Job satisfaction and life satisfaction: Analysis of a reciprocal model with social demographic moderators

The general objective of the study was to empirically test a reciprocal model of job satisfaction and life satisfaction while controlling for some social demographic variables. 827 employees working in 34 car dealerships in Northern Quebec (56% responses rate) were surveyed. The multiple item questionnaires were analysed using correlation analysis, chi square and ANOVAs. Results show interesting patterns emerging for the relationships between job and life satisfaction of which 49.2% of all individuals have spillover, 43.5% compensation, and 7.3% segmentation type of relationships. Results, nonetheless, are far richer and the model becomes much more refined when social demographic indicators are taken into account. Globally, social demographic variables demonstrate some effects on each satisfaction individually but also on the interrelation (nature of the relations) between life and work satisfaction.

Ratio maps and correspondence analysis

We compare two methods for visualising contingency tables and developa method called the ratio map which combines the good properties of both.The first is a biplot based on the logratio approach to compositional dataanalysis. This approach is founded on the principle of subcompositionalcoherence, which assures that results are invariant to considering subsetsof the composition. The second approach, correspondence analysis, isbased on the chi-square approach to contingency table analysis. Acornerstone of correspondence analysis is the principle of distributionalequivalence, which assures invariance in the results when rows or columnswith identical conditional proportions are merged. Both methods may bedescribed as singular value decompositions of appropriately transformedmatrices. Correspondence analysis includes a weighting of the rows andcolumns proportional to the margins of the table. If this idea of row andcolumn weights is introduced into the logratio biplot, we obtain a methodwhich obeys both principles of subcompositional coherence and distributionalequivalence.

Transition probabilities and duration analysis among disability states: Some evidence from Spanish data

In this paper we study the disability transition probabilities (as well as the mortalityprobabilities) due to concurrent factors to age such as income, gender and education. Althoughit is well known that ageing and socioeconomic status influence the probability ofcausing functional disorders, surprisingly little attention has been paid to the combined effectof those factors along the individuals' life and how this affects the transition from one degreeof disability to another. The assumption that tomorrow's disability state is only a functionof the today's state is very strong, since disability is a complex variable that depends onseveral other elements than time. This paper contributes into the field in two ways: (1) byattending the distinction between the initial disability level and the process that leads tohis course (2) by addressing whether and how education, age and income differentially affectthe disability transitions. Using a Markov chain discrete model and a survival analysis, weestimate the probability by year and individual characteristics that changes the state of disabilityand the duration that it takes its progression in each case. We find that people withan initial state of disability have a higher propensity to change and take less time to transitfrom different stages. Men do that more frequently than women. Education and incomehave negative effects on transition. Moreover, we consider the disability benefits associatedto those changes along different stages of disability and therefore we offer some clues onthe potential savings of preventive actions that may delay or avoid those transitions. Onpure cost considerations, preventive programs for improvement show higher benefits thanthose for preventing deterioration, and in general terms, those focussing individuals below65 should go first. Finally the trend of disability in Spain seems not to change among yearsand regional differences are not found.

The contributions of rare objects in correspondence analysis

Correspondence analysis, when used to visualize relationships in a table of counts(for example, abundance data in ecology), has been frequently criticized as being too sensitiveto objects (for example, species) that occur with very low frequency or in very few samples. Inthis statistical report we show that this criticism is generally unfounded. We demonstrate this inseveral data sets by calculating the actual contributions of rare objects to the results ofcorrespondence analysis and canonical correspondence analysis, both to the determination ofthe principal axes and to the chi-square distance. It is a fact that rare objects are oftenpositioned as outliers in correspondence analysis maps, which gives the impression that theyare highly influential, but their low weight offsets their distant positions and reduces their effecton the results. An alternative scaling of the correspondence analysis solution, the contributionbiplot, is proposed as a way of mapping the results in order to avoid the problem of outlying andlow contributing rare objects.

Selective hiring and welfare analysis in labor market models

Firms select not only how many, but also which workers to hire. Yet, in standardsearch models of the labor market, all workers have the same probability of being hired.We argue that selective hiring crucially affects welfare analysis. Our model is isomorphicto a search model under random hiring but allows for selective hiring. With selectivehiring, the positive predictions of the model change very little, but the welfare costsof unemployment are much larger because unemployment risk is distributed unequallyacross workers. As a result, optimal unemployment insurance may be higher and welfareis lower if hiring is selective.

Asymptotic robustness in multi-sample analysis of multivariate linear relations

Standard methods for the analysis of linear latent variable models oftenrely on the assumption that the vector of observed variables is normallydistributed. This normality assumption (NA) plays a crucial role inassessingoptimality of estimates, in computing standard errors, and in designinganasymptotic chi-square goodness-of-fit test. The asymptotic validity of NAinferences when the data deviates from normality has been calledasymptoticrobustness. In the present paper we extend previous work on asymptoticrobustnessto a general context of multi-sample analysis of linear latent variablemodels,with a latent component of the model allowed to be fixed across(hypothetical)sample replications, and with the asymptotic covariance matrix of thesamplemoments not necessarily finite. We will show that, under certainconditions,the matrix $\Gamma$ of asymptotic variances of the analyzed samplemomentscan be substituted by a matrix $\Omega$ that is a function only of thecross-product moments of the observed variables. The main advantage of thisis thatinferences based on $\Omega$ are readily available in standard softwareforcovariance structure analysis, and do not require to compute samplefourth-order moments. An illustration with simulated data in the context ofregressionwith errors in variables will be presented.

Analysis of secondary growth in the Arabidopsis shoot reveals a positive role of jasmonate signalling in cambium formation.

After primary growth, most dicotyledonous plants undergo secondary growth. Secondary growth involves an increase in the diameter of shoots and roots through formation of secondary vascular tissue. A hallmark of secondary growth initiation in shoots of dicotyledonous plants is the initiation of meristematic activity between primary vascular bundles, i.e. in the interfascicular regions. This results in establishment of a cylindrical meristem, namely the vascular cambium. Surprisingly, despite its major implications for plant growth and the accumulation of biomass, the molecular regulation of secondary growth is only poorly understood. Here, we combine histological, molecular and genetic approaches to characterize interfascicular cambium initiation in the Arabidopsis thaliana inflorescence shoot. Using genome-wide transcriptional profiling, we show that stress-related and touch-inducible genes are up-regulated in stem regions where secondary growth takes place. Furthermore, we show that the products of COI1, MYC2, JAZ7 and the touch-inducible gene JAZ10, which are components of the JA signalling pathway, are cambium regulators. The positive effect of JA application on cambium activity confirmed a stimulatory role of JA in secondary growth, and suggests that JA signalling triggers cell divisions in this particular context.

Analysis of CD4+ and CD8+ T cells by defined MHC-peptide complexes

MHC class II-peptide multimers are important tools for the detection, enumeration and isolation of antigen-specific CD4+ Τ cells. However, their erratic and often poor performance impeded their broad application and thus in-depth analysis of key aspects of antigen-specific CD4+ Τ cell responses. In the first part of this thesis we demonstrate that a major cause for poor MHC class II tetramer staining performance is incomplete peptide loading on MHC molecules. We observed that peptide binding affinity for "empty" MHC class II molecules poorly correlates with peptide loading efficacy. Addition of a His-tag or desthiobiotin (DTB) at the peptide N-terminus allowed us to isolate "immunopure" MHC class II-peptide monomers by affinity chromatography; this significantly, often dramatically, improved tetramer staining of antigen-specific CD4+ Τ cells. Insertion of a photosensitive amino acid between the tag and the peptide, permitted removal of the tag from "immunopure" MHC class II-peptide complex by UV irradiation, and hence elimination of its potential interference with TCR and/or MHC binding. Moreover, to improve loading of self and tumor antigen- derived peptides onto "empty" MHC II molecules, we first loaded these with a photocleavable variant of the influenza A hemagglutinin peptide HA306-318 and subsequently exchanged it with a poorly loading peptide (e.g. NY-ESO-1119-143) upon photolysis of the conditional ligand. Finally, we established a novel type of MHC class II multimers built on reversible chelate formation between 2xHis-tagged MHC molecules and a fluorescent nitrilotriacetic acid (NTA)-containing scaffold. Staining of antigen-specific CD4+ Τ cells with "NTAmers" is fully reversible and allows gentle cell sorting. In the second part of the thesis we investigated the role of the CD8α transmembrane domain (TMD) for CD8 coreceptor function. The sequence of the CD8α TMD, but not the CD8β TMD, is highly conserved and homodimerizes efficiently. We replaced the CD8α TMD with the one of the interleukin-2 receptor a chain (CD8αTac) and thus ablated CD8α TMD interactions. We observed that ΤΙ Τ cell hybridomas expressing CD8αTacβ exhibited severely impaired intracellular calcium flux, IL-2 responses and Kd/PbCS(ABA) P255A tetramer binding. By means of fluorescence resonance energy transfer experiments (FRET) we established that CD8αTacβ associated with TCR:CD3 considerably less efficiently than CD8αβ, both in the presence and the absence of Kd/PbCS(ABA) complexes. Moreover, we observed that CD8αTacβ partitioned substantially less in lipid rafts, and related to this, associated less efficiently with p56Lck (Lck), a Src kinase that plays key roles in TCR proximal signaling. Our results support the view that the CD8α TMD promotes the formation of CD8αβP-CD8αβ dimers on cell surfaces. Because these contain two CD8β chains and that CD8β, unlike CD8α, mediates association of CD8 with TCR:CD3 as well as with lipid rafts and hence with Lck, we propose that the CD8αTMD plays an important and hitherto unrecognized role for CD8 coreceptor function, namely by promoting CD8αβ dimer formation. We discuss what implications this might have on TCR oligomerization and TCR signaling. - Les multimères de complexes MHC classe II-peptide sont des outils importants pour la détection, le dénombrement et l'isolation des cellules Τ CD4+ spécifiques pour un antigène d'intérêt. Cependant, leur performance erratique et souvent inadéquate a empêché leur utilisation généralisée, limitant ainsi l'analyse des aspects clés des réponses des lymphocytes Τ CD4+. Dans la première partie de cette thèse, nous montrons que la cause principale de la faible efficacité des multimères de complexes MHC classe II-peptide est le chargement incomplet des molécules MHC par des peptides. Nous montrons également que l'affinité du peptide pour la molécule MHC classe II "vide" n'est pas nécessairement liée au degré du chargement. Grâce à l'introduction d'une étiquette d'histidines (His-tag) ou d'une molécule de desthiobiotine à l'extrémité N-terminale du peptide, des monomères MHC classe II- peptide dits "immunopures" ont pu être isolés par chromatographic d'affinité. Ceci a permis d'améliorer significativement et souvent de façon spectaculaire, le marquage des cellules Τ CD4+ spécifiques pour un antigène d'intérêt. L'insertion d'un acide aminé photosensible entre l'étiquette et le peptide a permis la suppression de l'étiquette du complexe MHC classe- Il peptide "immunopure" par irradiation aux UV, éliminant ainsi de potentielles interférences de liaison au TCR et/ou au MHC. De plus, afin d'améliorer le chargement des molécules MHC classe II "vides" avec des peptides dérivés d'auto-antigènes ou d'antigènes tumoraux, nous avons tout d'abord chargé les molécules MHC "vides" avec un analogue peptidique photoclivable issu du peptide HA306-318 de l'hémagglutinine de la grippe de type A, puis, sous condition de photolyse, nous l'avons échangé avec de peptides à chargement faible (p.ex. NY-ESO-1119-143). Finalement, nous avons construit un nouveau type de multimère réversible, appelé "NTAmère", basé sur la formation chélatante reversible entre les molécules MHC-peptide étiquettés par 2xHis et un support fluorescent contenant des acides nitrilotriacetiques (NTA). Le marquage des cellules Τ CD4+ spécifiques pour un antigène d'intérêt avec les "NTAmères" est pleinement réversible et permet également un tri cellulaire plus doux. Dans la deuxième partie de cette thèse nous avons étudié le rôle du domaine transmembranaire (TMD) du CD8α pour la fonction coréceptrice du CD8. La séquence du TMD du CD8α, mais pas celle du TMD du CD8β, est hautement conservée et permet une homodimérisation efficace. Nous avons remplacé le TMD du CD8α avec celui de la chaîne α du récepteur à l'IL-2 (CD8αTac), éliminant ainsi les interactions du TMD du CD8α. Nous avons montré que les cellules des hybridomes Τ T1 exprimant le CD8αTacβ présentaient une atteinte sévère du flux du calcium intracellulaire, des réponses d'IL-2 et de la liaison des tétramères Kd/PbCS(ABA) P255A. Grâce aux expériences de transfert d'énergie entre molécules fluorescentes (FRET), nous avons montré que l'association du CD8αTacβ avec le TCR:CD3 est considérablement moins efficace qu'avec le CD8αβ, et ceci aussi bien en présence qu'en absence de complexes Kd/PbCS(ABA). De plus, nous avons observé que le CD8αTacβ se distribuait beaucoup moins bien dans les radeaux lipidiques, engendrant ainsi, une association moins efficace avec p56Lck (Lck), une kinase de la famille Src qui joue un rôle clé dans la signalisation proximale du TCR. Nos résultats soutiennent l'hypothèse que le TMD du CD8αβ favorise la formation des dimères de CD8αβ à la surface des cellules. Parce que ces derniers contiennent deux chaînes CD8β et que CD8β, contrairement à CD8α, favorise l'association du CD8 au TCR:CD3 aussi bien qu'aux radeaux lipidiques et par conséquent à Lck, nous proposons que le TMD du CD8α joue un rôle important, jusqu'alors inconnu, pour la fonction coreceptrice du CD8, en encourageant la formation des dimères CD8αβ. Nous discutons des implications possibles sur l'oligomerisation du TCR et la signalisation du TCR.

Association between variants of the leptin receptor gene (LEPR) and overweight: a systematic review and an analysis of the CoLaus study.

BACKGROUND: Three non-synonymous single nucleotide polymorphisms (Q223R, K109R and K656N) of the leptin receptor gene (LEPR) have been tested for association with obesity-related outcomes in multiple studies, showing inconclusive results. We performed a systematic review and meta-analysis on the association of the three LEPR variants with BMI. In addition, we analysed 15 SNPs within the LEPR gene in the CoLaus study, assessing the interaction of the variants with sex. METHODOLOGY/PRINCIPAL FINDINGS: We searched electronic databases, including population-based studies that investigated the association between LEPR variants Q223R, K109R and K656N and obesity- related phenotypes in healthy, unrelated subjects. We furthermore performed meta-analyses of the genotype and allele frequencies in case-control studies. Results were stratified by SNP and by potential effect modifiers. CoLaus data were analysed by logistic and linear regressions and tested for interaction with sex. The meta-analysis of published data did not show an overall association between any of the tested LEPR variants and overweight. However, the choice of a BMI cut-off value to distinguish cases from controls was crucial to explain heterogeneity in Q223R. Differences in allele frequencies across ethnic groups are compatible with natural selection of derived alleles in Q223R and K109R and of the ancient allele in K656N in Asians. In CoLaus, the rs10128072, rs3790438 and rs3790437 variants showed interaction with sex for their association with overweight, waist circumference and fat mass in linear regressions. CONCLUSIONS: Our systematic review and analysis of primary data from the CoLaus study did not show an overall association between LEPR SNPs and overweight. Most studies were underpowered to detect small effect sizes. A potential effect modification by sex, population stratification, as well as the role of natural selection should be addressed in future genetic association studies.

Asymptotic robust inferences in the analysis of mean and covariance structures

Structural equation models are widely used in economic, socialand behavioral studies to analyze linear interrelationships amongvariables, some of which may be unobservable or subject to measurementerror. Alternative estimation methods that exploit different distributionalassumptions are now available. The present paper deals with issues ofasymptotic statistical inferences, such as the evaluation of standarderrors of estimates and chi--square goodness--of--fit statistics,in the general context of mean and covariance structures. The emphasisis on drawing correct statistical inferences regardless of thedistribution of the data and the method of estimation employed. A(distribution--free) consistent estimate of $\Gamma$, the matrix ofasymptotic variances of the vector of sample second--order moments,will be used to compute robust standard errors and a robust chi--squaregoodness--of--fit squares. Simple modifications of the usual estimateof $\Gamma$ will also permit correct inferences in the case of multi--stage complex samples. We will also discuss the conditions under which,regardless of the distribution of the data, one can rely on the usual(non--robust) inferential statistics. Finally, a multivariate regressionmodel with errors--in--variables will be used to illustrate, by meansof simulated data, various theoretical aspects of the paper.

Multi-sample analysis of moment-structures: Asymptotic validity of inferences based on second-order moments

In moment structure analysis with nonnormal data, asymptotic valid inferences require the computation of a consistent (under general distributional assumptions) estimate of the matrix $\Gamma$ of asymptotic variances of sample second--order moments. Such a consistent estimate involves the fourth--order sample moments of the data. In practice, the use of fourth--order moments leads to computational burden and lack of robustness against small samples. In this paper we show that, under certain assumptions, correct asymptotic inferences can be attained when $\Gamma$ is replaced by a matrix $\Omega$ that involves only the second--order moments of the data. The present paper extends to the context of multi--sample analysis of second--order moment structures, results derived in the context of (simple--sample) covariance structure analysis (Satorra and Bentler, 1990). The results apply to a variety of estimation methods and general type of statistics. An example involving a test of equality of means under covariance restrictions illustrates theoretical aspects of the paper.