The Pleasant Life, the Engaged Life, and the Meaningful Life: What about the Balanced Life?

Martin Seligman, in his very popular book Authentic Happiness (Seligman 2002), argued that authentic happiness is derived from three major sets of experiences in life, namely experiencing pleasantness regularly (the pleasant life), experiencing a high level of engagement in satisfying activities (the engaged life), and experiencing a sense of connectedness to a greater whole (the meaningful life). In this paper, we maintain that balance in life contributes significantly to subjective well-being. Balance contributes to subjective well-being because of the satisfaction limit that people can derive from a single life domain. People have to be involved in multiple domains to satisfy the full spectrum of human development needs. Different life domains tend to focus on different human developmental needs. More specifically, balance contributes to subjective well-being because subjective well-being can only be attained when both survival and growth needs are met. High levels of subjective well-being cannot be attained with satisfaction of basic needs or growth needs alone. Both needs have to be met to induce subjective well-being.     

Life Satisfaction is not a Balanced Estimator of the Good Life: Evidence from Reaction Time Measures and Self-Reported Emotions

A widespread belief in happiness research is that measures of life satisfaction capture the variety of an individual’s experiences along a single favorable—unfavorable dimension. The current article points to a possible violation of this assumption. With a combination of data and theory it argues that life satisfaction is not a balanced reflection of subjective experiences because the evaluation that drives judgments of life satisfaction is tilted towards pleasure and away from engagement. We postulate that feelings of pleasure are overrated in statements of life satisfaction, whereas feelings of engagement are underrepresented. Feelings of engagement and interest are further supposed to be indicators of personal growth. Measures of personal growth and life satisfaction should thus be unrelated. Empirical evidence for our model is provided by self-report and reaction time data from a Norwegian convenience sample (N = 30). Detection latencies for pleasant stimuli correlated significantly with life satisfaction but not with measures of personal growth. Life satisfaction correlated significantly with pleasant experiences, but not with engagement. Personal growth correlated significantly with feelings of engagement. Life satisfaction and personal growth were uncorrelated.     

Early life origins of psychological development and mental health

According to the Developmental Origins of Health and Disease (DOHaD)‐hypothesis, conditions early in life may have life‐long consequences. In a series of epidemiological birth cohort and clinical studies and natural experiments, we have had the chance to test the extent to which this hypothesis is useful in understanding individual differences in psychological development and mental health. Our findings have provided evidence that individual differences in cognitive, social and emotional development and in mental health may lie in early life circumstances, and add significantly to the literature by pointing out which periods of early growth are the most critical. These findings are also important in translating pre‐clinical evidence to humans. What remains less clear, however, is what the mechanisms of programming are. Thus, further research is needed to elucidate these mechanisms before information on the early life origins of health and disease can be used in designing prevention and intervention programs.     

Marital satisfaction in covenant versus standard marriages: Is there a difference?

After the rapid increase of the American divorce rate in the late 20th century, one of the most conspicuous efforts of the marriage movement in the 1990s that was used to increase marital stability was the legislation of the covenant marriage license, a more restricted marriage license issued in three different states of the U.S. To investigate the marital life of newlywed covenant versus standard couples, a large-scale 5-year couple study was conducted between 1998 and 2003 in Louisiana. The present study uses this large-sample, multiple-wave, multiple-group dyadic dataset to examine differences in co-development and divorce rates in 297 covenant and 380 standard mixed-sex couples using a multiple group growth curve modeling and survival analysis. We examined differences in marital trajectories between covenant and standard couples as well as between husbands and wives in each marital group. The results show (1) that the couples in both groups experienced, on average, declines in marital satisfaction, and such a decline was slower in covenant husbands than their wives as well as those in standard marriages, and (2) that co-development in marital satisfaction was more prominent in standard marriages than in covenant marriages, meaning standard couple's marital satisfaction declined at a more similar rate than that of covenant couples. We provide possible explanations and discuss practical implications.     

The impact of posttraumatic growth,transformational leadership,and self-efficacy on PTSD and depression symptom severity among combat Veterans

Previous research has established self-efficacy as essential to postdeployment adjustment among Veterans, and perceived transformational leadership is well known for its positive effects on follower outcomes across contexts. However, little is known regarding how transformational leadership may relate to posttraumatic growth and self-efficacy in fostering psychological wellbeing among combat Veterans. The purpose of this study was to examine the role of transformational leadership in predicting posttraumatic stress disorder (PTSD) and depression symptoms among combat Veterans, as well as how posttraumatic growth and postdeployment coping self-efficacy may influence these relations. The study sample consisted of 130 combat Veterans recruited from a university, Veterans Affairs medical center, and the greater community. Path analysis based on bootstrapped resampling revealed postdeployment coping self-efficacy and perceived transformational leadership as predictors of lower PTSD and depression symptom severity. In addition, mediation modeling revealed that postdeployment coping self-efficacy mediated the relation between transformational leadership and both PTSD and depression, while posttraumatic growth did not predict PTSD symptoms. These findings may aid in the prediction of PTSD and depression symptoms among Veterans, which may then influence pre-deployment leadership training among military personnel as well as clinical treatment protocols for Veterans.     

Effects of Couples' Perceptions of Genogram Construction on Therapeutic Alliance and Session Impact: A Growth Curve Analysis

The purpose of this study was to examine how the construction of a therapist-administered genogram (TAGE) versus a self-administered genogram (SAGE) would affect therapeutic alliance and session character in couples therapy across time. Eight student marriage and family therapists conducting therapy with 17 couples administered a TAGE, SAGE, or control treatment intervention in the second therapy session. Measurements were taken following the first five sessions. Results of a growth curve analysis showed no significant differences in couple members' growth curves based on their participation in one of the three treatment groups. Recommendations for clinicians and future genogram researchers are provided.of the Marriage and Family Therapy program at     

Principal component analysis with external information on both subjects and variables

A method for structural analysis of multivariate data is proposed that combines features of regression analysis and principal component analysis. In this method, the original data are first decomposed into several components according to external information. The components are then subjected to principal component analysis to explore structures within the components. It is shown that this requires the generalized singular value decomposition of a matrix with certain metric matrices. The numerical method based on the QR decomposition is described, which simplifies the computation considerably. The proposed method includes a number of interesting special cases, whose relations to existing methods are discussed. Examples are given to demonstrate practical uses of the method.The work reported in this paper was supported by grant A6394 from the Natural Sciences and Engineering Research Council of Canada to the first author. Thanks are due to Jim Ramsay, Haruo Yanai, Henk Kiers, and Shizuhiko Nishisato for their insightful comments on earlier versions of this paper. Jim Ramsay, in particular, suggested the use of the QR decomposition, which simplified the presentation of the paper considerably.     

Does covenant marriage predict latent trajectory groups of newlywed couples?

Covenant marriage is a legally distinct marriage license available in Arizona, Louisiana, and Arkansas in the United States. This study revisited one of the largest longitudinal dyadic studies on covenant versus standard newlywed couples. Using this dataset of 677 different-sex couples, we explored whether being in a covenant marriage could predict how marital satisfaction developed over the first five marital years. We applied the Growth Mixture Modeling (GMM) method to identify groups that differed in their initial marital satisfaction and trajectory. The results revealed three different trajectory groups—one group showing high and stable marital satisfaction, which we named High Stable, and two groups showing declines in marital satisfaction, one being medium and the other one being low in satisfaction at the beginning of the marriage, and we named them Medium Declining and Low Declining respectively. Spouses with lower initial marital satisfaction experienced a faster decline and suffered the highest divorce rate. Actor-Partner Interdependence Model (APIM) analysis revealed that one's group membership was predicted by their partner's membership, suggesting a mutual influence on marital development. Being in a covenant marriage was able to predict husbands' membership as covenant husbands were found to be more likely in the high stable group.