Kanazawa (2004) avait démontré qu’avoir des enfants ne rendait pas les parents plus heureux. La parentalité diminue en fait le bonheur. En utilisant les données du General Social Survey, il montre que la parentalité a un effet négatif sur le bonheur (variable dépendante) mais que le fait d’être marié était associé à un bonheur plus élevé. Je vais ici tenter de répliquer ce résultat. Ensuite, je commenterais l’étude de Myrskylä & Margolis (2012) dont la conclusion des auteurs diffère de la mienne. Enfin, j’expliquerai que ces mesures du “bonheur général” ne sont pas des évaluations adéquates du bonheur.
Tag Archives: GSS
Race-SES Interaction : Some Evidence of Increasing Black-White IQ Differences With SES Levels From Various Survey Data
I present here some more evidence about the race*SES interaction concerning IQ from various survey data. The techniques are employed. Comparison of means among different SES strata, ANCOVA and multiple regression.
Determinants of Divorce (GSS)
Using the General Social Survey data, I try to investigate which factor is the most determinant of divorce. For this purpose, I use the logistic regression. (note : I have updated the analysis.)
Determinants of Health (GSS)
Using the General Social Survey data, I try to investigate which factor is the most determinant of health. The present analysis had been edited since I got the SPSS data format available here. (click on “Cumulative Data Set (cross-sectional samples from all years): GSS 1972-2012 Cross-Sectional Cumulative Data (Release 2, June 2013)”. All of the following is done in SPSS, rather than SPA program.
Relationship between General Happiness and Number of Children (GSS)
Using the General Social Survey data, I try to investigate whether general happiness is correlated with having children. For this purpose, I use the logit regression. Below are the variables used in the regressions.
Sex Frequency and Sex Partners versus Income and Education Level (GSS)
Using the General Social Survey data, I try to investigate which factor is the most determinant of the frequency of sexual activity and the number of sexual partners. For this purpose, I use the multiple regression. Below are the variables used in the regressions.
Déterminants du divorce (GSS)
En utilisant les données du General Social Survey, je tente de déterminer les facteurs les plus importants du divorce. Pour cet objectif, j’utilise la régression logistique. Ci-dessous sont listées les variables utilisées dans la régression.
Can People Be Trusted (GSS)
Using the General Social Survey data, I try to investigate which factor is the most determinant of health. The present analysis had been edited since I got the SPSS data format available here. (click on “Cumulative Data Set (cross-sectional samples from all years): GSS 1972-2012 Cross-Sectional Cumulative Data (Release 2, June 2013)”. All of the following is done in SPSS, rather than SPA program.
Acceptance of Sex Before Marriage (GSS)
Using the General Social Survey data, I try to investigate which factor is the most determinant of the acceptance of teen sex and sex before marriage. For this purpose, I use the logit regression. Below are the variables used in the regressions.
Predictors of Belief in Evolution (GSS)
Using the General Social Survey data (SPSS format available here), I try to investigate which factor is the most determinant of belief in evolution. For this purpose, I use the logit regression. (I redid the analysis since I got the SPSS.)
Analyse Economique 