Lunedì e venerdì ore 10.00-11.00 presso il Dipartimento di Statistica, Informatica, Applicazioni "Giuseppe Parenti" in Viale Morgagni, 59 (primo piano, stanza 7), durante il periodo di svolgimento delle lezioni
oppure
su appuntamento scrivendo a: silvia.bacci@unifi.it
Posizione professionale
. Dal 1 aprile 2020: Professore associato per il settore SECS-S/01 (Statistica)
. Dal 1 ottobre 2009 al 31 marzo 2020: Ricercatore universitario a tempo indeterminato per il settore SECS-S/01 (Statistica)
. Dal 12 novembre 2020: Abilitata a ricoprire il ruolo di Professore Universitario di I fascia per il settore concorsuale 13-D1 (Statistica)
. Dal 13 novembre 2020: Abilitata a ricoprire il ruolo di Professore Universitario di I fascia per il settore concorsuale 13-D3 (Demografia e Statistica sociale)
Titoli di studio
. marzo 2007: Titolo di Dottore di Ricerca in Statistica Applicata
. aprile 2002: Laurea in Economia Aziendale (110/110 e lode)
. a.s. 1996-1997: Diploma di maturità scientifica (60/60)
Affiliazione a società scientifiche
Socia ordinaria della Società Italiana di Statistica - SIS (dall'anno 2012)
Socia ordinaria della Psychometric Society (dall'anno 2021)
Socia ordinaria della Applied Statistical Association (ASA)
Affiliazione a società scientifiche:
Dal 2021
Socia ordinaria della Psychometric Society
Socia della Associazione per la Statistica Applicata
Dal 2012
Socia ordinaria della Società Italiana di Statistica (SIS)
Pubblicazioni:
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Monografie
- Bacci S., Chiandotto B. (2019), Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis, Chapman & Hall, CRC Press, Boca Raton (FL), ISBN: 9781138083561.
Book Review: Calderazzo, S. (2020), Biometrical Journal, book review, DOI: 10.1002/bimj.202000229;
- Bartolucci F., Bacci S., Gnaldi M. (2016), Statistical analysis of questionnaires: a unified approach based on R and Stata. Chapman & Hall, CRC Press, Boca Raton (FL), ISBN: 9781466568495.
Book reviews: 1) Lalanne, C. (2017), Journal of Statistical Software, vol. 82, book review 1; 2) Khojasteh, J. (2019), Structural Equation Modeling: a Multidisciplinary Journal, vol. 26, 986–987.
Articoli su riviste internazionali con IF
- Gnaldi M., Bacci S., Kunze T., Greiff S. (2020), Students’ Complex Problem Solving Profiles, Psychometrika, 85, 469–501, DOI: 10.1007/s11336-020-09709-2
- Bertaccini B., Bacci S., Petrucci A. (2020), A graduates’ satisfaction index for the evaluation of the university overall quality, Socio-Economic Planning Sciences, DOI: 10.1016/j.seps.2020.100875.
- Bacci S., Bertaccini B. (2020), Assessment of the university reputation through the analysis of the student mobility, Social Indicators Research, DOI: 10.1007/s11205-020-02322-x.
- Bacci S., Bertaccini B., Petrucci A. (2020), Beliefs and needs of academic teachers: a latent class analysis, Statistical Methods and Applications, 29(3), 597–617, DOI: 10.1007/s10260- 019-00495-5.
- Bacci S., Bartolucci F., Bettin G., Pigini C. (2019), A latent class growth model for migran- ts’ remittances: An application to the German Socio-Economic Panel, The Journal of the Royal Statistical Society, Series A, DOI: 10.1111/rssa.12475.
- Bacci S., Bartolucci F., Pandolfi S. (2018). A joint model for longitudinal and survival data based on an AR(1) latent process, Statistical Methods in Medical Research, 27(5), 1285–1311.
- Bartolucci F., Bacci S., Mira A. (2018). On the role of latent variable models in the era of big data, DOI: 10.1016/j.spl.2018.02.023, Statistics and Probability Letters, ISSN: 0167-7152.
- Bacci S., Bartolucci F., Grilli L., Rampichini C. (2017). Evaluation of student performance through a multidimensional finite mixture IRT model, Multivariate Behavioral Research, 52(6), 732–746, ISSN: 0027-3171 (print), 1532-7906 (online).
- Bacci S., Cirillo A., Mussolino D., Terzani S. (2017). The influence of family owner- ship dispersion on debt level in privately held firms, Small Business Economics, DOI: 10.1007/s11187-017-9930-2, ISSN: 1573-0913.
- Bacci S., Pigini C., Seracini, M., Minelli, L. (2017). Employment Condition, Economic Deprivation and Self-Evaluated Health in Europe: Evidence from EU-SILC 2009-2012, International Journal of Environmental Research and Public Health, 14(2), 143, DOI: 10.3390/ijerph14020143, ISSN: 1660-4601.
- Bacci S., Bartolucci F. (2016). Two-tier latent class IRT models in R, The R Journal, 8, 139–166, ISSN: 2073-4859.
- Fabiani R., Minelli L., Bertarelli G., Bacci S. (2016). A western dietary pattern increases prostate cancer risk: a systematic review and meta-analysis, Nutrients, 8(10), 626–641, ISSN: 2072-6643.
- Gnaldi M., Bacci S. (2016). Joint assessment of the latent trait dimensionality and ob- served differential item functioning of students’ national tests, Quality & Quantity, 50, 1429–1447, ISSN: 0033-5177.
- Gnaldi M., Bacci S., Bartolucci F. (2016). A multilevel finite mixture item response model to cluster examinees and schools, Advances in Data Analysis and Classification, 10, 53-70, ISSN: 1862-5347.
- Bacci S., Bartolucci F. (2015). A multidimensional finite mixture structural equation mo- del for nonignorable missing responses to test items, Structural Equation Modeling, 22(3), 352-365, ISSN: 1070-5511.
- Bacci S., Gnaldi M. (2015). A classification of university courses based on students’ sati- sfaction: an application of a two-level mixture item response model, Quality & Quantity, 49(3), 927-940, ISSN: 0033-5177.
- Borsci S., Federici S., Bacci S., Gnaldi M., Bartolucci F. (2015). Assessing user satisfaction in the era of user experience: comparison of the SUS, UMUX and UMUX-LITE as a function of product experience, International Journal of Human-Computer Interaction, 31(8), 484-495, ISSN: 1044-7318.
- Gallé F., Di Onofrio V., Arpesella M., Bacci S. et al. (2015). The role and working conditions of Movement Science students employed in sport and recreational facilities: An Italian multicenter study, Work, 52, 385-392, ISSN: 1051-9815.
- Bacci S., Bartolucci F. (2014). Mixtures of equispaced normal distributions and their use for testing symmetry in univariate data, Computational Statistics and Data Analysis, 71, 262–272, ISSN: 0167-9473.
- Bacci S., Bartolucci F., Gnaldi M. (2014). A class of multidimensional latent class IRT models for ordinal polytomous item responses, Communications in Statistics - Theory and Methods, 43, 787–800, ISSN: 0361-0926.
- Bacci S., Pandolfi S., Pennoni F. (2014). A comparison of some criteria for states selec- tion in the latent Markov model for longitudinal data, Advances in Data Analysis and Classification, 8, 125-145, ISSN: 1862-5347.
- Bacci S., Bartolucci F., Chiavarini M., Minelli L., Pieroni L. (2014). Differences in birthweight outcomes: A longitudinal study based on siblings, International Journal of Environmental Research and Public Health, 11, 6472–6484, ISSN: 1660-4601.
- Bartolucci F., Bacci S., Gnaldi M. (2014). MultiLCIRT: An R package for multidimen- sional latent class item response models, Computational Statistics and Data Analysis, 71, 971–985, ISSN: 0167-9473.
- Bartolucci F., Bacci S., Pennoni F. (2014). Longitudinal analysis of self-reported health status by mixture latent auto-regressive models, Journal of the Royal Statistical Society, Series C (Applied Statistics), 63(2), 267–288, ISSN: 1467-9876.
- Bertoli-Barsotti L., Bacci S. (2014). Identifying Guttman structures in incomplete Rasch datasets, Communications in Statistics. Theory and Methods, 43(3), 470-497, ISSN: 0361- 0926.
- Fontani S., Vaglio S., Beghelli V., Mattioli M., Bacci S., Accorsi P. A. (2014). Fecal concentrations of cortisol, testosterone, and progesterone in cotton-top tamarins hosted in different zoological parks: Relationship to environmental conditions and behavioral patterns, Journal of Applied Animal Welfare Science, 17(3), 228–252, ISSN: 1088-8705.
- Bacci S. (2012). Longitudinal data: different approaches in the context of item-response theory models, Journal of Applied Statistics, 39(9), 2047-2065, ISSN 0266-4763.
- Bonacchi A., Miccinesi G., Guazzini M., Rossi A., Bacci S., Toccafondi A., Martire M., Bellotti L., Perfetto R., Catanzaro P., Adamo V., Cascinu S., Doni L., Di Costanzo F., Ros- selli M. (2012), Temperament and character traits associated with Health-related Quality of life in cancer patients, Tumori, 98 (3), 377-384, ISSN: 0300-8916.
- Bacci S., Caviezel V. (2011). Multilevel IRT models for the university teaching evaluation, Journal of Applied Statistics, 38(12), 2775-2791, ISSN 0266-4763.
- Feddag M., Bacci S. (2009). Pairwise likelihood for the longitudinal mixed Rasch model, Computational Statistics and Data Analysis, 53(4), 1027-1037, ISSN: 0167-9473.
Capitoli in volumi con editore internazionale
- Bertaccini B., Bacci S., Crescenzi F. (2020) A Dynamic Latent Variable Model for Monitoring the Santa Maria del Fiore Dome Behavior. In: Gervasi O. et al. (eds) Computational Science and Its Applications - ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12252. Springer, Cham. https://doi.org/10.1007/978-3-030-58811-3 4
- Bacci S., Bartolucci F., Pigini C., Signorelli M. (2016). A finite mixture latent trajectory model for hirings and separations in the labor market, in Di Battista T., Moreno E., Racugno W. (editori), Topics on Methodological and Applied Statistical Inference, 9-20, Springer, ISBN: 978-3-319-44093-4.
- Bacci S., Bartolucci F. (2012). A multidimensional latent class Rasch model for the as- sessment of the Health-related Quality of Life, in Christensen K.B., Kreiner S., Mesbah M. (editori), Rasch models in health, Wiley-ISTE, 197-218, ISBN: 978-1-84821-222-0.
- Bacci S. (2010). Latent regression in Rasch framework, in Lauro C., Palumbo F. e Greena- cre M. (editori) Data Analysis and Classification: from the exploratory to the confirmatory approach, Springer, 319-328, ISBN: 978-3-642-03738-2.
- Bini M., Bertaccini B., Bacci S. (2009), Robust diagnostics in university performance studies, in Bini M., Monari P., Piccolo D. e Salmaso L. (editori) Statistical Methods for the evaluation of educational services and quality of products, Series Contribution to Statistics, Springer-Verlag, 139-160, ISBN: 978-3-7908-2384-4.
- Bacci S. (2008). Analysis of longitudinal HrQoL using latent regression in the context of Rasch modeling, in Huber C., Limnios N., Mesbah M. e Nikuline M. (editori) Mathemati- cal Methods for Survival Analysis, Reliability and Quality of Life, ISTE&Wiley, 275-290, ISBN: 978-1-84821-010-3.
- Chiandotto B., Bacci S. (2007). Measurement of university external effectiveness based on the use of the acquired skills, in Fabbris L. (a cura di) Effectiveness of University Educa- tion in Italy. Employability, Competences, Human Capital, Physica-Verlag, 89-104, ISBN: 978-3-7908-1749-2.
Articoli in altre riviste
- Rajeziesfahani S., Federici S., Bacci S., Meloni F., Bartolucci F., Zahiroddin A., Shams J., and Noorbakhsh S. (2019), Validity of the 36-item Persian (Farsi) version of the World Health Organization Disability Assessment Schedule (WHODAS) 2.0, International Journal of Mental Health, 48, 14–39, ISSN: 0020-7411.
- Bartolucci F., Bacci S., Pigini C. (2017). Misspecification test for random effects in gene- ralized linear finite-mixture models for clustered binary and ordered data, Econometrics and Statistics, 3, 112–131, ISSN: 2452-3062.
- Bacci S., Bartolucci F., Minelli L., Chiavarini M. (2016). Preterm Birth: Analysis of Longitudinal Data on Siblings Based on Random-effects Logit Models, Frontiers in Public Health, 4, 278, doi: 10.3389/fpubh.2016.00278, ISSN: 2296-2565.
- Bacci S., Terzani S. (2016). Performance analysis of Italian manufacturing companies: a multilevel linear approach, International Journal of Economics, Business and Finance, 4, 1-14, ISSN: 2327-8188.
- Bartolucci F., Bacci S., Pigini C. (2013). Comparison between conditional and marginal maximum likelihood estimation for a class of ordinal item response models, Quaderni di Statistica, Vol. 15, 1-17, ISSN: 1594-3739.
- Bacci S., Chiandotto B., di Francia A., Ghiselli S. (2008). Graduates job mobility: a longitudinal analysis, Statistica, 68(3), 255-279, ISSN: 0390-590X.
- Bacci S., Chiandotto B. (2007). Mobilit`a dei laureati per motivi di lavoro: un’analisi multilivello, Statistica Applicata, 19(1), 5-40, ISSN: 1125-1964.
- Bacci S. (2006). I modelli di Rasch nella valutazione della didattica universitaria, in Statistica Applicata, 19, 5-40, ISSN: 1125-1964.
- Bacci S., Chiandotto B. (2003). Ancora sulla struttura di preferenze nelle fondazioni bancarie, in Studi e Note di Economia, 3/2003, 39-54.
- Bacci S., Chiandotto B. (2002). Struttura di preferenze e decisioni razionali nelle fonda- zioni bancarie, in Studi e Note di Economia, 2/2002, 19-56.
Articoli e capitoli in libri con editore nazionale
- Cammelli A., Bacci S., di Francia A., Gasperoni G. (2009), Le condizioni di alloggio degli studenti fuori sede nell’esperienza dei laureati a Bologna, in Gli studenti e la citt`a: primo rapporto sugli studenti dell’universit`a di Bologna, Bononia University Press, 93-151, ISBN: 978-88-7395-475-0.
- Bacci S. (2008). Il trattamento della non risposta nel modello di Rasch, in Di Maio A., Gallo M. e Simonetti B. (editori) Metodi, Modelli e Tecnologie dell’Informazione a Supporto delle Decisioni. Parte seconda: applicazioni, Milano: Franco Angeli, 15-22, ISBN: 9788846483812.
- Chiandotto B., Bacci S. (2006). Un indicatore sintetico per la misura dell’efficacia interna della formazione universitaria, in Crocetta C. (a cura di) Metodi e modelli per la valutazione del sistema universitario, CLEUP, Padova, 89-104, ISBN: 9788871787916.
- Chiandotto B., Bacci S. (2005). Una misura dellefficacia esterna della formazione universi- taria basata sull’uso delle competenze acquisite, in Fabbris L. (a cura di) Efficacia esterna della formazione universitaria, CLEUP, Padova, 165-188, ISBN: 9788871786920.
- Chiandotto B., Bacci S. (2005). Un modello multilivello per l’analisi della condizione oc- cupazionale dei laureati, in Crocetta C. (a cura di) Modelli statistici per la transizione universit`a-lavoro, CLEUP, Padova, 211-234, ISBN: 9788871788257.
Articoli in proocedings di conferenze
- Arpino B., Bacci S., Grilli L., Guetto R., Rampichini C. (2019). Evaluating the school effect: adjusting for pre-test or using gain scores?, in Porzio G. C., M., Greselin F. and Balzano, S. (eds), Cladag 2019 Book of Short Papers, Cassino, Italy, September 11-13, 2019, p. 45-48, EUC, ISBN: 978-88-8317-108-6.
- Arpino B., Bacci S., Grilli L., Guetto R., Rampichini C. (2019). Issues in prior achievement adjustment for value added analysis: an application to Invalsi tests in Italian schools, in Carpita, M. and Fabbris, L. (eds), ASA Conference 2019. Statistics for Health and Well- Being. Book of Short Papers, Brescia, Italy, September 25-27, 2019, p. 17-20, CLEUP, ISBN: 978-88-5495-135-8
- Bacci S., Bertaccini B., Petrucci A. (2019). Museum preferences analysis: an item response model applied to network data, in Carpita, M. and Fabbris, L. (eds), ASA Conference 2019. Statistics for Health and Well-Being. Book of Short Papers, Brescia, Italy, September 25-27, 2019, p. 21-24, CLEUP, ISBN: 978-88-5495-135-8
- Bacci S., Bertaccini B., Dinelli R., Giusti A., Petrucci A. (2019). A network analysis of museum preferences: the Firenzecard experience, in Arbia G., Peluso S., Pini A., Rivellini G. (eds), Smart Statistics for Smart Applications. Book of Short Papers SIS2019, Milano, Italy, June 18-21, 2019, p. 653-658, Pearson, ISBN: 978-88-891915108.
- Bacci S., Bertaccini B., Dorgali V., Petrucci A. (2019). A graduates’ multilevel satisfaction index for the evaluation of the university external efficacy, in Bini, M., Amenta P., D’Ambra A., Camminatiello I. (eds), Statistical Methods for Service Quality Evaluation. Book of Short Papers of IES 2019, Rome, Italy, July 4-5, p. 255-259, Cuzzolin, ISBN: 978-88- 86638-65-4.
- Bacci S., Bertaccini B., Petrucci A. (2019). Attractiveness of university degree programs: a social network analysis, in Mariani, P. (eds), Data Science & Social Research 2019 Book of Abstracts, p. 20, pke, ISBN: 978-88-9431-2096.
- Bacci S., Bertaccini B. (2018). Finding the best paths in university curricula of gra- duates to improve academic guidance services, in Abbruzzo A., Brentari E., Chiodi M. e Piacentino D. (eds), Book of Short Papers SIS 2018, p. 615-622, Pearson, ISBN: 978-88-9191-0233.
- Bacci S., Caviezel V. e Falzoni A.M. (2018). Benefits of the Erasmus mobility experience: a discrete latent variable analysis, in Abbruzzo A., Brentari E., Chiodi M. e Piacentino D. (eds), Book of Short Papers SIS 2018, p. 993-998, Pearson, ISBN: 978-88-9191-0233.
- Gnaldi M., Bacci S., Greiff S., Kunze T. (2017). Profiles of students on account of complex problem solving (CPS) strategies exploited via log-data, in Petrucci A. e Verde R. (eds), SIS 2017. Statistics and Data Science: new challenges, new generations, p. 505-512, Firenze University Press, Firenze, ISBN: 978-88-6453-521-0.
- Bacci S., Bartolucci F., Pandolfi S. (2015). A joint model for longitudinal and survival data based on an AR(1) latent process, in Mola, F., Conversano C. (Eds.), CLADAG 2015. 10 Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society. Book of abstracts, p. 163-166, CUEC, Cagliari, ISBN: 978-88-8467-949-9.
- Bacci S., Bartolucci F., Grilli L., Rampichini C. (2015). An analysis of student perfor- mances through a finite mixture IRT model, in C. Crocetta and F. D’Ovidio (Eds.) Book of Abstract International Conference IES 2015 Innovation and Society Statistical Methods for services assessment, p. 32, Universit`a degli Studi di Bari “Aldo Moro”, Bari, ISBN: 978-88-88793-68-9.
- Bacci S., Bartolucci F., Minelli L., Giovinazzi F. (2015). Misurare la qualit`a del ricovero ospedaliero: un approccio a classi latenti, in G. De Santis (Ed.) Gestione della Salute, p. 417-428, Undicesimo Seminario Internazionale di Geografia Medica, Guerra Edel srl, Perugia, ISBN: 978-88-557-0553-0.
- Bacci S., Bartolucci F. (2014). A multidimensional finite mixture SEM for non-ignorable missing responses to test items, in S. Cabras, T. Di Battista and W. Racugno (Eds.) Proceedings of 47th Scientific Meeting of the Italian Statistical Society, full paper: 2831, CUEC Cooperativa Universitaria Editrice Cagliaritana, Cagliari, ISBN: 978-88-8467-874-4.
- Bacci S., Gnaldi M. (2013). A classification of university courses based on students sa- tisfaction: an application of a three-level mixture Item Response Theory (IRT) model, in Brentari E., Carpita M. (eds) Advances in Latent Variables, Herder Editrice, Milano, ISBN: 978-88-3432-556-8.
- Bacci S., Bartolucci F., Gnaldi M. (2011). Multidimensional latent class IRT models: an extension to items with ordinal responses, in Classification and Data Analysis 2011: Book of short papers, Pragma Congressi, Pavia, ISBN: 978-88-906-6390-1.
- Bacci S., Bartolucci F. (2012). Mixtures of equispaced Normal distributions and their use for testing symmetry in univariate data, in Quaderni di Statistica, Vol. 14, 13-16, ISSN: 1594-3739.
- Bacci S., Bartolucci F., Bertaccini B. (2012). Modeling nonignorable missingness in multi- dimensional latent class IRT models, in Proceedings of the XLVI Scientific Meeting, Societ`a Italiana di Statistica, University of Rome La Sapienza, 20-22 giugno 2012, Cleup, Roma, ISBN: 978-88-612-9882-8.
- Bacci S., Bartolucci F., Pieroni L. (2012). Causal analysis of education and birth inequali- ties through a latent class structural equation model, in Proceedings of the XLVI Scientific Meeting, Societ`a Italiana di Statistica, University of Rome La Sapienza, 20-22 giugno 2012, Cleup, Roma, ISBN: 978-88-612-9882-8.
- Bacci S., Gnaldi M. (2012). Multilevel mixture IRT models: an application to the uni- versity teaching evaluation, in Okada, A., Vicari, D., Ragozini, G. (eds) Analysis and Modeling of Complex Data in Behavioural and Social Sciences, Cleup, Padova, ISBN: 978-88-6129-916-0.
- Gnaldi M., Bartolucci F., Bacci S. (2011). Testing Unidimensionality and Clustering Items: An Application to the INVALSI Students’ Assessment Data, in Classification and Data Analysis 2011: Book of short papers, Pragma Congressi, Pavia, ISBN: 978-88-906-6390-1.
- Bacci S., Bartolucci F., Pennoni F. (2010). Markov-switching autoregressive latent variable models for longitudinal data, in Proceedings of XXV International Workshop on Statistical Modeling (IWSM), 57-62, Glasgow (UK).
- Bacci S. (2007). Health related Quality of Life: some methodological aspects of Rasch analysis, in Classification and data analysis 2007, 689-692, EUM, Macerata, SBN: 978-88- 6056-020-9.
- Bertoli-Barsotti L., Bacci S. (2007). Inferenza in analisi di Rasch nel caso di dati mancanti, in Atti della Riunione Scientifica “Valutazione e Customer satisfaction per la Qualit`a dei Servizi”, 25-28, CSU, Roma.
- Bacci S. (2005). Measurement of university effectiveness through a multilevel model, in Zani S. e Cerioli A. (a cura di) Classification and data analysis 2005, 225-228, MUP, Par- ma, ISBN: 9788878470668.
. Modelli a variabile latente
. Modelli Item Response Theory
. Modelli a classi latenti
. Modelli per dati longitudinali e multilivello
. Teoria statistica delle decisioni e teoria dell'utilità
Legenda
ppp
Professional status
. 1 apr. 2020 - today: Associate Professor in Statistics
. 1 oct. 2009 - 31 mar. 2020: Assistant Professor in Statistics
. 26 nov. 2014 - today: Qualified to Associate Professor in Statistics
. 19 nov. 2018 - today: Qualified to Associate Professor in Demography and Social Statistics
Educational qualification
. Ph.D. in Applied Statistics (2007)
. Degree in Business Economics (2002; summa cum laude)
. Scientific high school diploma (1996-1997; 60/60)
Affiliation to scientific societies
Regular member of the Italian Statistical Society (2012 - today)
Regular member of the Psychometric Society (2021)
Publications:
Monographs
Papers on international journals with Impact Factor ISI
Chapters in books with international publisher:
Papers in other journals:
Papers and chapters in books with national (Italian) publisher:
Papers in conference proceedings:
. Latent variable models
. Item Response Theory
. Latent class models
. Models for longitudinal and multilevel data
. Statistical decision theory and utility theory