Index
Note: Page numbers followed by “f”, and “t” refers to figures and tables respectively.
A
Active labor market policies (ALMP) variable,
203,
205Adaptation level (AL),
82Additive genetic influences,
13Australian Unity Wellbeing Index (AUWI) survey,
90–91Autonomous regulation,
46–47Autoregressive model,
130Autoregressive trait (ART) variance,
131–132Average change coefficient,
175B
Bayesian structural equation modeling,
269–270life satisfaction, analysis of change,
109–110partner personality traits,
107work-leisure balance,
117Behavioral genetic research, theoretical implications,
4British Household Panel Study (BHPS),
99–100C
Clinical psychology
happiness concepts and well-being,
148happiness, targeted interventions,
148–150Compensatory processes,
29–30Cultures, Western society,
57Cyclothymic disorder,
158D
Death, of close friend/relative,
288,
290Diener, E.,
40,
76,
84,
86,
102,
133,
167,
223,
224–225Disability, negative life events,
59DSM-IV cyclothymic disorder,
158E
Economic approaches, happiness
subjective well-being (SWB),
219Economic research, on subjective well-being (SWB),
219Economics of happiness,
221Eligibility requirements,
203Emotional well-being (EWB),
9–10Encouraging patients,
152Environmental factors,
48–50Environmental influences,
13Equal environment assumption (EEA),
26Evocative gene-environment correlation,
26–27Excessive positivity,
150F
Family
difficulties, at risk,
91–92nonshared environment,
13G
Galatzer-Levy, I. R.,
140Gene-environment correlation (rGE),
19,
20Gene-environment interaction (GxE),
19Gene-environment interplay, positive,
29–30Genetic dispositions,
28–29German Socio-Economic Panel Study (GSOEP),
99–100Government policies, in Europe,
212average change coefficients,
176average happiness in nations,
177t,
178tcollection “Happiness in Nations,”,
172–173life not getting better,
168research
similar across time spans,
177stable happiness in nations,
180–181transformation to numerical scale,
173Gross domestic product (GDP),
202H
HAP (Happiness Adaptation Prevention) model,
300Happiness
ranks in public opinion,
167slow-to-change forces,
39individual’s life, circumstances of,
38–39intentional activities,
38–39SWB, baseline-dependent,
90–92variability amidst stability,
39substantial genetic influences, overwhelming evidence of,
27–28Happiness in Nations,
172empirical approaches in economics,
222–224evidence supporting,
59–63hierarchical linear regression method,
223–224longitudinal studies, evidence,
224–225negative life changes,
69Hedonic Adaptation Prevention (HAP) model,
64,
64–65,
64f,
65Hedonic adaptation process,
65–66positive emotions and events
honeymoon to romantic location,
65–66Hedonic adaptation theories,
5Helpers’ autonomous motivation,
45additive/nonadditive, genetic influences,
13bi/multivariate studies,
17–18biometric modeling,
12–14genetic-environmental
multivariate analyses,
14shared/common, environment,
13sibling interaction effects,
27stability and change,
18–19univariate studies,
14–17Heritability-environment interaction,
19,
19–20Household, Income and Labour Dynamics in Australia (HILDA)
I
J
Job performance, college grades,
247K
L
Labor market developments, in China,
211–212Lesbian, gay, and bisexual (LGB),
48Life events
Life satisfaction (LS),
9–10church going/religious belief,
109life priorities/values/goals,
115–116mean life satisfaction,
209fLinking change, of life events,
133–137Longitudinal data analyses, indicator-specific component,
265–266Longitudinal Study of Generation (LSOG),
250Lucas, R. E.,
84,
86,
102,
132,
138,
138–139,
223,
224,
224–225M
Macroeconomic variables,
204Material priorities index,
106configural invariance,
267latent autoregressive model,
270–271strict measurement variance,
267Measures of Happiness,
171Mediation analyses,
46–47Medium-term life satisfaction,
115Mental health problems,
11–12Mental well-being (MWB),
9–10Mindful Attention Awareness Scale (MAAS),
46in coping with stress,
46–47Moods
happiness, set points,
78–80over time, partial adaptation,
304fMultidimensional Personality Questionnaire,
18–19Multiple discrepancies theory (MDT),
78Multiwave longitudinal designs,
130–131N
National Child Development Study (NCDS),
227–228Natural quasi-experiments,
11Negative life events, in happiness,
59,
61Net replacement rate (NRR),
203,
205Nomenclature, problems,
75–76Nonadditive genetic influences,
13Norwegian Twin Registry,
23–24O
Observed difference scores
P
Person-activity fit,
29–30Personality connection,
76–78Personal Well-being Index,
76Pleasure, neuro-physiological structure,
169Point-of-time evidence
bivariate OLS regressions,
206tmultivariate OLS regressions,
207tPositive gene-environment interplay,
29–30Positive interventions,
150Positive life events, in happiness,
61Predictive homeostasis,
82Psychological well-being (PWB),
9–10,
147Psychological wellness,
37Psychologists, personality view,
105Psychometric models, for happiness change,
265–280approximate measurement invariance,
269–272latent autoregressive model,
270–271consistency/occasion specificity,
274–275latent autoregressive state-trait model with indicator-specific factors,
275flatent state-trait autoregressive model,
274–275latent state-trait change models,
275latent autoregressive model,
270–271with indicator-specific factors,
266f,
271ffor three indicators and four occasions,
265flatent state-trait change models
autoregressive state-trait discontinuous trait,
278fcontinuous/discontinuous trait change,
277–279discontinuous trait change,
277with indicator-specific factors,
276flatent third-order autoregressive model,
272flong-term panel studies, application of,
279–280configural invariance,
267weak measurement invariance,
267ordinal observed variables,
268–269partial measurement invariance,
269–272latent autoregressive model,
270–271latent state-trait model with indicator-specific factors,
273flatent third-order autoregressive model,
272fPsychotherapy-induced modifications, in well-being enduring,
158–160R
Randomized controlled trials (RCTs)
Rank-order stability,
133Ratio of rise/decline,
175Ryan, R. M.,
40,
42–43,
43,
45,
46,
46–47,
47,
48,
48–49,
147Ryff’s Scales of Psychological Well-Being (PWB),
152S
Scores, daily happiness,
3fbasic psychological needs,
40economic systems, and governmental styles,
50emotions and wellness,
42–44external regulation,
44–45to happiness and wellness,
41high-quality motivation and functioning,
41identified regulation,
44–45informational function,
42intrinsic motivation,
44–45motivational considerations,
44–45parental conditional regard,
49Self-reported happiness,
1–2Sensory adaptation processes,
5individual differences, in adaptation,
86–87joy, misery, and myth,
85–86one/many set point,
84–85Sibling interaction effects,
27Spinal-cord injury patients,
225–226Stability coefficients, changes,
129–130Stable Trait Autoregressive Trait State (STARTS) model,
131–132Stable trait (ST) variance,
131–132State-owned enterprises (SOEs),
210–211daily event variables,
292tdirect
vs. indirect assessment,
263estimated regression parameters,
293tindividual change
vs. mean change,
263–264momentary measurement,
261partial correlations,
290tpredicting/explaining change,
281–294estimated parameters,
285tgoodness-of-fit coefficients,
282tresults of different analyses,
281–287Stress-related illness,
58causal relationships, empirical challenge of,
229–230conceptual framework,
227economic approaches, happiness,
219,
279gross domestic product (GDP),
202homeostasis theory,
80–84negative affect (NA) yielding,
77positive affect (PA) yielding,
77returning high to set point,
81–82returning low to set point,
82–84Substance dependence,
11–12Substantial minorities,
99–100British Household Panel Study (BHPS),
99–100,
100German Socio-Economic Panel Study (GSOEP),
99–100,
100life satisfaction (LS) set points, long-term change,
111t,
122tHousehold Income and Labor Dynamics Australia Survey (HILDA),
99–100,
100life satisfaction (ls) set points, long-term change,
113tlife priorities/goals/values,
105–107dependent/outcome variable,
104explanatory variables,
104personality traits, of self/partner,
105sensitivity analysis/concerns,
114–115T
THETA parameterization,
281Time series evidence
mean life satisfaction,
209furban unemployment rate,
210fTwo-wave designs, alternatives,
130–133U
Urban workers, in China,
210V
von Neumann-Morgenstern model,
220W
age-old questions, positive psychology,
37clinical psychology,
11–12genetic and environmental influences,
9,
15t,
27–30happy personality, revisiting,
247–249long-term subjective changes,
301multivariate modeling,
18natural quasi-experiments,
11personality traits, as potential moderators,
245phenotypic variance, theoretical normal distribution of,
24fpotential moderators, specific traits,
253–254stability and change of,
9Well-being scores, distribution,
25fWell-being therapy
affective disorders
environmental mastery,
153cyclothymic disorder,
158generalized anxiety disorder
loss of clinical effect,
157post-traumatic stress disorder,
157–158psychotherapy-induced modifications, in well-being enduring,
158–160recurrent depression, prevention of,
156–157Western society, in cultures,
57World Bank Report, on China,
210–211WSLMV parameterization,
281Z