, Laboratoire de Psychologie des Pays de la Loire

, Bien-être & Processus de subjectivation EE t i,1 , . . . , t i,N i et ces unités stratigraphiques vérifieront donc la contrainte d'ordre : ? 1 < . . . < ? I

, Du fait de la contrainte d'ordre, une erreur sur l'âge d'une unité pourra avoir un impact sur l'ensembles des âges (? 1 , ..., ? I ) . Lanos and Philippe (2018) ont appliqué le modèle d'évènement dans ce contexte pour obtenir une estimation robuste de ces âges. Pour gagner en efficacité comme pour la combinaison de dates, Comme précédemment il peut y avoir eu des bouleversements de différentes origines conduisant à des déplacements d'objets vers d'autres unités stratigraphiques

, M'aide à comprendre comment mes objectifs sont liés à ceux de l'entreprise 2. M'aide à comprendre l'importance de mon travail pour l

, M'aide à comprendre de quelle façon mon travail s'inscrit dans la mission d'ensemble de l'entreprise

, Croit en ma capacité de m'améliorer, même lorsque je fais des erreurs

A. Bibliographie-agresti, Multicategory Logit Models, 2006.

M. Ahearne, J. Mathieu, and A. Rapp, To empower or not to empower your sales force ? An empirical examination of the influence of leadership empowerment behavior on customer satisfaction and performance, Journal of Applied Psychology, 2005.

N. J. Allen and J. P. Meyer, The measurement and antecedents of affective, continuance and normative commitment to the organization, Journal of Occupational Psychology, vol.63, pp.1-18, 1990.

R. M. Baron and D. A. Kenny, The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations, Journal of Personality and Social Psychology, vol.51, issue.6, p.1173, 1986.

K. A. Bollen, Structural Equations with Latent Variables. Wiley series in probability and mathematical statistics. Applied probability and statistics section, 1989.

S. R. Briggs and J. M. Cheek, The role of factor analysis in the development and evaluation of personality scales, Journal of Personality, vol.54, pp.106-148, 1986.

C. Bronk-ramsey, Probability and dating, Radiocarbon, vol.40, pp.461-474, 1998.

C. Bronk-ramsey, Dealing with outliers and offsets in radiocarbon dating, Radiocarbon, vol.51, issue.3, pp.1023-1045, 2009.

A. Caillé, N. Courtois, J. Galharret, J. , and C. , Influence du leadership habilitant sur le bien-être au travail et l'engagement organisationnel, 2019.

J. Christen and S. Pérez, A new robust statistical model for radiocarbon data, Radiocarbon, vol.51, issue.3, pp.1047-1059, 2009.

C. Christophe, A. Philippe, G. Guérin, N. Mercier, and P. Guibert, Bayesian approach to OSL dating of poorly bleached sediment samples: Mixture distribution models for dose (MD2), Radiation Measurements, vol.108, pp.59-73, 2018.
URL : https://hal.archives-ouvertes.fr/halshs-01978216

J. Cohen, Statistical Power Analysis for the Behavioral Sciences, 1988.

B. Combès and A. Philippe, Bayesian analysis of individual and systematic multiplicative errors for estimating ages with stratigraphic constraints in optically stimulated luminescence dating, Quaternary Geochronology, pp.24-34, 2017.

L. J. Cronbach, Coefficient alpha and the internal structure of tests, 1951.

M. J. Daniels, J. A. Roy, C. Kim, J. W. Hogan, P. et al., Bayesian inference for the causal effect of mediation, Biometrics, vol.68, issue.4, pp.1028-1036, 2012.

J. S. Dean, Independent dating in archaeological analysis, Advances in Archaeological Method and Theory, vol.1, pp.223-255, 1978.

S. Dench and J. Regan, Learning in later life: Motivation and impact, 2000.

M. R. Elliott, T. E. Raghunathan, L. , and Y. , Bayesian inference for causal mediation effects using principal stratification with dichotomous mediators and outcomes, Biostatistics, vol.11, issue.2, pp.353-372, 2010.

R. Y. Erol and U. Orth, Self-esteem development from age 14 to 30 years: A longitudinal study, Journal of Personality and Social Psychology, p.101, 2011.

F. Fang, L. Martin, N. Mercier, S. Incerti, R. Grün et al., 2d modelling: A Monte Carlo approach for assessing heterogeneous beta dose rates in luminescence and ESR dating: Paper 2, application to igneous rocks, Quaternary Geochronology, vol.48, pp.195-206, 2018.

J. O. Fisher, L. L. Birch, H. Smiciklas-wright, and M. F. Picciano, Breastfeeding through the first year predicts maternal control in feeding and subsequent toddler energy intakes, Journal of the American Dietetic Association, vol.100, issue.6, pp.641-646, 2000.

R. A. Fisher, The Design of Experiments, 1935.

R. F. Galbraith, R. G. Roberts, G. M. Laslett, H. Yoshida, and J. M. Olley, Optical dating of single and multiple grains of quartz from Jinmium rock shelter, Northern Australia: Part i, experimental design and statistical models, Archaeometry, vol.41, issue.2, pp.339-364, 1999.

J. Galharret, A. Philippe, and N. Mercier, Detection of outliers with a Bayesian hierarchical model : application to the single-grain luminescence dating method, 2019.

J. Galharret and A. Philippe, Priors comparison in Bayesian mediation framework with binary outcome, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02070053

J. Galharret, A. Philippe, and P. Rochet, Non-parametric mediation analysis for direct effect with binary outcomes, 2019.

T. A. Garstka, M. T. Schmitt, N. R. Branscombe, and M. L. Hummert, How Young and Older Adults Differ in Their Responses to Perceived Age Discrimination, Psychology and Aging, vol.19, pp.326-335, 2004.

A. Gelman, Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper), Bayesian Anal, vol.1, issue.3, pp.515-534, 2006.

A. Gelman, Scaling regression inputs by dividing by two standard deviations, Statistics in Medicine, vol.27, issue.15, pp.2865-2873, 2008.

A. Gelman, A. Jakulin, M. G. Pittau, and Y. Su, A weakly informative default prior distribution for logistic and other regression models, The Annals of Applied Statistics, vol.2, 2007.

M. Ghosh, N. Mukhopadhyay, and P. Sen, Sequential estimation. Wiley series in probability and statistics: Probability and statistics, 1997.

M. Gilbert, V. Dagenais-desmarais, and A. Savoie, Validation d'une mesure de santé psychologique au travail, European Review of Applied Psychology, vol.61, issue.4, pp.195-203, 2011.

P. Guimard, F. Bacro, S. Ferrière, and A. Florin, Le bien-être des élèves à l'école et au collège : Validation d'une échelle multidimensionnelle, analyses descriptives et différentielles. Éducation et Formations, pp.88-89, 2015.

P. Gustafson, S. Hossain, and Y. C. Macnab, Conservative prior distributions for variance parameters in hierarchical models, The Canadian Journal of Statistics / La Revue Canadienne de Statistique, vol.34, issue.3, pp.377-390, 2006.

T. E. Hanson, A. J. Branscum, J. , and W. O. , Informative g -priors for logistic regression, Bayesian Anal, vol.9, issue.3, pp.597-612, 2014.

J. Harrell and F. E. , Regression Modeling Strategies, 2006.

W. W. Hauck and S. Anderson, A new statistical procedure for testing equivalence in two-group comparative bioavailability trials, Journal of Pharmacokinetics and Biopharmaceutics, vol.12, issue.1, pp.83-91, 1984.

W. W. Hauck and A. Donner, Wald's test as applied to hypotheses in logit analysis, Journal of the American Statistical Association, vol.72, issue.360a, pp.851-853, 1977.

A. Hayes, Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach, Methodology in the Social Sciences Series, 2018.

A. F. Hayes, A. K. Montoya, and N. J. Rockwood, The analysis of mechanisms and their contingencies: PROCESS versus structural equation modeling, Australasian Marketing Journal (AMJ), vol.25, issue.1, pp.76-81, 2017.

A. F. Hayes and K. J. Preacher, Statistical mediation analysis with a multicategorical independent variable, British Journal of Mathematical and Statistical Psychology, vol.67, issue.3, pp.451-470, 2014.

K. Imai and L. Keele, A general approach to causal mediation analysis, Psychological Methods, vol.15, issue.4, pp.309-334, 2010.

K. Imai, L. Keele, D. Tingley, and T. Yamamoto, Causal mediation analysis using r, Advances in Social Science Research Using R, 2010.

K. Imai, L. Keele, and T. Yamamoto, Identification, inference and sensitivity analysis for causal mediation effects, Statist. Sci, vol.25, issue.1, pp.51-71, 2010.

H. Jeffreys, Theory of Probbility, 1961.

C. M. Judd, D. A. Kenny, and G. H. Mcclelland, Estimating and testing mediation and moderation in within-subject designs, Psychological Methods, p.6, 2001.

K. Kamary, K. Mengersen, C. P. Robert, and J. Rousseau, Testing hypotheses via a mixture estimation model, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01517681

E. C. Karademas, Self-efficacy, social support and well-being: The mediating role of optimism, Personality and Individual Differences, vol.40, issue.6, pp.1281-1290, 2006.

R. E. Kass and A. E. Raftery, Bayes factors, Journal of the American Statistical Association, vol.90, issue.430, pp.773-795, 1995.

D. A. Kenny, D. A. Kashy, and N. Bolger, Data analysis in social psychology, pp.233-265, 1998.

D. A. Kenny, J. D. Korchmaros, and N. Bolger, Lower level mediation in multilevel models, Psychological Methods, vol.8, 2003.

C. Kim, M. J. Daniels, B. H. Marcus, and J. A. Roy, A framework for Bayesian nonparametric inference for causal effects of mediation, Biometrics, vol.73, issue.2, pp.401-409, 2017.

O. Kiviruusu, T. Huurre, H. Aro, M. Marttunen, and A. Haukkala, Self-esteem growth trajectory from adolescence to mid-adulthood and its predictors in adolescence, Advances in Life Course Research, p.23, 2015.

R. Kline, Principles and Practice of Structural Equation Modeling. Methodology in the social sciences, 2011.

J. L. Krull and D. P. Mackinnon, Multilevel mediation modeling in group-based intervention studies, Evaluation Review, p.23, 1999.

P. Lanos and A. Philippe, Hierarchical Bayesian modeling for combining dates in archaeological context, Journal de la Société Française de Statistique, vol.158, pp.72-88, 2017.
URL : https://hal.archives-ouvertes.fr/insu-01451371

P. Lanos and A. Philippe, Event date model: a robust Bayesian tool for chronology building, Communications for Statistical Applications and Methods, vol.25, issue.2, pp.131-157, 2018.
URL : https://hal.archives-ouvertes.fr/insu-01769448

T. Launay, A. Philippe, and S. Lamarche, Construction of an informative hierarchical prior for a small sample with the help of historical data and application to electricity load forecasting, TEST, vol.24, issue.2, pp.361-385, 2015.
URL : https://hal.archives-ouvertes.fr/hal-00625117

D. P. Mackinnon, Introduction to Statistical Mediation Analysis, 2008.

D. P. Mackinnon, C. M. Lockwood, J. M. Hoffman, S. G. West, and V. Sheets, A comparison of methods to test mediation and other intervening variable effects, Psychological Methods, p.7, 2002.

D. P. Mackinnon, C. M. Lockwood, W. , and J. , Confidence limits for the indirect effect: Distribution of the product and resampling methods, Multivariate Behavioral Research, p.39, 2004.

P. Mair, Modern Psychometrics with R. Use R, 2018.

J. Marin and C. Robert, Bayesian essentials with R. Springer Textbooks in Statistics, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01337395

L. Martin, F. Fang, N. Mercier, S. Incerti, R. Grün et al., 2d modelling: A Monte Carlo approach for assessing heterogeneous beta dose rate in luminescence and ESR dating: Paper 1, theory and verification, Quaternary Geochronology, vol.48, pp.25-37, 2018.

J. Masson and F. Fenouillet, Relation entre sentiment d'efficacité personnelle et résultats scolaires à l'école primaire : Construction et validation d'une échelle, Enfance, vol.4, issue.4, pp.374-392, 2013.

J. P. Meyer, N. J. Allen, and C. A. Smith, Commitment to organizations and occupations : Extension and test of a three-component conceptualization, Journal of Applied Psychology, vol.78, issue.4, pp.538-551, 1993.

M. Mio?evi?, O. Gonzalez, M. J. Valente, and D. P. Mackinnon, A tutorial in Bayesian potential outcomes mediation analysis, Structural Equation Modeling: A Multidisciplinary Journal, vol.25, issue.1, pp.121-136, 2018.

A. Ndobo, A. Faure, and J. Galharret, The coping strategies of individuals in multiple jeopardy settings : The case of older workers and job-seekers, 2019.

J. S. Neyman, Statistical Problems in Agricultural Experimentation (with Discussion), Journal of the Royal Statistical Society, Series B, 1935.

M. B. Nuijten, R. Wetzels, D. Matzke, C. V. Dolan, and E. M. Wagenmakers, A default Bayesian hypothesis test for mediation, Behavior Research Methods, vol.47, pp.85-97, 2015.

S. Park and D. L. Kaplan, Bayesian causal mediation analysis for group randomized designs with homogeneous and heterogeneous effects: Simulation and case study, Multivariate behavioral research, vol.50, pp.316-349, 2015.

J. Pearl, Direct and indirect effects, Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence, UAI'01, pp.411-420, 2001.

J. Pearl, M. Glymour, J. , and N. , Causal Inference in Statistics: A Primer, 2016.

J. Pearl and D. Mackenzie, The Book of Why : The New Science of Cause and Effect, 2018.

M. L. Petersen, S. E. Sinisi, and M. J. Van-der-laan, Estimation of direct causal effects, Epidemiology, p.17, 2006.

W. Petersen, Society and the Adolescent Self-Image, vol.326, p.148, 1965.

L. Price, Psychometric Methods : Theory into Practice, 2016.

. R-core-team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2016.

. R-core-team, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, 2017.

T. Redman and E. Snape, The consequences of perceived age discrimination amongst older police officers: Is social support a buffer ?, British Journal of Management, vol.17, issue.2, pp.167-175, 2006.

J. M. Robins, Semantics of causal DAG models and the identification of direct and indirect effects, Highly Structured Stochastic Systems. Oxford Statistical Science Series (0-19-961199-8) Series, 2003.

J. M. Robins and S. Greenland, Identifiability and exchangeability for direct and indirect effects, Epidemiology, p.3, 1992.

D. B. Rubin, Estimating causal effects of treatments in randomized and nonrandomized studies, Journal of Educational Psychology, vol.66, pp.688-701, 1974.

S. Salini and R. S. Kenett, Standards and Classical Techniques in Data Analysis of Customer Satisfaction Surveys, 2011.

T. Schmader and M. Johns, Converging evidence that stereotype threat reduces working memory capacity, Journal of personality and social psychology, vol.85, issue.3, pp.440-452, 2003.

D. J. Schuirmann, A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability, Journal of Pharmacokinetics and Biopharmaceutics, vol.15, issue.6, pp.657-680, 1987.

R. D. Shah and J. Peters, The hardness of conditional independence testing and the generalised covariance measure, 2018.

P. E. Shrout and N. Bolger, Mediation in experimental and nonexperimental studies : New procedures and recommendations, Psychological Methods, p.7, 2002.

M. E. Sobel, Asymptotic confidence intervals for indirect effects in structural equation models, Sociological Methodology, p.13, 1982.

D. J. Spiegelhalter, K. R. Abrams, and J. P. Myles, BAyesian Approaches to Clinical Trials and Health-Care Evaluation, 2004.

S. Development-team, RStan : the R interface to Stan, 2018.

S. Development-team, RStan: the R interface to Stan, 2018.

J. Steen, T. Loeys, B. Moerkerke, and S. Vansteelandt, medflex: An R package for flexible mediation analysis using natural effect models, Journal of Statistical Software, vol.76, issue.11, pp.1-46, 2017.

M. Tessoulin, J. Galharret, A. Gilet, and F. Colombel, Misinformation Effect in Aging: A New Light with Equivalence Testing, The Journals of Gerontology: Series B, 2019.

D. Tingley, T. Yamamoto, K. Hirose, L. Keele, and K. Imai, mediation: R package for causal mediation analysis, Journal of Statistical Software, issue.5, pp.1-38, 2014.

S. T. Tong, B. Van-der-heide, L. Langwell, W. , and J. B. , Too Much of a Good Thing ? The Relationship between Number of Friends and Interpersonal Impressions on Facebook, Journal of Computer-Mediated Communication, vol.13, issue.3, pp.531-549, 2008.

T. Vanderweele, Explanation in Causal Inference: Methods for Mediation and Interaction, 2015.

J. Wallinga, Optically stimulated luminescence dating of fluvial deposits: a review, Boreas, pp.303-322, 2002.

L. Wasserman, A Concise Course in Statistical Inference, 2004.

B. Wieder and M. Ossimitz, The impact of business intelligence on the quality of decision making -a mediation model, Procedia Computer Science, vol.64, pp.1163-1171, 2015.

S. Wood, Generalized additive models: an introduction with R. Texts in Statistical Science, 2006.

Y. Yuan and D. P. Mackinnon, Bayesian mediation analysis, Psychological Methods, p.14, 2009.

A. Zellner, An Introduction to Bayesian Inference in Econometrics. A Wiley-Interscience publication, 1971.