Happiness in Italy: Translation,Factorial Structure and Norming of the Subjective Happiness Scale in a Large Community Sample

The Subjective Happiness Scale (SHS) is one of the most commonly used measures of happiness. Many translations and validation studies have been carried out in different countries and languages. The aim of the current paper was to investigate the psychometric properties of the Italian translation of the SHS and to provide normative data. The SHS was administered with life satisfaction items, anxiety and depression scales to a community sample of 993 participants, aged 18–85 years, living in different parts of Italy. Age and gender distributions were stratified according to the population pyramid. Confirmatory Factor Analysis supported the unidimensionality of the SHS, with acceptable fit indexes (NNFI = .96; CFI = .99; RMSEA = .08; 95 % C.I. [.04–.12]). Multi-group analyses supported total invariance of the SHS measurement model for males and females, and partial invariance for younger (i.e., 18–44 years old) and older (i.e., 45–85 years old) participants. Significant correlations with satisfaction items, anxiety and depression provided evidence for concurrent validity. These findings showed that the Italian SHS translation is a reliable and valid tool, which adds to existing translations and validation studies in different countries and languages.     

Social and Economic Determinants of Reproductive Behavior Before the Fertility Decline. The Case of Six Italian Communities During the Nineteenth Century

In recent decades, main demographic historical research assessed the importance of bio-demographic components in human reproduction, before the diffusion of birth control and contraceptive techniques. According to this dominant view, before fertility decline, marital fertility was mainly regulated by biological and physiological factors and socio-economic factors played only a limited and indirect role. In order to demonstrate the importance of non-biological components, the present study focuses on six pre-transitional communities situated in different geographic areas of Italy. The work aims to demonstrate how fertility levels could significantly be affected by social and economic factors even in natural fertility populations, before the diffusion of contraceptives. Micro-level data are collected from several historical sources, and discrete-time event history models are applied to female reproductive careers in order to estimate effects of socio-economic status, household structure, and price fluctuations on marital fertility, controlling for several bio-demographic factors. Despite clear differences in geographic localization and environment, marital reproductive behavior appeared to be significantly and constantly affected by socio-economic status, household composition, and price levels in all the investigated communities.     

Soccer Scores,Short-Term Mood and Fertility

European Journal of Population - Previous research has shown that seemingly irrelevant events such as unexpected outcomes in sporting events can affect mood and have relevant consequences for...     

Time Horizon and Cooperation in Continuous Time

We study social dilemmas in (quasi‐) continuous‐time experiments, comparing games with different durations and termination rules. We discover a stark qualitative contrast in behavior in continuous time as compared to previously studied behavior in discrete‐time games: cooperation is easier to achieve and sustain with deterministic horizons than with stochastic ones, and end‐game effects emerge, but subjects postpone them with experience. Analysis of individual strategies provides a basis for a simple reinforcement learning model that proves to be consistent with this evidence. An additional treatment lends further support to this explanation.     

Building an integral metatheory of management

The increasing fragmentation of organization theory seems not to be responding to the challenges and complexities of organizations and society. This article contends that integral theory can make an important contribution to our discipline and presents a metatheory that integrates all previous organizational knowledge in an integral, balanced and non-marginalizing framework. Using metatriangulation techniques it reviews management and organization theories, classifies them according to their underlying paradigms and integrates them in a new metatheory. The resulting theory called “3D Management” maintains that there are 3 basic and irreducible dimensions of management: science, arts and ethics which refer respectively to the techno-economical, the aesthetic-emotional and the moral aspects of organizational reality. The fourth management dimension, the spiritual dimension, integrates the Big Three in an essential unit and strives for unity and meaning. An assessment of the theory and a concluding discussion of its contributions and potential applications is provided.     

The Euclidean distance classifier: an alternative to the linear discriminant function

The sample linear discriminant function (LDF) is known to perform poorly when the number of features p is large relative to the size of the training samples, A simple and rarely applied alternative to the sample LDF is the sample Euclidean distance classifier (EDC). Raudys and Pikelis (1980) have compared the sample LDF with three other discriminant functions, including thesample EDC, when classifying individuals from two spherical normal populations. They have concluded that the sample EDC outperforms the sample LDF when p is large relative to the training sample size. This paper derives conditions for which the two classifiers are equivalent when all parameters are known and employs a Monte Carlo simulation to compare the sample EDC with the sample LDF no only for the spherical normal case but also for several nonspherical parameter configurations. Fo many practical situations, the sample EDC performs as well as or superior to the sample LDF, even for nonspherical covariance configurations.     

Ethnic mobilization,multiculturalism and the political process in two Belgian cities: Antwerp and Liège

Next to discussing aspects of the political and social situation of migrant ethnic communities in two Belgian cities, this article provides interesting insight into identity politics in contemporary Belgium divided between the Flemish emphasis on cultural and linguistic homogenization and hegemonization and the Walloon focus on citizenship. This fundamental ideological split influences also how multiculturalism is discussed and practiced in the two parts of Belgium in general and in Antwerp and Liege in particular.     

Even Risk-Averters may Love Risk

A decision maker bets on the outcomes of a sequence of coin-tossings. At the beginning of the game the decision maker can choose one of two coins to play the game. This initial choice is irreversible. The coins can be biased and the player is uncertain about the nature of one (or possibly both) coin(s). If the player is an expected-utility maximizer, her choice of the coin will depend on different elements: the nature of the game (namely, whether she can observe the outcomes of the previous tosses before making her next decision), her utility function, the prior distribution on the bias of the coin. We will show that even a risk averter might optimally choose a riskier coin when learning is allowed. We will express most of our results in the language of stochastic orderings, allowing comparisons that are valid for large classes of utility functions.