Does upward social mobility increase life satisfaction? A longitudinal analysis using British and Swiss panel data

A main assumption of social production function theory is that status is a major determinant of subjective well-being (SWB). From the perspective of the dissociative hypothesis, however, upward social mobility may be linked to identity problems, distress, and reduced levels of SWB because upwardly mobile people lose their ties to their class of origin. In this paper, we examine whether or not one of these arguments holds. We employ the United Kingdom and Switzerland as case studies because both are linked to distinct notions regarding social inequality and upward mobility. Longitudinal multilevel analyses based on panel data (UK: BHPS, Switzerland: SHP) allow us to reconstruct individual trajectories of life satisfaction (as a cognitive component of SWB) along with events of intragenerational and intergenerational upward mobility—taking into account previous levels of life satisfaction, dynamic class membership, and well-studied determinants of SWB. Our results show some evidence for effects of social class and social mobility on well-being in the UK sample, while there are no such effects in the Swiss sample. The UK findings support the idea of dissociative effects in terms of a negative effect of intergenerational upward mobility on SWB.

Reliabilität von retrospektiven Berufsverlaufsdaten. Ein Vergleich zwischen dem öffentlichen Dienst und der Privatwirtschaft anhand von Panel-Daten

Im vorliegenden Beitrag wird die Zuverlässigkeit retrospektiver Angaben der Befragten zu beruflichen Tätigkeiten in ihrem Berufsverlauf untersucht. Insbesondere ist ausgehend von einem Befund von De Graaf und Wegener (1989) zu klären, ob generell Beschäftigte des öffentlichen Dienstes ihren Berufsverlauf unzuverlässiger erinnern als Staatsbeschäftigte. Es wird davon ausgegangen, dass gerade Beamte aufgrund der institutionellen Besonderheiten ihrer Beschäftigung größere Schwierigkeiten haben, ihren Berufsverlauf konsistent zu rekonstruieren als andere Befragte. Empirische Analysen von Panel-Daten erhärten diese Vermutung, was die Anzahl der beruflichen Tätigkeiten anbelangt. Jedoch machen Beamte zu anderen Attributen ihres Berufsverlaufs ebenso zuverlässige Angaben wie andere Befragte auch. Diese beamtenspezifischen Erinnerungsprobleme sind bei zukünftigen Erhebungen mittels ereignisorientierter Befragungsinstrumente zu berücksichtigen.

No sports – no mental health? Analysis of longitudinal effects in SHP data.

Results from the Zurich study have shown lasting associations between sport practice and mental health. The effects are pronounced in people with pre-exising mental health problems. This analysis aims to replicate these results with the large Swiss Household Panel data set and to provide more differentiated results. The analysis covered the interviews 1999-2003 and included 3891 stayers, i.e., participants who were interviewed in all years. The outcome variables are depression / blues / anxiety, weakness / weariness, sleeping problems, energy / optimism. Confounding variables include sex, age, education level, citizenship. The analyses were carried out with mixed models (depression, optimism) and GEE models (weakness, sleep). About 60% of the SHP participants practise weekly or daily an individual or a team sport. A similar proportion enjoys a frequent physical activity (for half an hour minimum) which makes oneself slightly breathless. There are slight age-specific differences but also noteworthy regional differences. Practice of sport is clearly interrelated with self-reported depressive symptoms, optimism and weakness. This applies even though some relevant confounders – sex, educational level and citizenship – were introduced into the model. However, no relevant interaction effects with time could be shown. Moreover, direct interrelations commonly led to better fits than models with lagged variables, thus indicating that delayed effects of sport practice on the self-reported psychological complaints are less important. Model variants resulted for specific subgroups, for example, participants with a high vs. low initial activity level. Lack of sport practice is an interesting marker for serious psychological symptoms and mental disorders. The background of this association may differ in different subgroups, and should stimulate further investigations in this area.

Gender differences at the transition to higher education between migrants and non-migrants: A comparison between Switzerland and France

Within Western societies women or girls meanwhile outperform men or boys with regard to attainments in primary and secondary education. For example concerning upper secondary degrees the share of females attaining the Matura approaches two thirds in Switzerland, while the share of females attaining the Baccalaureate exceeds fifty per cent in France. However, if transitions to higher education are regarded, the share of entitled females entering such institutions is significantly lower than among men in Switzerland. An opposite pattern is observed in France where females outperform men at this educational stage, too. With regard to migrant background, it has been shown by previous research focussing on secondary effects of ethnic origin that such youths enter the more demanding educational tracks (e.g. higher education) more often than their non-migrant peers if controlled for eligibility, their lower socioeconomic status and performances. However, so far only a few studies refer to the question of a possible gender gap regarding secondary effects of ethnic origin (e.g. Fleischmann et al., mimeo). Thus, with regard to a possible interaction of a migrant background and - for example - a female gender, it is important to note that in both countries many migrant groups have their origins in countries and regions where male advantage remains very strong. This is in particular the case for migrant groups from non-Western countries, e.g. Turkey, Algeria, Marocco or Tunisie, where gender gaps in the literacy rates of up to 18 per cent are still observed. In order to investigate the question of a possible disadvantages of women with a migrant background stemming from such countries when compared to non-migrant females two panel studies - the Tree data in Switzerland and the Panel d’élèves 1995 in France -, are analysed.

Assessing the Potential of Multiple Imputation in Sequence Analysis

Sequence analysis and optimal matching are useful heuristic tools for the descriptive analysis of heterogeneous individual pathways such as educational careers, job sequences or patterns of family formation. However, to date it remains unclear how to handle the inevitable problems caused by missing values with regard to such analysis. Multiple Imputation (MI) offers a possible solution for this problem but it has not been tested in the context of sequence analysis. Against this background, we contribute to the literature by assessing the potential of MI in the context of sequence analyses using an empirical example. Methodologically, we draw upon the work of Brendan Halpin and extend it to additional types of missing value patterns. Our empirical case is a sequence analysis of panel data with substantial attrition that examines the typical patterns and the persistence of sex segregation in school-to-work transitions in Switzerland. The preliminary results indicate that MI is a valuable methodology for handling missing values due to panel mortality in the context of sequence analysis. MI is especially useful in facilitating a sound interpretation of the resulting sequence types.

Consistent estimation of the fixed effects ordered logit model

The paper considers panel data methods for estimating ordered logit models with individual-specific correlated unobserved heterogeneity. We show that a popular approach is inconsistent, whereas some consistent and efficient estimators are available, including minimum distance and generalized method-of-moment estimators. A Monte Carlo study reveals the good properties of an alternative estimator that has not been considered in econometric applications before, is simple to implement and almost as efficient. An illustrative application based on data from the German Socio-Economic Panel confirms the large negative effect of unemployment on life satisfaction that has been found in the previous literature.

Educational Systems and Gender Segregation in Education: A Three-Country Comparison of Germany, Norway and Canada

How do institutional settings and their embedded policy principles affect gender-typed enrolment in educational programmes? Based on gender-sensitive theories on career choice, we hypothesised that gender segregation in education is higher with a wider range of offers of vocational programmes. By analysing youth survey and panel data, we tested this assumption for Germany, Norway and Canada, three countries whose educational systems represent a different mix of academic, vocational and universalistic education principles. We found that vocational programmes are considerably more gender-segregated than are academic (e.g. university) programmes. Men, more so than women, can avoid gender-typed programmes by passing on to a university education. This in turn means that as long as their secondary school achievement does not allow for a higher education career, they have a higher likelihood of being allocated to male-typed programmes in the vocational education and training (VET) system. In addition, social background and the age at which students have to choose educational offers impact on the transition to gendered educational programmes. Overall, gender segregation in education is highest in Germany and the lowest in Canada. We interpret the differences between these countries with respect to the constellations of educational principles and policies in the respective countries.

Geschlechtsspezifische Berufswünsche und Ausbildungsentscheidungen

Dass es geschlechtstypische Berufe gibt, und dass die Berufsaspirationen und die Wahl der Berufsausbildung nach der Pflichtschulzeit zwischen den Geschlechtern deutlich differieren, ist eine vielfach empirisch belegte Tatsache. Diese geschlechtstypische Segregation bei der Berufswahl und der zum ausgewählten Beruf führenden schulischen und beruflichen Ausbildung wird bei der Erklärung oftmals (pauschal) auf die geschlechtsspezifische Sozialisation und darin vermittelte Geschlechterstereotype zurückgeführt. Im vorliegenden Beitrag werden aus strukturell-individualistischer Sicht Mechanismen der geschlechtstypischen Berufsaspiration und Berufsbildungsentscheidung beschrieben, die theoriegeleitet empirisch aufgedeckt werden sollen. Für die Analysen werden Daten der drei Wellen des DAB-Panels verwendet, die für die Deutschschweiz Informationen von 203 Schulklassen mit rund 3.300 Schülerinnen und Schüler zur Verfügung stellen. Mittels dieser Paneldaten wird für Jugendliche der Deutschschweiz gezeigt, dass der sozioökonomische Status des Elternhauses, das damit einhergehende Motiv des intergenerationalen Statuserhalts sowie der Lebenslaufplanungen wichtige Beiträge zur Erklärung der Segregation der Berufswahl nach Geschlecht liefern. Diese mit dem Sozialstatus des Elternhauses verbundenen Mechanismen sind weitaus einflussreicher als die geschlechtsspezifische Sozialisation.

Qualifikationsnachfrage und Arbeitsmarkteintritt in der Schweiz: Arbeit im erlernten Beruf, Berufswechsel oder Arbeitslosigkeit

Berufsorientierte Bildungssysteme sind auf die Vermittlung von spezialisierten beruflichen Qualifikationen ausgelegt. Werden diese nach Abschluss einer beruflichen Grundbildung auf dem Arbeitsmarkt wenig nachgefragt, riskieren die Absolventen, die erworbenen berufsspezifischen Qualifikationen nicht verwerten zu können. Dies trifft nicht nur zu, wenn Arbeitsmarkteinsteiger arbeitslos werden, sondern auch, wenn sie den Beruf wechseln müssen. Für die drei verschiedenen Optionen des Arbeitsmarkteinstiegs – Arbeit im erlernten Beruf, Berufswechsel und Arbeitslosigkeit – wird erstens untersucht, welche Bedeutung das individuell passende und das fachfremde Stellenangebot hat. Zweitens wird analysiert, wie eine unterschiedlich ausgeprägte Nachfrage nach fachspezifischen Qualifikationen die Bedeutung ausbildungsbezogener und individueller Merkmale für den Berufseinstieg verändert. Die Schweiz mit ihrem berufsorientierten Bildungssystem und berufsfachlich segmentieren Arbeitsmarkt dient als empirische Referenz. Die multinominalen logistischen Regressionsmodelle basieren auf den Daten des Schweizer Jugendpanels PISA2000/TREE. Die Individualdaten von Lehrabgänger werden auf Berufsebene, zeitpunkt- und regionsspezifisch mit dem individuell passenden und fachfremden Stellenangebot verknüpft, das auf den Stelleninseratendaten des Stellenmarktmonitors Schweiz (SMM) beruht. Dank dieser Verknüpfung von Angebot und Nachfrage nach beruflichen Qualifikationen auf der Mikroebene kann zum ersten Mal die grundlegende Bedeutung der Personalnachfrage für den Berufseinstieg nachgewiesen werden.

Cervical soft tissue imaging using a mobile CBCT scanner with a flat panel detector in comparison with corresponding CT and MRI data sets

OBJECTIVE: The aim of this study was to evaluate soft tissue image quality of a mobile cone-beam computed tomography (CBCT) scanner with an integrated flat-panel detector. STUDY DESIGN: Eight fresh human cadavers were used in this study. For evaluation of soft tissue visualization, CBCT data sets and corresponding computed tomography (CT) and magnetic resonance imaging (MRI) data sets were acquired. Evaluation was performed with the help of 10 defined cervical anatomical structures. RESULTS: The statistical analysis of the scoring results of 3 examiners revealed the CBCT images to be of inferior quality regarding the visualization of most of the predefined structures. Visualization without a significant difference was found regarding the demarcation of the vertebral bodies and the pyramidal cartilages, the arteriosclerosis of the carotids (compared with CT), and the laryngeal skeleton (compared with MRI). Regarding arteriosclerosis of the carotids compared with MRI, CBCT proved to be superior. CONCLUSIONS: The integration of a flat-panel detector improves soft tissue visualization using a mobile CBCT scanner.

Hierarchical clustering of flow cytometry data for the study of conventional central chondrosarcoma

We have investigated the use of hierarchical clustering of flow cytometry data to classify samples of conventional central chondrosarcoma, a malignant cartilage forming tumor of uncertain cellular origin, according to similarities with surface marker profiles of several known cell types. Human primary chondrosarcoma cells, articular chondrocytes, mesenchymal stem cells, fibroblasts, and a panel of tumor cell lines from chondrocytic or epithelial origin were clustered based on the expression profile of eleven surface markers. For clustering, eight hierarchical clustering algorithms, three distance metrics, as well as several approaches for data preprocessing, including multivariate outlier detection, logarithmic transformation, and z-score normalization, were systematically evaluated. By selecting clustering approaches shown to give reproducible results for cluster recovery of known cell types, primary conventional central chondrosacoma cells could be grouped in two main clusters with distinctive marker expression signatures: one group clustering together with mesenchymal stem cells (CD49b-high/CD10-low/CD221-high) and a second group clustering close to fibroblasts (CD49b-low/CD10-high/CD221-low). Hierarchical clustering also revealed substantial differences between primary conventional central chondrosarcoma cells and established chondrosarcoma cell lines, with the latter not only segregating apart from primary tumor cells and normal tissue cells, but clustering together with cell lines from epithelial lineage. Our study provides a foundation for the use of hierarchical clustering applied to flow cytometry data as a powerful tool to classify samples according to marker expression patterns, which could lead to uncover new cancer subtypes.

Privacy Panel: Usable and Quantifiable Mobile Privacy

The ever increasing popularity of apps stems from their ability to provide highly customized services to the user. The flip side is that in order to provide such services, apps need access to very sensitive private information about the user. This leads to malicious apps that collect personal user information in the background and exploit it in various ways. Studies have shown that current app vetting processes which are mainly restricted to install time verification mechanisms are incapable of detecting and preventing such attacks. We argue that the missing fundamental aspect here is a comprehensive and usable mobile privacy solution, one that not only protects the user's location information, but also other equally sensitive user data such as the user's contacts and documents. A solution that is usable by the average user who does not understand or care about the low level technical details. To bridge this gap, we propose privacy metrics that quantify low-level app accesses in terms of privacy impact and transforms them to high-level user understandable ratings. We also provide the design and architecture of our Privacy Panel app that represents the computed ratings in a graphical user-friendly format and allows the user to define policies based on them. Finally, experimental results are given to validate the scalability of the proposed solution.

Geocenter coordinates estimated from GNSS data as viewed by perturbation theory

Time series of geocenter coordinates were determined with data of two global navigation satellite systems (GNSSs), namely the U.S. GPS (Global Positioning System) and the Russian GLONASS (Global’naya Nawigatsionnaya Sputnikowaya Sistema). The data was recorded in the years 2008–2011 by a global network of 92 permanently observing GPS/GLONASS receivers. Two types of daily solutions were generated independently for each GNSS, one including the estimation of geocenter coordinates and one without these parameters. A fair agreement for GPS and GLONASS was found in the geocenter x- and y-coordinate series. Our tests, however, clearly reveal artifacts in the z-component determined with the GLONASS data. Large periodic excursions in the GLONASS geocenter z-coordinates of about 40 cm peak-to-peak are related to the maximum elevation angles of the Sun above/below the orbital planes of the satellite system and thus have a period of about 4 months (third of a year). A detailed analysis revealed that the artifacts are almost uniquely governed by the differences of the estimates of direct solar radiation pressure (SRP) in the two solution series (with and without geocenter estimation). A simple formula is derived, describing the relation between the geocenter z-coordinate and the corresponding parameter of the SRP. The effect can be explained by first-order perturbation theory of celestial mechanics. The theory also predicts a heavy impact on the GNSS-derived geocenter if once-per-revolution SRP parameters are estimated in the direction of the satellite’s solar panel axis. Specific experiments using GPS observations revealed that this is indeed the case. Although the main focus of this article is on GNSS, the theory developed is applicable to all satellite observing techniques. We applied the theory to satellite laser ranging (SLR) solutions using LAGEOS. It turns out that the correlation between geocenter and SRP parameters is not a critical issue for the SLR solutions. The reasons are threefold: The direct SRP is about a factor of 30–40 smaller for typical geodetic SLR satellites than for GNSS satellites, allowing it in most cases to not solve for SRP parameters (ruling out the correlation between these parameters and the geocenter coordinates); the orbital arc length of 7 days (which is typically used in SLR analysis) contains more than 50 revolutions of the LAGEOS satellites as compared to about two revolutions of GNSS satellites for the daily arcs used in GNSS analysis; the orbit geometry is not as critical for LAGEOS as for GNSS satellites, because the elevation angle of the Sun w.r.t. the orbital plane is usually significantly changing over 7 days.

Time-Series Panel Analysis (TSPA): Multivariate Modeling of Temporal Associations in Psychotherapy Process.

Objective: Processes occurring in the course of psychotherapy are characterized by the simple fact that they unfold in time and that the multiple factors engaged in change processes vary highly between individuals (idiographic phenomena). Previous research, however, has neglected the temporal perspective by its traditional focus on static phenomena, which were mainly assessed at the group level (nomothetic phenomena). To support a temporal approach, the authors introduce time-series panel analysis (TSPA), a statistical methodology explicitly focusing on the quantification of temporal, session-to-session aspects of change in psychotherapy. TSPA-models are initially built at the level of individuals and are subsequently aggregated at the group level, thus allowing the exploration of prototypical models. Method: TSPA is based on vector auto-regression (VAR), an extension of univariate auto-regression models to multivariate time-series data. The application of TSPA is demonstrated in a sample of 87 outpatient psychotherapy patients who were monitored by postsession questionnaires. Prototypical mechanisms of change were derived from the aggregation of individual multivariate models of psychotherapy process. In a 2nd step, the associations between mechanisms of change (TSPA) and pre- to postsymptom change were explored. Results: TSPA allowed a prototypical process pattern to be identified, where patient's alliance and self-efficacy were linked by a temporal feedback-loop. Furthermore, therapist's stability over time in both mastery and clarification interventions was positively associated with better outcomes. Conclusions: TSPA is a statistical tool that sheds new light on temporal mechanisms of change. Through this approach, clinicians may gain insight into prototypical patterns of change in psychotherapy.