Presentation on theme: "STABILITY OF HAPPINESS IN A CHANGING SOCIETY A LATENT GROWTH ANALYSIS ON A ROMANIAN PANEL DATA Sergiu Bălţătescu University of Oradea Fifth ISQOLS Conference."— Presentation transcript:
STABILITY OF HAPPINESS IN A CHANGING SOCIETY A LATENT GROWTH ANALYSIS ON A ROMANIAN PANEL DATA Sergiu Bălţătescu University of Oradea Fifth ISQOLS Conference July 20-24.2003 Frankfurt
Recent & challenging issues in quality of life research Stability of happiness Sources of changes in subjective well- being over time Quality of life in developing and transition countries
Types of stability in societal levels – stability of aggregate levels of happiness (mean, variance) (Andrews, 1991), (Diener, 1994), (Veenhoven, 1994) in structure or correlates (Andrews, 1991), (Bryant, 1982). at the individual level: relative or absolute
Stability at the individual level absolute, that is in measured levels. – This approach (using scores of of change) was criticized for its low reliability and for influences of mood biases. (Headey & al., 1995). in rank-orders (or relative stability) – defined in terms of absence of “mobility along the happiness ladder” (Ehrhardt & al., 2000) (Headey, 1992)
Stability of happiness (i.e. in rank-order) Two conflicting theories: Happiness is traitlike Happiness is statelike
Support for traitlike theory The theory was forwarded by Stones (1995) (Costa, 1987) Individual differences in happiness are more important in influencing happiness levels and explain greater variance than situational effects. (Lykken, 1996) Based on the retest of smaller samples of twins after intervals of 4.5 and 10 yrs, it is estimated that the heritability of the stable component of subjective well-being approaches 80%
Support for statelike theory Veenhoven (1994, 1998) “happiness is quite stable for the short term, but not in the long run, neither relatively nor absolutely”
Implications of the theories If happiness is a trait (i.e. at a fixed level - relative or absolute), then utilitarian social policies designed to improve well-being cannot meet their end. (Veenhoven, 1994)
Methods of testing stability Correlational studies SEM-based approaches
Correlational studies most frequently used estimation of the correlation of happiness between two points in time “The reported correlations are typically in the realm of +.50, which is usually interpreted as evidence for high stability” (Ehrhardt & al, 2000) “Classical” Pearson P criticized for being too sensible at the change in levels Tetrachoric correlation recommended.
SEM-based approaches rather recently used First use in QOL research by (Headey & al., 1985) Structural Equations are combinations of regression, factorial & reliability analysis They use latent variables and take into account the residual variance (due to errors) (Maruyama, 1998) Recent models: (Ehrhardt & al., 2000) (Saris, 2001)
SEM-based approaches for panel data: crosslaged models (markovian models, autoregressive crosslaged models) Critiques: – 1. are fixed effects models – 2. the mean structure is ignored – change between 2 points is independent of earlier changes (Curran, 2001)
Critiques of the crosslaged models as applied to happiness data 1. the fixed effects model – it is unreasonable to think that the same determination mechanism works for all individuals 2. the mean structure is ignored happiness data are organized in trends. the slope may be ascending/descending, steep or smooth, different from one group to another 3. the change between 2 points is independent of earlier or latter changes the effects of predictors for happiness changes are additive and on a rather “longue duree”
SEM studies Ehrhardt, Saris & Veenhoven, 2000 Data: German Socio-Economic Panel (11 yearly waves, 1984-1994, people aged 18 years, 5483 respondents). Year-to-year correlation started at +.45 and increased gradually to +.54. The correlation between the first and later reports declined through the years: the correlation between the first and the third report varied between.+.38 and +.53
SEM studies Ehrhardt, Saris & Veenhoven, 2000 Two models: 1. life-satisfaction of a person depends mainly on turns in life 2. life-satisfaction depends also on the person's stable stocks (body, personality and social position) Using a SEM model, authors fitted both models.
SEM-based approaches for panel data: Latent Growth Curves alternative model for the analysis of change Introduced by Meredith & Tisak (1990) They started analyzing trajectories of individual change over time. The SEM model they introduced was designed to smooth (they call it “tuckerize”) curves, to estimate the continuos trajectory that gave rise to the time specific observed measures.
Latent Growth Curves (The SEM model) Two latent factors: The stable component (the intercept). – its value is the initial mean value of the level of the studied variable The changing component (the slope). – its value is the mean value of the slope of the trajectory of the studied variable Intercept and slope – may or not be correlated – have different predictors
Latent Growth Curves (The SEM model specification) The regression coefficients of intercept to observed time variables is set to a constant (say 1) The regression coefficients of the slope factor to observed variables is linearly increased (0,1,2,3…) If the slope is supposed to be non- linear, then the regression coefficients are set a non-linear trend (ex: 0, 1, 2, 4, 8) or remain unspecified (0, a, b, c, 1)
Latent Growth Curves (Applications) In general psychology developmental processes – reading skills (Aunola & al., 2002) – self-concept, self-efficacy (Duncan & al., 1993) – antisocial behaviour (Duncan, 2002) (Li & al., 2000) – adolescent substance use (Duncan & al., 1994) experimantal designs (Muthen & Curran, 1997). In psychological well-being studies changes in positive/negative affect (Charles & al., 2001) stressor-strain relationship (Garst & al., 2000) enhancing psychological well-being of elderly (Li & al., 2001)
Latent growth curves in well-being models Benefits of the method identifies the stable and the changing components of well-being evaluates the correlations between those two. identifies the predictors of the stable component (psychological factors like personality) and the predictors of the change (life events) permit evaluations of different groups (sex, age, clinical, non-clinical, social status, etc) intercept and slope.
A latent growth curves model for the German data Data were reanalyzed from the covariance matrices and mean included in (Ehrhardt & al., 2000). We used 6 waves (1984-1989). Data shows a slight decreasing trend. In a variant of the model, I set only the first and the last regression coefficients from the slope to observed variables, letting the SEM program to estimate the others, as recommended, among others, by Curran (2001). We used AMOS 4.0 (Arbuckle, 1999) A more complicated design, recommended by (Anderson, 2000)
Fit indexes: Linear decreaseFull LGM Chi-square169,29124,374 P 00 Normed fit index0,9980,999 Relative fit index0,9980,998 Incremental fit index0,9980,999 Tucker-Lewis index0,9980,998 Comparative fit index0,9980,999 Intercept mean: 7,51 Intercept SD: 1,42 Slope Mean: -0,401 Slope SD: 1,114 Correlation SLOPE-INTERCEPT = 0,44
A latent growth curves model for the German data
Happiness levels in transition and developing countries levels are lower giving the poor socio- economic conditions.
Happiness structure in transition and developing countries income levels are higher determinants than in other countries. bottom-up and top-down effects included
Other socio-economic determinants macroeconomic instability concern for unemployment(Graham, 2001) frustrated achievers (Graham, 2002) all included, it is suggested that a higher instability of happiness will be found in rapid changing societies
Case study: Romania november 1996-1999 1997 was the beginning of a new electoral cycle dissapointing new government actions economic and social mood indicators dropped.
The life satisfaction scale Used in ‘Diagnosis of quality of life’ survey program (ICCV, 1990-1999) Sample: national, random, around 1200 cases A 5-point simple life satisfaction scale: “Considering the whole situation, how satisfied are you about your daily life? a. Very unsatisfied b.Unsatisfied c.Neither unsatisfied, nor satisfied d.Satisfied e.Very satisfied” See: Mărginean (1991), Zamfir (1992) See also: www.iccv.ro
Life satisfaction in Romania (1990-1999) Source: Diagnosis of Quality of life Data were liniarly transformed to 0- 10 scale After 1990, the mean is under the median line
Quality of life panel 1996-1998 representative sample of 700 subjects analysis of dropouts shows no significant differences with the panel.
LGM MODEL Additional constrains has to be imposed to fit the model: - equality of the variances of the residual terms It was used the AMOS option to fit the non-positive covariance matrices A poor fit resulted There are no additional constraints to be imposed to increase the fit of the model
Discussion Correlational study Atypical correlation They not decrease over time as predicted by Erhardt & al. Has lower levels than in Germany (and also in other advanced countries)
Correlational study Possible causes: Methodological explanations: – Coarse (ordinal level) measurement used. – It is a less reliable measurement – The coarse correlation coefficients are usually lower
Correlational study Possible causes: Theoretical : – Macroeconomic instability produce large variations in the happiness levels. – “Frustrated achievers”, as Graham (2001) found in other developing countries
Limitations of the method Minimal conditions Semi-interval scales (over 4 points) Three or more waves in the panel For 3 vawes, restrictions to be imposed are often unacceptable from the theoretical point of view Optimal conditions Semi-interval scales (over 11-200 points) More than three waves in the panel (applicable for German Socio- Economic Panel, Russian Panel, etc.)
References Acock, A. C. and F. Z. Li. 2002. "Latent Growth Curve Analysis: A Gentle Introductions." Anderson, E. 2000. "Fitting a latent growth curve model." AMOS FAQ 4. Statistical Services FAQ http://www.utexas.edu/cc/faqs/stat/index.html. Andrews, F. M. 1991. "Stability and Change in Levels and Structure of Subjective Well-Being - Usa 1972 and 1988." Social Indicators Research 25:1-30. Arbuckle, James L. 1999. "Amos." Chicago: SmallWaters Corp. Argyle, Michael and Benoit Giroux. 1997. "The effect of environmental variables on happiness/L'effet des variables environnementales sur le bonheur." Revue Quebecoise de Psychologie 18:75-98.
References Aunola, Kaisa, Esko Leskinen, Tiina Onatsu- Arvilommi, and Jari-Erik Nurmi. 2002. "Three methods for studying developmental change: A case of reading skills and self-concept." British Journal of Educational Psychology 72:343-364. Bryant, F.B. and J. Veroff. 1982. "The Structure of Psychological Well-being: a Sociohistorical Analysis." Journal of Personality and Social Psychology, Vol. 43, 1982, 653-673. Chamberlain, K. 1988. "On the Structure of Subjective Well-Being." Social Indicators Research 20:581-604. Charles, Susan Turk, Chandra A. Reynolds, and Margaret Gatz. 2001. "Age-related differences and change in positive and negative affect over 23 years." Journal of Personality & Social Psychology 80:136- 151. Chen, Chaonen. 2001. "Aging and life satisfaction." Social Indicators Research 54:57-79. Costa, Paul T., Robert R. McCrae, and Alan B. Zonderman. 1987. "Environmental and dispositional influences on well-being: Longitudinal follow-up of an American national sample." British Journal of Psychology 78:299-306. —. 1987. "Environmental and dispositional influences on well-being: Longitudinal follow-up of an American national sample." British Journal of Psychology 78:299-306. Cummins, R. A. and H. Nistico. 2001. "Maintaining life satisfaction: The role of positive cognitive bias." (draft - to appear in Journal of Happiness Studies). Curran, P. J. and Andrea M. Hussong. 2001. "Structural Equation Modeling of Repeated Measures Data." in Modeling Intraindividual Variability with Repeated Measures Data: Methods and Applications, vol. 59-86, edited by D. Moskowitz and S. Hershberger. New York: Erlbaum Associates. Curran, Patrick J. and Kenneth A. Bollen. 2001. "The best of both worlds: Combining autoregressive and latent curve models." Pp. 107-135 in New methods for the analysis of change. Decade of behavior, edited by L. M. Collins and A. G. Sayer. Washington, DC: American Psychological Association. Dickes, Paul, Jean-Luc Kop, and Jocelyne Tournois. 1996. "Structural Equation Models and Direction of Causality with Longitudinal Data: An Application to Subjective Well-Being." BMS, Bulletin de Methodologie Sociologique 50:20-55. Diener, E. 1994. "Assessing Subjective Well-Being - Progress and Opportunities." Social Indicators Research 31:103-157. —. 2000. "Subjective Well-Being - the Science of Happiness and a Proposal for a National Index." American Psychologist 55:34-43. Duncan, Susan C., Terry E. Duncan, Lisa A. Strycker, and Nigel R. Chaumeton. 2002. "Relations between youth antisocial and prosocial activities." Journal of Behavioral Medicine 25:425-438. Duncan, T. E., S. C. Duncan, and M. Stoolmiller. 1994. "Modeling Developmental Processes Using Latent Growth Structural Equation Methodology." Applied Psychological Measurement 18:343-354. Duncan, T. E. and E. McAuley. 1993. "Social Support and Efficacy Cognitions in Exercise Adherence - a Latent Growth Curve Analysis." Journal of Behavioral Medicine 16:199-218. Easterlin, R. A. 2001. "Income and happiness: Towards a unified theory." Economic Journal 111:465-485. Ehrhardt, J. J., W. E. Saris, and R. Veenhoven. 2000. "Stability of Life-Satisfaction over Time: Analysis of Change in Ranks in a National Population." Journal of Happiness Studies 1:177-205. —. 2000. "Stability of Life-Satisfaction over Time: Analysis of Change in Ranks in a National Population." Journal of Happiness Studies 1:177-205. Feist, Gregory J., Todd E. Bodner, John F. Jacobs, Marilyn Miles, and et al. 1995. "Integrating top-down and bottom-up structural models of subjective well- being: A longitudinal investigation." Journal of Personality & Social Psychology 68:138-150. Frijters, Paul. 2000. "Do individual try to maximize general satisfaction?" Journal of Economic Psychology 21:281-304. Garst, H., M. Frese, and P. C. M. Molenaar. 2000. "The temporal factor of change in stressor-strain relationships: A growth curve model on a longitudinal study in East Germany." Journal of Applied Psychology 85:417-438. George, Linda K. 1979. "The happiness syndrome: Methodological and substantive issues in the study of social-psychological well-being in adulthood." Gerontologist 19:210-216. Graham, C. and S. Pettinato. 2002. "Frustrated achievers: Winners, losers and subjective well-being in new market economies." Journal of Development Studies 38:100-140. —. 2002. "Frustrated achievers: Winners, losers and subjective well-being in new market economies." Journal of Development Studies 38:100-140. Graham, Carol and Stefano Pettinato. 2001. "Happiness, Markets, and Democracy: Latin America in Comparative Perspective." Journal of Happiness Studies 2:237-268. —. 2001. "Happiness, Markets, and Democracy: Latin America in Comparative Perspective." Journal of Happiness Studies 2:237-268. Hagerty, Michael R. 2002. "WAS LIFE BETTER IN THE "GOOD OLD DAYS" INTERTEMPORAL JUDGMENTS OF LIFE SATISFACTION." working paper. Headey, B., T. Glowacki, E. Holmström, and A.J. Wearing. 1985. "Modelling Change in Perceived Quality of Life (PQOL)." Social Indicators Research, 1985, Vol. 17, 267-298. Headey, Bruce, Peter Krause, and Roland Habich. 1995. "East Germany: Rising Incomes, Unchanged Inequality and the Impact of Redistributive Government 1990-92." The British Journal of Sociology 46:225-243. Headey, Bruce, Ruut Veenhoven, and Alex Wearing. 1991. "Top-down versus bottom-up theories of subjective well-being." Social Indicators Research 24:81-100. Headey, Bruce W., Alex J. Wearing, and Ruut Veenhoven. 1990. "Which Variables Cause Subjective Well-Being and Which Are Consequences?" in International Sociological Association (ISA). Headey, Bruce and Alexander J Wearing. 1992. Understanding happiness : a theory of subjective well-being. Melbourne :: Longman Cheshire. Horley, James and J. John Lavery. 1991. "The stability and sensitivity of subjective well-being measures." Social Indicators Research 24:113-122. Inglehart, R. 1990. "Culture Shift in Advanced Industrial Society." Princeton University Press, 1990, Princeton, USA. ISBN 0 691 07786 X. Kozma, Albert, Susan Stone, M. J. Stones, T. E. Hannah, and et al. 1990. "Long- and short-term affective states in happiness: Model, paradigm and experimental evidence." Social Indicators Research 22:119-138. Kunzmann, Ute, Todd D. Little, and Jacqui Smith. 2000. "Is age-related stability of subjective well-being a paradox? Cross-sectional and longitudional evidence from the Berlin Aging Study." Psychology & Aging 15:511-526. Landua, Detlef. 1992. "An attempt to classify satisfaction changes: Methodological and content aspects of a longitudinal problem." Social Indicators Research 26:221-241. —. 1993. "Changes in Reports of Satisfaction in Panel Surveys. An Analysis of Some Unintentional Effects of the Longitudinal Design." Kolner Zeitschrift fur Soziologie und Sozialpsychologie 45:553-571. Lengyel, Gyorgy and Istvan Janos Toth. 1999. "Class Position, Income Opportunities and Satisfaction." Innovation 12:567-581. Li, Fuzhong, Terry E. Duncan, and Alan Acock. 2000. "Modeling interaction effects in latent growth curve models." Structural Equation Modeling 7:497-533. Li, Fuzhong, Terry E. Duncan, Susan C. Duncan, Edward McAuley, Nigel R. Chaumeton, and Peter Harmer. 2001. "Enhancing the psychological well- being of elderly individuals through Tai Chi exercise: A latent growth curve analysis." Structural Equation Modeling 8:53- 83. Lu, L. 1999. "Personal or environmental causes of happiness: A longitudinal analysis." Journal of Social Psychology 139:79-90. Lucas, Richard E., Andrew E. Clark, Yannis Georgellis, and Ed Diener. 2003. "Reexamining adaptation and the set point model of happiness: Reactions to changes in marital status." Journal of Personality & Social Psychology 84:527-539. Lykken, David and Auke Tellegen. 1996. "Happiness is a stochastic phenomenon." Psychological Science 7:186-189. Marshall, Grant N., M. Audrey Burnam, Paul Koegel, Greer Sullivan, and Bernadette Benjamin. 1996. "Objective Life Circumstances and Life Satisfaction: Results from the Course of Homelessness Study." Journal of Health and Social Behavior 37:44-58. Maruyama, G. 1998. Basics of Structural Equation Modeling.. London, New York: Sage Publication. Mastekaasa, Arne and Stein Kaasa. 1989. "Measurement error and research design: A note on the utility of panel data in quality of life research." Social Indicators Research 21:315-335. Mãrginean, Ioan. "Diagnoza Calitãþii Vieþii 1990- 1999." Institutul de Cercetare a Calitãþii Vieþii. Meredith, W. and J. Tisak. 1990. "Latent curve analisys." Psychometrika 55:107-122. Meulemann, Heiner. 2001. "Life satisfaction from late adolescence to mid-life: The impact of life success and success evaluation on the life satisfaction of former gymnasium students between the ages 30 and 43." Journal of Happiness Studies 2:445-465. Mohr, Hans-Michael. 1987. "Analyses of the comparability of satisfaction measures/Analysen zur Vergleichbarkeit von Zufriedenheitsmessungen." Zeitschrift fuer Sozialpsychologie 18:160-168. Moller, V. and W. E. Saris. 2001. "The Relationship Between Subjective Well-Being and Domain Satisfactions in South Africa." Social Indicators Research 55:97-114. Moller, Valerie and Willem E. Saris. 2001. "The relationship between subjective well-being and domain satisfactions in South Africa." Social Indicators Research 55:97-114. Muthen, Bengt O. and Patrick J. Curran. 1997. "General longitudinal modeling of individual differences in experimental designs: A latent variable framework for analysis and power estimation." Psychological Methods 2:371-402. Ouweneel, Piet. 1990. "Is Happiness a Fixed Trait? Test of the Thesis That Improving Life Does Not Raise Satisfaction with It." in International Sociological Association (ISA). Palmore, Erdman and Vira Kivett. 1977. "Change in life satisfaction: A longitudinal study of persons aged 46-70." Journal of Gerontology 32:311-316. Patterson, G. R. 1993. "Orderly Change in a Stable World - the Antisocial Trait as a Chimera." Journal of Consulting and Clinical Psychology 61:911-919. Ptacek, J. T. 2001. "Personality factors and the short- term variability in subjective well-being." Journal of Happiness Studies 2:355-373. Rode, Joseph Charles. 2002. "The role of core evaluations within a comprehensive job and life satisfaction model: A longitudinal analysis." Dissertation Abstracts International Section A: Humanities & Social Sciences 63:1908. Roth, David L., William E. Haley, Jason E. Owen, Olivio J. Clay, and Kathryn T. Goode. 2001. "Latent growth models of the longitudinal effects of dementia caregiving: A comparison of African American and White family caregivers." Psychology & Aging 16:427-436. Rothermund, Klaus and Jochen Brandtstaedter. 1998. "Impact of negative life changes and losses on subjective life quality: Buffering effects of age and residual life time/Auswirkungen von Belastungen und Verlusten auf die Lebensqualitaet: alters und lebenszeitgebundene Moderationseffekte." Zeitschrift fuer Klinische Psychologie. Forschung und Praxis 27:86-92. Saris, Willem E. 2001. "The relationship between income and satisfaction: The effect of measurement error and suppressor variables." Social Indicators Research 53:117-136. —. 2001. "The relationship between income and satisfaction: The effect of measurement error and suppressor variables." Social Indicators Research 53:117-136. —. 2001. "The strength of the causal relationship between living conditions and satisfaction." Sociological Methods & Research. Special Issue: Causality at work 30:11-34. —. 2001. "What influences subjective well-being in Russia?" Journal of Happiness Studies 2:137-146. Saris, Willem E. and Anna Andreenkova. 2001. "Following Changes in Living Conditions and Happiness in Post Communist Russia: The Russet Panel." Journal of Happiness Studies 2:95-109. Schilling, Oliver and Hans-Werner Wahl. 2002. "Family Networks and Life Satisfaction of Older Adults in Rural and Urban Regions." Kolner Zeitschrift fur Soziologie und Sozialpsychologie 54:304-317. Schimmack, Ulrich, Ed Diener, and Shigehiro Oishi. 2002. "Life-satisfaction is a momentary judgment and a stable personality characteristic: The use of chronically accessible and stable sources." Journal of Personality 70:345-384. —. 2002. "Life-satisfaction is a momentary judgment and a stable personality characteristic: The use of chronically accessible and stable sources." Journal of Personality 70:345-384. Stones, M. J., Thomas Hadjistavropoulos, Holly Tuuko, and Albert Kozma. 1995. "Happiness has traitlike and statelike properties: A reply to Veenhoven." Social Indicators Research 36:129-144. Stones, M. J., A. Kozma, T. E. Hannah, and W. A. McKim. 1991. "The correlation coefficient and models of subjective well-being." Social Indicators Research 24:317-327. Stull, D.E. 1987. "Conceptualization and Measurement of Well-being: Implications for Policy Evaluation." "Borgatta, E.F.;Montgomery, R.J.;Eds.:""Critical Issues in Aging Policy.Linking Research and Values"", Sage, 1987, London, UK, 55-90". Suh, Eunkook, Ed Diener, and Frank Fujita. 1996. "Events and subjective well-being: Only recent events matter." Journal of Personality & Social Psychology 70:1091-1102. van der Werff, Jacqueline and Robbert Sanderman. 1989. "Does happiness buffer stress?" Pp. 7-16 in How harmful is happiness? Consequences of enjoying life or not, edited by R. Veenhoven. Rotterdam, Netherlands: Universitaire Pers Rotterdam. Veenhoven, R. 1993. Happiness in nations : subjective appreciation of life in 56 nations, 1946- 1992. Rotterdam, Netherlands :: Erasmus University of Rotterdam, Department of Social Sciences, RISBO, Center for Socio-Cultural Transformation. Veenhoven, R. 1998. "Two State-Trait Discussions on Happiness - a Reply to Stones Et Al." Social Indicators Research 43:211-225. Veenhoven, Ruut. 1994. "Is happiness a trait? Tests of the theory that a better society does not make people any happier." Social Indicators Research 32:101-160. Wiese, Bettina S., Alexandra M. Freund, and Paul B. Baltes. 2002. "Subjective career success and emotional well-being: Longitudinal predictive power of selection, optimization and compensation." Journal of Vocational Behavior 60:321-335. Yardley, John K. and Robert W. Rice. 1991. "The relationship between mood and subjective well- being." Social Indicators Research 24:101-111. Zamfir, C. 2001. "Poverty in Romania." Report.