Predictive effects of subjective happiness, forgiveness, and rumination on life satisfaction
Main Article Content
I evaluated the predictive effects of subjective happiness, forgiveness, and ruminative thought style on life satisfaction with a sample of 380 Turkish university students aged between 18 and 25 years. Participants completed the Satisfaction with Life Scale, the Subjective Happiness Scale, the Trait Forgiveness Scale, and the Ruminative Thought Style Scale. Results of correlation and multiple regression analyses revealed that forgiveness and subjective happiness were positively correlated with life satisfaction, and rumination was negatively correlated with life satisfaction. The multiple regression analyses also showed that subjective happiness and forgiveness positively predicted life satisfaction, and rumination negatively predicted life satisfaction. Results are discussed in light of the related literature.
Much recent global research has been focused on optimism and the contribution of psychological features (e.g., laughter, desire, and life satisfaction) to health (see e.g., Diener & Seligman, 2002; Seligman, 2006). One of the most important concepts related to psychological health is subjective well-being (Diener & Chan, 1984), which can be divided into the dimensions of life satisfaction, abundance of positive emotions, and paucity of negative emotions (Diener, 1984; Myers & Diener, 1995). Life satisfaction is a cognitive aspect of subjective well-being and is defined as an individual’s overall evaluation of the quality of his or her life according to criteria the individual him/herself determines (Diener, Inglehart, & Tay, 2013; Diener, Oishi, & Lucas, 2003). Life satisfaction is related to the satisfaction derived from various aspects of a person’s life, including amusement, relaxation (Diener, Suh, & Oishi, 1997), love, family, and friendship (Suldo & Huebner, 2006). It is affected by many factors, including pleasure derived from daily life, the meaning attributed to life, life goals, a positive individual identity, and social relationships (Diener et al., 2003). Scholars have shown that life satisfaction is positively correlated with subjective well-being (Suldo & Huebner, 2004), positive interpersonal relationships (Froh et al., 2007), mood clarity (Extremera, Durán, & Rey, 2009), self-compassion (Neff & Germer, 2013; Smeets, Neff, Alberts, & Peters, 2014), and a democratic parental attitude (Deniz et al., 2013). Further, it is negatively correlated with anxiety, depression (Serin, Serin, & Özbaş, 2010), risky behaviors, and a feeling of hopelessness (Savi-Çakar, Tagay, & Karataş, 2015).
As life satisfaction is affected by many factors, it is important to study this concept alongside many others related to an individual’s nature. Subjective happiness is closely related to life satisfaction (Diener, 2000) and is defined as an individual’s subjective evaluation of his/her happiness or unhappiness (Lyubomirsky & Lepper, 1999). Previous researchers have indicated that subjective happiness has various positive effects on psychological health (Lyubomirsky, King, & Diener, 2005); however, there is no consensus as to how individuals become happy (Veenhoven, 1994), as happiness levels are affected by many contributing objective factors, such as life events (Lee & Im, 2007), income level (Takashi & Kobayashi, 2011), and emotions, thoughts, and behaviors (Layous, Nelson, & Lyubomirsky, 2012). Because happiness is subjective, some individuals feel happy with little things despite poor life conditions and hardships, whereas others in much better conditions may feel unhappy (Lyubomirsky, 2001; Myers & Diener, 1995). For this reason, researchers have begun to investigate the relationship between happiness and subjective factors. Happiness has been found to be negatively related to stress (Schiffrin & Nelson, 2010) and positively related to positive emotions, satisfying relationships (Diener & Seligman, 2002), self-esteem (Furnham & Cheng, 2000), forgiveness (Maltby, Day, & Barber, 2005), self-compassion (Akin & Akin, 2014), and quality of friendships (Akin & Akin, 2015).
One important concept that affects life satisfaction is forgiveness (Worthington, Berry, & Parrott, 2001), which is defined as the willingness to let go of negative feelings, such as anger and revenge, that an individual feels toward another person for an unjust hurt; instead, the individual tries to develop positive feelings, such as love, generosity, and mercy, toward the other person (Enright & Fitzgibbons, 2000). Forgiveness is based on an individual changing his or her motivation from revenge to compromise (McCullough, Pargament, & Thoresen, 2001); in other words, the individual tries to establish a sense of empathy, thereby making a conscious effort to increase his or her happiness (Macaskill, Maltby, & Day, 2002). Researchers of the concept of forgiveness have reported negative correlations with negative emotions (Ysseldyk, Matheson, & Anisman, 2007), neuroticism (Ballester, Muñoz-Sastre, & Mullet, 2009), anger, anxiety, and depression (Fayyaz & Besharat, 2011); conversely, forgiveness contributes positively to the development of coping skills (Maltby, Day, & Barber, 2004), the quality of interpersonal relationships (McCullough, Fincham, & Tsang, 2003), physical health (Lawler-Row, Karremans, Scott, Edlis-Matityahu, & Edwards, 2008), and psychological resilience (Eroğlu, Eldeleklioğlu, & Mendi, 2014).
In recent years, scholars have observed that rumination negatively affects life satisfaction (Ysseldyk et al., 2007). According to response style theory, rumination is defined as repeatedly thinking in a negative emotional manner and focusing on the causes and effects of events in a passive way. As individuals who experience rumination cannot find sufficient and effective solutions to their problems, they focus more on the negative aspects of events and remain in negative emotional states longer than do nonruminative individuals (Nolen-Hoeksema, 1987, 2004); these individuals also live with the effects of negative events for a longer period of time than do nonruminative individuals (Nolen-Hoeksema, Wisco, & Lyubomirsky, 2008). Researchers have also indicated that ruminative individuals have insufficient problem-solving skills (Lyubomirsky, Tucker, Caldwell, & Berg, 1999) and problematic social relationships (Lyubomirsky & Nolen-Hoeksema, 1995). Further, rumination has been found to be positively correlated with negative automatic thoughts (Nolen-Hoeksema, 2004), anxiety (Nolen-Hoeksema & Watkins, 2011), depression (Johnson, Whisman, Corley, Hewitt, & Friedman, 2014; Nolen-Hoeksema et al., 2008), and lower levels of happiness (Elliott & Coker, 2008).
The Present Study
My principal aim in this study was to evaluate the predictive effects of subjective happiness, forgiveness, and rumination on life satisfaction in a Turkish population. Although there have been different findings across different cultures with regard to life satisfaction, forgiveness, and rumination, no such studies have yet been carried out with a Turkish population. For this reason, I expected to provide valuable data for international comparisons. My second aim in this study was to explain life satisfaction by taking into consideration the collective variables of subjective well-being, forgiveness, and rumination, which, to my knowledge, have not yet been investigated. For the purpose of this study, the following hypotheses were tested:
Hypothesis 1: Subjective happiness will positively predict the life satisfaction of Turkish university students.
Hypothesis 2: Forgiveness will positively predict the life satisfaction of Turkish university students.
Hypothesis 3: Rumination will negatively predict the life satisfaction of Turkish university students.
Method
Participants
Using convenience sampling, I recruited 380 students from different departments of Uludağ University. Of the participating students, 295 (78%) were women and 85 (22%) were men, and the mean age was 22.07 ± 2.12 years. Further, 36 (9%) students were in their first year of study, 50 (14%) in their second year, 76 (20%) in their third year, and 218 (57%) in their fourth year.
Measures
Satisfaction With Life Scale (SWLS). The SWLS was developed by Diener, Emmons, Larsen, and Griffin (1985) to measure an individual’s level of satisfaction derived from life. This scale is composed of five items covering one dimension that are rated on a 7-point Likert scale (1 = strongly disagree to 7 = strongly agree), with total scores ranging between 5 and 35. Diener et al. (1985) reported that the Cronbach’s alpha internal consistency varied between .80 and .89, and it was .86 in this study. Köker (1991) created the Turkish adaptation of this scale and found that the item–total correlations varied between .71 and .80, and that the test–retest reliability was .85.
Subjective Happiness Scale (SHS). The SHS was developed by Lyubomirsky and Lepper (1999) with the aim of measuring people’s level of global happiness. This scale is composed of four items covering one dimension that are rated on a 7-point Likert scale (1 = strongly disagree to 7 = strongly agree), with total scores ranging between 4 and 28. Lyubomirsky and Lepper (1999) reported that the Cronbach’s alpha internal consistency was.86 and in this study it was .70. Akın and Satıcı (2011) created the Turkish adaptation of this scale. The test–retest correlation coefficient was calculated to be .73 by Akın and Satıcı (2011).
Trait Forgiveness Scale (TFS). The TFS was developed by Berry, Worthington, O’Connor, Parrott, and Wade (2005) to measure an individual’s forgiveness trait. This scale is composed of 10 items covering one dimension that are rated on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree). Total scores range between 10 and 50, with a higher score indicating a greater tendency to forgive. Akin, Akin, and Gediksiz (2012) created the Turkish adaptation of this scale and found that the Cronbach’s alpha internal consistency was .67, and that item–total correlation coefficients varied between .37 and .48. The test–retest correlation coefficient of this scale was found to be .88 (as cited in Uysal, Satıcı, Satıcı, & Akin, 2014). In this study, Cronbach’s alpha was .72.
Ruminative Thought Style Scale (RTSS). The RTSS was developed by Brinker and Dozois (2009) to measure an individual’s ruminative thought style, and is specific to pathological incidences in nonclinical cases. This scale is composed of 20 items rated on a 7-point Likert scale (1 = never to 7 = completely), with total scores ranging between 20 and 140. Karatepe, Yavuz, and Turkcan (2013) created the Turkish adaptation of this scale with a sample of nonclinical individuals, and found a Cronbach’s alpha coefficient of .90, and a test–retest correlation coefficient of .84. In this study, Cronbach’s alpha was .92.
Procedure and Data Analysis
The study was conducted over 3 weeks in the 2014 spring term, with all participants in one group. I distributed survey forms to the students and informed them about the aims and measures of the study in advance. Only volunteers participated, and all students answered the items in the survey in approximately 15 minutes. Data from 16 participants who submitted incomplete responses were not evaluated. Pearson correlation coefficients were calculated and multiple regression analysis was applied to all variables. Data were analyzed using SPSS version 15.00.
Results
Descriptive Statistics and Intercorrelations
Results presented in Table 1 shows the means, standard deviations, and intercorrelations among life satisfaction, subjective happiness, forgiveness, and rumination scores. The correlational analysis revealed significant relationships among the research variables. According to the results of the Pearson product-moment correlation coefficient analysis, life satisfaction was positively related to subjective happiness and forgiveness, and negatively related to rumination. As life satisfaction increased, subjective happiness and forgiveness increased, but rumination decreased. Moreover, subjective happiness was positively related to forgiveness and negatively related to rumination, whereas forgiveness was negatively related to rumination.
Table 1. Descriptive Statistics for and Correlations Among Study Variables
Note. ** p < .01.
Multiple Regression Analysis
Prior to conducting the multiple regression analysis, I checked the conditions necessary to meet the regression analysis. Normality of the variables was examined via skewness and kurtosis coefficients, which should between the intervals of ± 2 (Tabachnick & Fidell, 2007). As shown in Table 1, life satisfaction, subjective happiness, forgiveness, and rumination all had a normal distribution. Moreover, examination of the multivariate normality using LISREL version 9.1 revealed sufficient supporting evidence. Scattering graphs showed that the assumption of homoscedasticity was met. I used the Mahalanobis distance value measure to examine redundant data, comparing it to the c2 table value and taking the number of independent variables as the degrees of freedom. When the calculated value is smaller than the table value, the assumption of multivariate normality is met. Participants with Mahalanobis distance values above the χ2 table values were determined to have provided extreme values and were not included in the analysis (Büyüköztürk, 2012). In this study, only one Mahalanobis distance value was below .01 and was, therefore, not included in the analysis. In order to determine multicollinearity, I examined the bivariate correlation coefficients among the independent variables and found that all were below .80. The variance inflation factors belonging to each of the three variables with values under 10 (Tabachnick & Fidell, 2007) indicated the absence of a multicollinearity problem.
I performed a multiple regression analysis in which the dependent variable was life satisfaction and the independent variables were subjective happiness, forgiveness, and rumination. Results are presented in Table 2 of the multiple regression analysis, indicating whether or not the variables of subjective happiness, forgiveness, and rumination could be used to predict satisfaction with life.
Table 2. Stepwise Multiple Regression Analysis Results for Variables Predicting Life Satisfaction
Note. ** p < .01, *** p < .001.
According to the multiple regression analysis, subjective happiness accounted for 17% of the variance in life satisfaction (R2 = .169, Adj. R2 = .166, F(1, 288) = 58.445, p < .001). Rumination, when entered at the second step, accounted for an additional 3% of the variance (R2 = .194, Adj. R2 = .189, ΔR2 = .025, F(2, 287) = 34.577, p < .001). Forgiveness, when entered last, accounted for an additional 2% of the variance (R2 = .213, Adj. R2 = .205, ΔR2 = .019, F(3, 286) = 25.866, p < .01). Overall, subjective happiness, ruminative thought style, and forgiveness explained 21.3% of the total variance in life satisfaction (R = .462, R2 = .213, F(3, 286) = 25.866, p < .001). The t test results, which indicate the relative significance of the regression coefficients, showed that the variables of subjective happiness, rumination, and forgiveness in the last model all had a significant influence on life satisfaction, and that subjective happiness was the strongest predictor.
Discussion
In this study, I examined the predictive effects of subjective happiness, forgiveness, and rumination on life satisfaction among Turkish university students. Results showed that subjective happiness and forgiveness positively predict life satisfaction, whereas rumination negatively predicts life satisfaction. Subjective happiness was found to be the strongest predictor of life satisfaction when compared to forgiveness and rumination, which is in line with the findings of previous researchers (Diener, 2000; Lyubomirsky, 2001) who stated that, although some individuals become unhappy even under good life conditions, others might feel happy under poor life conditions, so life satisfaction is considered to be a subjective state specific to the individual. Diener (1984) also described life satisfaction as an individual’s evaluation of his/her life according to his/her own standards. As both variables are based on individuals’ self-evaluations, the finding that subjective happiness significantly predicts life satisfaction is consistent with these results. Uysal et al. (2014) examined relationships among life satisfaction, subjective happiness, and vitality of Turkish people, and also found a moderate relationship between life satisfaction and subjective happiness.
My results in this study also indicate that forgiveness and life satisfaction are positively related and that forgiveness significantly predicts life satisfaction; however, this relationship is weaker than I had expected. Worthington et al. (2001) reported finding a robust positive relationship between forgiveness and life satisfaction, but McCullough, Bellah, Kilpatrick, and Johnson (2001) found that this relationship was weak. The latter results may be explained by the nature of the life satisfaction construct, because this construct—as with self-esteem and loneliness—is strictly self-referential. Traits, such as anger or rumination, are specific to an individual but are not entirely self-referential because they are also related to the way an individual interacts with others (Muñoz-Sastre, Vinsonneau, Neto, Girard, & Mullet, 2003). In a study of two different European groups, Muñoz–Sastre et al. (2003) found a weak relationship between forgiveness and life satisfaction. These differing findings may be attributable to the use of different scales or may have resulted from cultural differences.
My finding that rumination negatively predicted life satisfaction aligns with the results of some previous studies (e.g., Nolen-Hoeksema, 1987). Treynor, Gonzalez, and Nolen-Hoeksema (2003) found a moderately strong relationship between rumination and depression, which resulted in lower life satisfaction across all three dimensions of rumination. Ysseldyk et al. (2007) found that there was a negative correlation between rumination and life satisfaction, and, by using regression analysis, that rumination negatively predicted life satisfaction. In a study of Asian- and European-Americans, Tsai (2010) found a significant relationship between rumination and life satisfaction and additionally found that Asian-Americans were more ruminative than were European-Americans.
In my study, the relationship between life satisfaction and subjective happiness was comparatively weaker than that in the abovementioned previous studies. This difference might have resulted from the scales I used; however, in order to interpret these results rigorously, additional studies evaluating the Turkish population are needed. In addition, subjective happiness, ruminative thought style, and forgiveness accounted for 21.3% of the total variance in life satisfaction. As this is a relatively small amount, future researchers are recommended to examine other variables that influence life satisfaction.
Some limitations to my study should be considered when interpreting these results. First, participants were university students and, therefore, the results may not be generalizable to all adults. Second, the population was nonclinical, so it may be worth repeating the analysis with a clinical sample. Third, the results obtained are limited to self-reported answers from the participants; thus, the data may have been biased because they were obtained from a single source. Last, since correlational statistics were employed, causality cannot be stated.
Conclusion
In summary, my results indicate that life satisfaction is positively correlated with subjective happiness and forgiveness but negatively correlated with a ruminative thought style. The results have important theoretical and empirical implications. First, these results are consistent with those obtained in past studies of life satisfaction, subjective happiness, and rumination (Diener, 1984, 2000; Nolen-Hoeksema, 1987). Second, in Turkey, researchers have just begun to study these variables in nonclinical populations, but I do not know of any practice-oriented studies. For this reason, my results are important for psychological healthcare workers, who can include these variables into their supportive and preventive programs in order to assess important characteristics that contribute to good psychological health. Additional studies focused on the importance of forgiveness for good psychological health would also be beneficial for this group, as would the development of problem-solving skills in order to decrease rumination for the development and maintenance of good psychological health. Taken together, the life satisfaction predictors studied here could be used to help adolescents establish healthy relationships with their peers and within their social environment.
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Table 1. Descriptive Statistics for and Correlations Among Study Variables
Note. ** p < .01.
Table 2. Stepwise Multiple Regression Analysis Results for Variables Predicting Life Satisfaction
Note. ** p < .01, *** p < .001.
Jale Eldeleklioğlu, Department of Guidance and Counseling Psychology, Faculty of Education, Uludag University, Görükle Campus, 16285 Bursa, Turkey. Email: [email protected]