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.     

The Well-Being of 12 - to 16-Year-Old Adolescents and their Parents: Results from 1999 to 2003 Spanish Samples

This study adopts satisfaction with life as a whole and satisfaction with specific life domains as indicators to analyse the relationships between the well-being of 12 to 16-year-old adolescents and some related constructs such as self-esteem, perceived control and perceived social support. Well-being indicators from a 2003 Spanish sample using an 11-point scale (N = 1,634) are compared with an equivalent 1999 Spanish sample using a 5-point scale (N = 1,618). The different results obtained from the 2003 sample with a Principal Component Analysis (PCA) using a shorter and a longer list of life domains are also discussed. A sub-sample of the adolescents’ results from the 2003 sample are compared with their parents’ answers, using the same well-being indicators. Using a list of 8 life domains, and despite the change of scale used, overall results show no relevant changes in adolescents’ satisfaction with life domains between 1999 and 2003 in Spain and are in agreement with normative data expected from western societies [Cummins: 1998, Social Indicators Research 43, pp. 307–334; Cummins et al.: 2001, Australian Unity Well-being Index (Australian Centre on Quality of Life, Deakin University, Melbourne)]. Adolescents’ overall life satisfaction has been shown to correlate consistently with the other well-being related constructs. However, it clearly decreases with age over the period studied. The results also show that increasing the list of life domains has a major impact on the structure of the results obtained. When we compare results from parents with those from their own child, outstanding differences in well-being appear between generations: few domain satisfaction dimensions show significant correlation between parents and children and more than 20% of the population studied shows high discrepancies in the answers in four domains.     

Development of the Contentment with Life Assessment Scale (CLAS): Using Daily Life Experiences to Verify Levels of Self-Reported Life Satisfaction

On average, Anglo-Americans report that they are satisfied with their lives, but their global evaluations tend to deviate from their daily experiences (e.g., Oishi [2002, Personality and Social Psychology Bulletin 28(10), 1398–1406]). We explored the hypothesis that the average life satisfaction of Anglo-Americans is better characterized as neutral than satisfied. In Study 1 we developed the five-item Contentment with Life Assessment Scale (CLAS), which focuses on contentment, fulfillment and self-discrepancies. Normative data based on three general population samples demonstrated that the CLAS produces a close to normal distribution of scores, has excellent reliability, and is sensitive to differences in life conditions (e.g., income, marital status). In two daily diary studies we tested whether global life satisfaction measures corresponded to people’s daily subjective well-being. The CLAS was the best predictor among three self-report life satisfaction measures of daily escapist behaviors including television watching and alcohol consumption, and daily stress-related physical symptoms (Study 2). In Study 3, participants recorded their level of life satisfaction daily for two weeks. Average daily life satisfaction scores clustered close to the neutral rather than satisfied point of the measurement scale.     

Good Health is Not the Same as a Good Life: Survey Results from Brandon,Manitoba

The aim of this investigation was to obtain some baseline self-reported data on the health status and overall quality of life of a sample of residents of the city of Brandon, Manitoba aged 18 years or older, and to measure the impact of a set of designated health determinants, comparison standards and satisfaction with diverse domains of life on their health and quality of life. In May and June 2010, 2,500 households from the city of Brandon, Manitoba were randomly selected to receive a mailed out questionnaire and 518 useable, completed questionnaires were returned. Baseline health status data were obtained using the 8 SF-36 dimensions of health and 13 items from the United States Centers for Disease Control and Prevention, Behavioral Risk Factor Surveillance System. Determinants of health and overall quality of life included measures of socializing activities, a Good Neighbourhood Index, Social Support Index, Community Health Index, a measure of free-time exercise levels, health-related behaviours, use of drugs, health care issues, a set of domain-specific quality of life items, a set of measures concerning criminal victimization, worries and behaviours concerning victimization and the basic postulates of Multiple Discrepancies Theory. Overall life assessment, dependent variables included Average Health, happiness, a single item measure of satisfaction with life as a whole, a single item measure of satisfaction with the overall quality of life, the Satisfaction With Life Scale, Contentment with Life Assessment Scale and a Subjective Wellbeing Index. Using multiple regression, we explained as much as 75% of the variance in Subjective Wellbeing scores and as little as 45% in happiness scores. Four clusters of health determinants explained from 20% (Happiness) to 44% (Average Health) of the variance in the dependent variables. Adding comparison standards and domain satisfaction scores to the set of health determinants increased our total explanatory power by only 2% points for Average Health (from 44 to 46%), but more than doubled our explanatory power for Happiness (from 20 to 45%) and for satisfaction with the overall quality of life (from 31 to 67%). As well, our explanatory power for the single item of Life Satisfaction increased from 34 to 66%, for the Satisfaction With Life Scale from 39 to 74%, for the Contentment With Life Assessment Scale from 36 to 60%, and for Subjective Wellbeing from 42 to 75%. This provided very clear evidence that self-perceived good health is not equivalent to perceived quality of life, confirming evidence reported in our earlier studies. The three most important take-home messages from this investigation are (1) in assessing the relative influence of any alleged determinants of health and the quality of life, different sets of alleged determinants will appear to be more or less influential for different dependent variables. Therefore, (2) researchers should use diverse sets of determinants and dependent variables and (3) it is a big mistake to use measures of health status as if they were measures of the perceived quality of life.     

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.     

Validity of Domain Satisfaction Across Cohorts in the US

Domain satisfaction, a relatively under-researched topic in subjective well-being research, is designed to capture satisfaction in multiple aspects of life (e.g., family, health). In view of the life course perspective, perceptions toward such different domains of life are most likely influenced by the historical and social climate that individuals uniquely experience over their life span. However, little is known about whether domain satisfaction is a valid measure across cohorts, which reflect differing life experiences at each life stage. This study examines the psychometric properties (e.g., validity and reliability) of a domain satisfaction measure across seven theoretically meaningful cohorts (e.g., Baby Boomers) using a nationally representative sample of American adults from multiple waves of the General Social Survey (n = 15,302). Results from confirmatory factor analysis showed that the validity of the domain satisfaction measure was not consistent across cohorts; unlike when all samples (e.g., cohorts were not considered) were analyzed together. A series of follow-up analyses also revealed that temporally proximate cohorts that were born around the same time were more likely to be psychometrically comparable, while temporally distant cohorts were not. In summary, this study provides empirical evidence suggesting that the validity of domain satisfaction is sensitive to cohort effects, and researchers need careful consideration when comparing cohorts chronologically further apart.     

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.     

Arts and the quality of life: an Exploratory study

The aim of this investigation was to measure the impact of the arts broadly construed on the quality of life. A randomly drawn household sample of 315 adult residents of Prince George, British Columbia served as the working data-set. Examining zero-order correlations, among other things, it was found that playing a musical instrument a number of times per year was positively associated with general health (r = 0.37), while singing alone a number of hours per week was negatively associated with general health (r = –0.19). The strongest positive associations with life satisfaction are satisfaction obtained from gourmet cooking and embroidery, needlepoint or cross-stitching, at r = 0.39 andr = 0.32, respectively. The satisfaction obtained from gourmet cooking (r = 0.35) and buying works of art (r = 0.32) were the most positive influences on happiness. The strongest associations with the Index of Subjective Well-Being are the satisfaction obtained from gourmet cooking (r = 0.37) and the satisfaction obtained from knitting or crocheting (r = 0.34). Examining multivariate relations, it was found that eight predictors combined to explain 59% of the variance in life satisfaction scores, with self-esteem satisfaction ( = 0.35) and friendship satisfaction ( = 0.27) most influential. Among the arts-related predictors in the eight, singing alone was fairly influential and negative ( = –0.18), while the satisfaction obtained from reading to others (=0.08) and the Index of Arts as Self-Health Enhancers ( = 0.11) were somewhat less influential. When the arts-related predictors were combined with a set of domain satisfaction predictors, total explanatory power was increased by only 3 percentage points. Seven predictors could explain 58% of the variance in satisfaction with the overall quality of life scores. Of the arts-related predictors, only time spent going to non-art museums was significant ( = 0.07). Arts-related predictors did not increase explanatory power at all beyond that obtained from domain satisfaction variables alone. Eight predictors explained 42% of the variance in happiness scores, with the most influential predictors including satisfaction with self-esteem ( = 0.37) and financial security ( = 0.21), followed by the Index of Arts as Self-Developing Activities ( = 0.18). Arts-related predictors added 3 percentage points of explanatory power to that obtained from domain satisfaction scores. Seven predictors could explain 65% of the variance in scores on the Index of Subjective Well-Being, led by self-esteem satisfaction ( = 0.35) and financial security satisfaction ( = 0.30). The Index of Arts as Community Builders had a modest influence ( = 0.11), but all together, arts-related predictors increased our total explanatory power by a single percentage point. Summarizing these multivariate results, it seems fair to say that, relative to the satisfaction obtained from other domains of life, the arts had a very small impact on the quality of life (measured in four somewhat different ways) of a sample of residents of Prince George who generally cared about the arts. Even in absolute terms, arts-related activities could only explain from 5% to 11% of the variance in four plausible measures of the self-perceived quality of respondents lives. By comparing the composition of our sample with census data from 2001, it was demonstrated that the sample was not representative of residents of our city. It would, therefore, be wrong to generalize our findings to the whole population of Prince George or to any larger population.     

The relationship between leisure and life satisfaction: application of activity and need theory

The purpose of this study was to better understand the complex relationship between leisure and life satisfaction. Components of two distinct, but potentially integrative, theoretical frameworks (i.e., activity theory and need theory) predicting the relationship between leisure and life satisfaction were tested with a sample of residents from a Midwestern community (n = 633). Findings provided support for both theoretical perspectives, but stronger relationships were found between satisfied needs than with participated activities. In spite of these findings, the various inconsistencies within the two theoretical frameworks suggest that future research is needed.     

Footprints in the Sand: Personal,Psychological, and Relational Profiles of Religious,Spiritual, and Atheist LGB Individuals

The present study offers a comparison of the demographic features and lived experiences of lesbian, gay, and bisexual (LGB) individuals with religious, spiritual, or atheist (R/S/A) belief systems. In this sample of 212 participants, the relationship of participants’ R/S/A beliefs to personal variables (e.g., age, gender, race), mental health variables (e.g., life satisfaction, psychological distress, internalized heterosexism, self-esteem), and relational variables (e.g., outness, connection to LGBTQ communities) were assessed. Correlational analyses indicated that level of R/S/A belief was unrelated to self-esteem, life satisfaction, or psychological distress; however, greater religious belief was correlated positively and significantly with internalized heterosexism and outness as LGB. To test the interactions of R/S/A beliefs and categorical variables of interest (e.g., race), log-linear analyses with follow-up chi-square tests were conducted. Findings suggested more similarities than differences for LGB people across R/S/A systems of belief. Limitations and implications for future research are discussed.     

Aging and Life Satisfaction

This paper was intended to examine how major life events – suchas retirement, deterioration of health, and loss of spouse –experienced in the aging process may affect the elderly's lifesatisfaction. An explanation was also proposed to the change inthe effects of age groups on life satisfaction because of thecontrol of the aging effect. A simple form of a longitudinalsurvey conducted in Taiwan in 1989 and 1993 was used for theempirical test. It was found that life satisfaction among theelderly decreased as age increased beyond 65 years of age. Itwas also found that social demographic variables, an incomedecrease, living arrangement, and level of activity participationhave a profound impact on life satisfaction of Taiwan's elderly. When the correlates were controlled, the coefficients for agegroups greater than 70 turned positive. This change could beexplained by two types of cohort experience: (1) from rough toprosperous life experience and (2) cohort norm on lifeexpectancy.     

The Latent Profiles of Life Domain Importance and Satisfaction in a Quality of Life Scale

The present study aimed to use a latent profile analysis to distinguish between populations in terms of life domain importance and satisfaction profiles. Then, a multinomial logistic regression was used to determine how background variables (e.g., gender, living areas, and school levels) and self-perceived health predict each latent quality of life (QoL) profile. We also investigated how the latent groups of adolescents predicted negative and positive well-being indicators (e.g., problem behaviors and overall life satisfaction). The sample consisted of 720 Taiwanese secondary school students. Three latent groups were established as follows: “unimportant-unsatisfied,” “important-unsatisfied,” and “important-satisfied.” The results indicate the following: (a) boys were more likely to fall into the “unimportant-unsatisfied” group than were girls; (b) better health increased the likelihood of being in the “important-satisfied” group; (c) high school students were more likely to be in the “unimportant-unsatisfed” group than were middle school students; and (d) no relationship was found between latent groups and living areas. The function of importance rating was not present when evaluating the importance-satisfaction profiles and their relationship with problem behaviors and overall life satisfaction. The problems of the “unimportant-unsatisfied” profile among youth are discussed.     

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.     

An Analysis of Specific Life Satisfaction Domains and Disordered Eating among College Students

Research has revealed that overall life satisfaction (LS) is negatively related to disordered eating. This study examined whether specific LS domains (e.g., family, friends, etc.) were more strongly associated with eating behaviors/weight perceptions (e.g., exercising to lose weight, using laxatives to lose weight, etc.) in 723 randomly selected college students analyzed separately by gender. Data were analyzed using logistic and multiple regression procedures. Results supported the hypotheses in the expected directions. College students’ weight perceptions had the strongest relationships with Satisfaction with Self and Satisfaction with Physical Appearance, and these relationships were stronger among females than males. Worrying about weight, self-described weight, and binge eating were significantly correlated with all LS domains (p < .05). Results suggest potential contributions of differentiating among the domains of LS in efforts to understand disordered eating among males and female college students. Implications for practice are discussed briefly.     

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.     

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.     

Health Condition and Quality of Life in Older Adults: Adaptation of Qolie-89

This study aimed at adapting the Questionnaire Quality of Life in Epilepsy (QOLIE-89 version 1.0: Vickrey et al., 1993), Quality of Life in Epilepsy QoLIE-89 RAND (Santa Monica, CA)] so that it may be used to measure quality of life (QoL) of older adults, healthy or suffering from various chronic illnesses. The participants were 202 older adults recruited from the Pathology Clinic of a general hospital in Thessaloniki, Greece, and from Community Centers for Older adults. The mean age was 71 years. Of them, 51 suffered from diabetes, 50 from cardiovascular disease, 52 suffered from arthritis/myoskeletal diseases, and 49 were healthy. The QOLIE-89 inventory comprises 89 items that measure 17 topics. Exploratory factor analysis revealed 3 factors, namely, health (i.e., physical health and functioning), cognition, and social behavior. Cronbach’s α for the various topics in each group of participants ranged from 0.60 to 0.90 with a number of exceptions with very low α. Concurrent validity was tested through correlations with measures of subjective well being, affect, life satisfaction, and adaptation to old age. A series of ANOVAs showed differences between the healthy and the chronic illness groups of participants but no clearcut differences between the three chronic illness groups. Further study on the adaptation of QOLIE-89 is needed so that its potential as a general measure of QoL in older adults is determined.     

Very Happy Youths: Benefits of Very High Life Satisfaction Among Adolescents

This study investigated the characteristics of adolescents reporting very high levels of life satisfaction. Participants (N = 410) were divided into three life satisfaction groups: very high (top 10%), average (middle 25%), and very low (lowest 10%). Results revealed that very happy youths had significantly higher mean scores on all included school, interpersonal, and intrapersonal variables, and significantly lower mean scores on depression, negative affect, and social stress than youths with average and very low levels of life satisfaction. Life meaning, gratitude, self-esteem, and positive affect were found to have a significantly more positive influence on global life satisfaction for the very unhappy than the very happy. Findings suggest that very unhappy youths would benefit most from focused interventions aimed at boosting those variables having the most influence on their level of life satisfaction. Results are discussed in light of previous findings and suggestions for future directions are briefly discussed.     

Criminal Victimization and the Quality of Life

The aim of this investigation was to explain theimpact of crime-related issues on satisfaction withthe quality of life, satisfaction with life as a wholeand happiness in the city of Prince George, BritishColumbia. As explanatory variables, we had measures ofrespondent fears of and actual cases of victimization, Indexes of Neighbourhood Problems, PolicePerformance, Neighbourhood Worries, DefensiveBehaviour, beliefs about increases in local crime,satisfaction with personal and family safety, andsatisfaction with a variety of domains of life (e.g.,friendships, financial security, health). Collectivelysuch variables could explain only 5% of the variationin happiness scores, 7% of the variation in lifesatisfaction scores and 9% of the variation insatisfaction with the quality of life scores. However,they could explain 38% of the variation in overallneighbourhood satisfaction scores. When measures ofsatisfaction with family life, health, self-esteem,etc. were added, we found that crime related issueswere simply displaced by the other measures and thatwe could explain 31% of the variation in overallhappiness scores, 58% of the variation in lifesatisfaction scores and 59% of the variation insatisfaction with the overall quality of life scores. We conclude, therefore, that crime-related issues haverelatively little impact on peoples satisfaction withthe quality of their lives, with life satisfaction orhappiness here.     

Arts and the quality of life: an Exploratory study

The aim of this investigation was to measure the impact of the arts broadly construed on the quality of life. A randomly drawn household sample of 315 adult residents of Prince George, British Columbia served as the working data-set. Examining zero-order correlations, among other things, it was found that playing a musical instrument a number of times per year was positively associated with general health (r = 0.37), while singing alone a number of hours per week was negatively associated with general health (r = ?0.19). The strongest positive associations with life satisfaction are satisfaction obtained from gourmet cooking and embroidery, needlepoint or cross-stitching, at r = 0.39 andr = 0.32, respectively. The satisfaction obtained from gourmet cooking (r = 0.35) and buying works of art (r = 0.32) were the most positive influences on happiness. The strongest associations with the Index of Subjective Well-Being are the satisfaction obtained from gourmet cooking (r = 0.37) and the satisfaction obtained from knitting or crocheting (r = 0.34). Examining multivariate relations, it was found that eight predictors combined to explain 59% of the variance in life satisfaction scores, with self-esteem satisfaction (β = 0.35) and friendship satisfaction (β = 0.27) most influential. Among the arts-related predictors in the eight, singing alone was fairly influential and negative (β = ?0.18), while the satisfaction obtained from reading to others (β=0.08) and the Index of Arts as Self-Health Enhancers (β = 0.11) were somewhat less influential. When the arts-related predictors were combined with a set of domain satisfaction predictors, total explanatory power was increased by only 3 percentage points. Seven predictors could explain 58% of the variance in satisfaction with the overall quality of life scores. Of the arts-related predictors, only time spent going to non-art museums was significant (β = 0.07). Arts-related predictors did not increase explanatory power at all beyond that obtained from domain satisfaction variables alone. Eight predictors explained 42% of the variance in happiness scores, with the most influential predictors including satisfaction with self-esteem (β = 0.37) and financial security (β = 0.21), followed by the Index of Arts as Self-Developing Activities (β = 0.18). Arts-related predictors added 3 percentage points of explanatory power to that obtained from domain satisfaction scores. Seven predictors could explain 65% of the variance in scores on the Index of Subjective Well-Being, led by self-esteem satisfaction (β = 0.35) and financial security satisfaction (β = 0.30). The Index of Arts as Community Builders had a modest influence (β = 0.11), but all together, arts-related predictors increased our total explanatory power by a single percentage point. Summarizing these multivariate results, it seems fair to say that, relative to the satisfaction obtained from other domains of life, the arts had a very small impact on the quality of life (measured in four somewhat different ways) of a sample of residents of Prince George who generally cared about the arts. Even in absolute terms, arts-related activities could only explain from 5% to 11% of the variance in four plausible measures of the self-perceived quality of respondents’ lives. By comparing the composition of our sample with census data from 2001, it was demonstrated that the sample was not representative of residents of our city. It would, therefore, be wrong to generalize our findings to the whole population of Prince George or to any larger population.