of the association between gratitude and life satisfaction. Furthermore, a multi-group analysis found that females with low negative affect scores were more likely to get greater life satisfaction than males, whereas males with high gratitude scores were more likely to get more positive affect than females. The significance and limitations of the present findings are discussed.     

Positive and Negative Affectivity as Mediator and Moderator of the Relationship between Optimism and Life Satisfaction in Turkish University Students

The main purpose of this study is to examine the mediator and moderator role of positive and negative affectivity variables on the relationship between optimism and life satisfaction in university students. 397 university students, ranging in age from 18 to 27 (M = 20.98), attending different departments of the Faculty of Education, at Pamukkale University in Turkey participated as subjects in the study. Data were collected by using PANAS, LOT, and SWLS. The relationship between optimism and satisfaction was partially mediated by both positive and negative affectivity. Hierarchical regression analysis indicated that positive and negative affectivity did not moderate the relationship between optimism and life satisfaction.     

Life Satisfaction of Older Adults in Hong Kong: The Role of Social Support from Grandchildren

This study explores the relationship between the life satisfaction of older adults and the social support from grandchildren in Hong Kong. Two hundred and fifteen older people (from the ages of 64 to 101, mean age 79.3), whose youngest grandchild was aged 12 or older, were recruited from elderly service agencies to participate in the study. Face-to-face interviews were conducted by trained interviewers using a standardized questionnaire, which included the Life Satisfaction Scale for Chinese, the Lubben Social Network Scale, the Chinese Tradition Scale, grandchildren social support measures, self-rated health, self-rated financial adequacy, and demographic variables. Hierarchical regression showed that the life satisfaction of older adults benefitted significantly from the social support from grandchildren (R ² change = .05, F _change = 7.15, p < .001); while controlling demographic characteristics, general social support, attitude towards Chinese tradition, self-rated health, and self-rated financial adequacy. The total explained variance was 51%. Emotional support and appraisal support from grandchildren were identified as significant contributing factors. The policy and practice implications for active aging policies are discussed in a Chinese context.     

A Note on Student Quality of Life

An aggregated sample of students (n = 3407) from the University of Northern British Columbia covering 7 of the 8 years from 1998 to 2005 is analyzed to show the relative and combined explanatory power of some life domain (e.g., satisfaction with family relations) and university-related variables (e.g., satisfaction with UNBC instructors) on some global quality-of-life variables (e.g., life satisfaction). It was found that, in combination with the life domain variables, the university-related variables added practically nothing to our explanatory power. The most powerful university-related variable was students’ satisfaction with their instructors.     

Can We Weight Satisfaction Score with Importance Ranks Across Life Domains?

The main purpose of this study was to investigate the utility of importance weighting when importance ranks were considered as the weighting values by (1) examining the range-of-affect hypothesis in the within-subject context and (2) comparing performances of weighted and unweighted satisfaction scores in predicting overall judgment of subjective well-being. Participants were 167 undergraduates at National Taiwan University. The mean age was 19.80 years (SD = 1.98). They were first asked to complete the measurements for global life satisfaction and overall QOL and then completed a QOL questionnaire for rating satisfaction, perceived have–want discrepancy on 12 life domains and ranking importance on these domains. Hierarchical linear modeling with a random-coefficients regression model was applied to examine the range-of-affect hypothesis in the within-subject context. Correlation analysis was applied to evaluate performances of weighted and unweighted satisfaction scores in predicting overall judgment of subjective well-being. Results of this study supported the range-of-affect hypothesis, showing that the relationship between item have–want discrepancy and item satisfaction is stronger for high importance items than low importance items for a given individual. Correlation analysis found that the four weighted satisfaction scores computed from the algorithms proposed by Hsieh (Social Indicators Research 61:227–240, 2003) were not superior to unweighted satisfaction score in predicting overall QOL and global life satisfaction. All these findings suggested that weighting satisfaction scores with importance ranks may not have theoretical basis and empirical contribution.     

Gender Convergence in the American Heritage Time use Study (AHTUS)

The present study explored the short-term temporal characteristics of subjective well-being (SWB) and its potential correlates. Specifically, we examined the intra-individual variability and the trajectories of SWB and its components life satisfaction, positive, and negative affect. Over a two-week period, 27 participants (78% university students, 85% females, mean age of 29 years) provided SWB data every other day. Before and after this period, participants completed several questionnaires assessing personality and environmental variables, as well as several open-ended questions. The results provide evidence that participants experienced a significant amount of intra-individual variability in their SWB and its components. Furthermore, inter-individual differences in the intra-individual variability were related to several of the personality and environmental variables, as well as to participant’s age. Results of multiple regression analyses indicated that deliberation (one facet of the Big Five dimension conscientiousness), social support, and age accounted for 58% of the total variance of intra-individual variability in SWB. In contrast, the slopes of the individual trajectories of SWB were on average statistically non-significantly different from zero. These results emphasize that information is gained by looking at both the patterns and the intra-individual variability over time: The individual trajectories of the participants on average appeared to be stable, but intra-individual variability of SWB was meaningfully related to several of the variables.     

Purpose,Mood, and Pleasure in Predicting Satisfaction Judgments

We examined the extent to which satisfaction with life, with one’s self, and with one’s day are predicted by pleasure, purpose in life, interest, and mood. In a sample of 222 college students we found that both satisfaction with life and self-esteem were best predicted by positive feelings and an absence of negative feelings, as well as purpose in life. By contrast, satisfaction with individual days was predicted by negative feelings, and very strongly predicted by positive feelings, but not by purpose in life. In predicting life satisfaction purpose in life provided a buffering effect for lower levels of mood. People high in purpose in life reported high levels of life satisfaction even with moderate levels of mood. Thus, what makes a satisfying day is different from what makes a satisfying life or self. Life and self satisfaction were predicted significantly by purpose in life even after controlling for physical pleasure and affect balance, suggesting that they are more than just hedonic variables.     

Initiating Personal Growth: The Role of Recognition and Life Satisfaction on the Development of College Students

The purpose of this study was to examine the mediating role of life satisfaction between positive recognition and levels of personal growth initiative in a collegiate setting. The design of the research study utilized a quantitative research method. A brief questionnaire assessed 204 undergraduate students at a mid-sized university. The average age of the participants was 19 years old and the predominant race was Caucasian. Approximately the same number of male and female participants completed the survey. Each participant answered questions that measured perceived life satisfaction, personal growth initiative and the amount of recognition and praise received from family and overall within a typical college setting. Structural Equation Modeling was used to examine the relationship between the variables. The hypothesized mediational model had adequate fit. Positive recognition and personal growth initiative were mediated by life satisfaction χ² (n = 204, 101) = 259.20, CFI = .88, TLI = .86. Results from this study hope to show that life satisfaction builds the relationship between receiving recognition and an undergraduate’s involvement in changing and developing as an individual. In addition, the study hopes to use the emerging field of Positive Psychology to identify applications of life satisfaction, personal growth initiative and recognition to assist with the optimal functioning of college students and the overall educational institution.