SILVIA GOLIA JOURNAL ARTICLES, CHAPTERS IN BOOKS, PAPERS IN EDITED VOLUMES

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1 SILVIA GOLIA ACADEMIC CURRICULUM 1996: M.S. degree in Statistics and Economic Science at the University of Padova, Italy (Thesis: Tecniche di stima del massimo Esponente Caratteristico di Lyapunov e verifica della sua positività [Estimation techniques for the maximum Lyapunov characteristic exponent and test of its being positive], Supervisor: Prof. G.B Di Masi). 2000: Ph.D. degree in Statistical and Mathematical Methods for the Economic and Social Research at the University of Perugia, Italy (Thesis: Modelli Long Memory per l analisi delle serie temporali [Long Memory processes for time series analysis], Supervisor: Prof. P.L. Daddi). February-June 1998: visiting scholar at the Institute for Pure and Applied Physical Science, University of California San Diego (USA). Research Project: Detection and Classification of Chaotic Dynamical Systems. Head of the project: Dr. J. Kadtke. 2000: Fellowship at the European Institute of Oncology, Division of Epidemiology and Biostatistics, Milano. Director: Dr. P. Boyle : Postdoctoral fellow at the Quantitative Methods Department of the University of Brescia. Research project: Recenti sviluppi nell analisi non lineare delle serie storiche economiche e finanziarie [Recent developments in nonlinear time series analysis of economic and financial data]. Heads of the project: Prof. L. Dancelli and Prof. A. Mazzali. From January 2005: Researcher in Statistics (SECS-S/01) at the Department of Quantitative Methods (from 1st October 2012 Department of Economics and Management), University of Brescia, Italy. From 2006: member of the Italian Statistics Society (SIS). JOURNAL ARTICLES, CHAPTERS IN BOOKS, PAPERS IN EDITED VOLUMES - Golia S. (2014). Assessing the impact of uniform and nonuniform differential item functioning items on Rasch measure: the polytomous case. Computational Statistics, forthcoming. - Golia S., Simonetto A. (2014). Treating ordinal data: a comparison between rating scale and structural equation models. Quality and Quantity, forthcoming. - Golia S. (2014). A proposal for categorizing the severity of nonuniform differential item functioning: the polytomous case. Communication in Statistics. Theory and Methods, forthcoming.

2 - Golia S., Pedrazza M. (2014). Assessing the relational competence as the core dimension of social worker s perceived self-efficacy through the Rasch model. Electronic Journal of Applied Statistical Analysis, 7(1), Golia S. (2012). Differential Item Functioning classification for polytomously scored items. Electronic Journal of Applied Statistical Analysis, 5(3), Carpita M., Golia S. (2012). Measuring the quality of work: the case of the Italian social cooperatives. Quality and Quantity, 46(6), Golia S. (2011). The impact of questionnaire size on the accuracy of the Rasch measure. Journal of Applied Sciences, 11(4), Golia S. (2011). Misura oggettiva dell autoefficacia percepita tramite il Modello di Rasch. In: F. Bressan, M. Pedrazza, E. Neve (eds.), Il percorso formativo dell assistente sociale, Franco Angeli, Golia S. (2010). The assessment of DIF on Rasch measures with an application to job satisfaction. Electronic Journal of Applied Statistical Analysis: Decision Support Systems and Services Evaluation, 1(1) Brentari E., Golia S. (2009). Misure oggettive della qualità del lavoro soggettiva nelle cooperative sociali. In: La qualità del lavoro nelle cooperative sociali. Misure e modelli statistici, a cura di M. Carpita, Franco Angeli, Brentari E., Golia S. (2008). Measuring job satisfaction in the social service sector with the Rasch model. Journal of Applied Measurement, 9(1), Brentari E., Golia S., Manisera M. (2008). Analysing ordinal data to measure customer satisfaction: a comparison between the Rasch Model and CatPCA. In: L. D Ambra, P. Rostirolla, M. Squillante (eds.), Metodi, Modelli, e Tecnologie dell Informazione a Supporto delle Decisioni, (parte prima: Metodologie), Franco Angeli, Brentari E., Golia S. (2007). Unidimensionality in the Rasch model: How to detect and interpret. Statistica, 3, Brentari E., Golia S., Manisera M. (2007). Models for categorical data: a comparison between the Rasch model and Nonlinear Principal Component Analysis. Statistica&Applicazioni, V(1), Golia S. (2007). Allegato n.3: elaborazioni statistiche. In: A. De Giuli, P. Perazzolo (eds), Durabilit delle opere in legname nelle sistemazioni idraulico forestali. Una proposta metotologica, Direzione Foreste ed Economia Montana, Regione del Veneto, Boyle P., Golia S., Daly P., Johnston P.G., Robertson C. (2003). Cancer mortality in Ireland, Annals of Oncology, 14,

3 - Golia S. (2001). I processi FIGARCH: un applicazione all indice MIB 30. Statistica Applicata, 13, Stenzl A., Jarolim L., Coloby P., Golia S., Bartsch G., Babjuk M., Robertson C. (2001). Urethra-sparing cystectomy and orthotopic urinary diversion in women with malignant pelvic tumors. Cancer, 92, Golia S., Sandri M. (2001). A Resampling Algorithm for Chaotic Time Series. Statistics and Computing, 11, Golia S. (2001). Long memory effects in ultra-high frequency data Quaderni di Statistica, 3, Golia S., Sandri M. (1997). Resampling Chaotic Time Series. Physical Review Letters, 78(22), PUBLICATIONS IN CONFERENCE PROCEEDINGS - Golia S., Simonetto A. (2013). A comparison between SEM and Rasch model: the polytomous case. In: T. Minerva, I. Morlini, F. Palumbo, Cladag 2013, 9th Meeting of the Classification and Data Analysis Group, Book of Abstracts. Modena, September 18-20, p Golia S., Simonetto A. (2013). Latent Variable Analysis with Ordinal Data: Comparing the Structural Equation and the Rating Scale Models. In: E. Brentari, M. Carpita, Advances in Latent Variables. Brescia, June 19-21, p. 1-6, Vita e Pensiero, Milano. - Golia S. (2012). Evaluate the magnitude of non uniform DIF for Rasch model: the polytomous case. Quaderni di Statistica, 14, Golia S. (2012). A proposal for categorizing non uniform DIF in polytomous items. In: A. Okada, D. Vicari, G. Ragozini, Analysis and Modeling of complex data in behavioural and social sciences. Anacapri, September 3-4, p. 1-4, CLEUP Padova. - Golia S. (2010). Differential item functioning analysis with more than one population variables. In: Short Paper Book, Mtisd Pescara, September 12-15, p Golia S. (2009). The impact of uniform and nonuniform differencial item functioning on Rasch measure. In: Classification and Data Analysis 2009 Book of short papers, Catania, September 9-11, p Golia S. (2009). Assessment of DIF on Rasch measures applied to job satisfaction. In: IES Innovazione e Societ., Brescia, June 24-26, p Golia S. (2008). On the stability of the Rasch measure. In: MTISD 2008 Methods, Models and Information Technologies for Decision Support Systems, Lecce, September 18-20, p

4 - Brentari E., Golia S. (2008). Measuring the quality of work using the Rasch Model. In: Atti XLIV Riunione Scientifica SIS, Arcavacata (CS), June Brentari E. Golia S. (2007). Exploring unidimensionality in the Rasch model. In: Valutazione e Customer Satisfaction per la qualità dei servizi, Roma, April 12-13, De Luca G. Golia S. (2007). The Autocorrelation Function for Squares White Noises. In: P. Mantovan, A. Pastore, S. Tonellato (eds), S.Co.2007, Complex models and computational intensive methods for estimation and prediction, Venezia, September 6-8, p , CLEUP Padova. - Brentari E., Golia S., Manisera M. (2006). Analyzing ordinal data to measure customer satisfaction: a comparison between the Rasch Model and CatPCA. In: Atti del convegno Metodi, Modelli e Tecnologie dell Informazione a Supporto delle Decisioni MTISD 06, Procida (NA), September 28-30, RCE editore. - Bagliani M., Bravo G., Dalmazzone S., Golia S. (2006). A consumption-based approach to environmental Kuznets curves using the ecological footprint indicator. In: Proceedings of the Third World Congress of Environmental and Resource Economist, Kyoto, July Golia, S. (2002). Evaluating the GPH estimator via bootstrap technique. In: W. Hardle, B. Ronz (eds), COMPSTAT Proceedings in Computational Statistics, Berlin, August 24-28, p , Physica-Verlag. - De Luca G., Golia S. (2001). The direction of a price change and the persistence of intradaily durations. In: Atti del convegno Modelli complessi e metodi computazionali per la stima e la previsione, S.Co.2001, Bressanone (BZ), September 24-26, p TECHNICAL REPORTS - Carpita M., Golia S. (2008). Subjective Measures of Quality of Work in the Italian Social Cooperatives. Rapporti di ricerca del Dipartimento Metodi Quantitativi, Università di Brescia, Facoltà di Economia, Bagliani M., Bravo G., Dalmazzone S., Golia S. (2006). A worldwide time series analysis of the relationship between economic growth and environmental pressure. Rapporti di ricerca del Dipartimento Metodi Quantitativi, Università di Brescia, Facoltà di Economia, Brentari E., Golia S. (2005) The Rasch model and the FIVOL-FEO survey Rapporti di ricerca del Dipartimento di Metodi Quantitativi, Università di Brescia, Facoltà di Economia, Golia S. (2004) Long Memory Processes, a resampling method Rapporti di ricerca del Dipartimento di Metodi Quantitativi, Università di Brescia, Facoltà di Economia, Golia S. (2001) Proprietà statistiche dello stimatore GPH tramite ricampionamento del periodogramma. Rapporti di ricerca del Dipartimento di Metodi Quantitativi, Università di Brescia, Facoltà di Economia, 203.

5 PRESENTATIONS AT CONFERENCES AND WORKSHOPS - Sunova & Shape 2014, Statistics with UNObservable VAriables & Statistical models for HumAn Perception and Evaluation, Brescia, October 21, 2014: Structural Equation and Rasch models for polytomous data: a comparison (with A. Simonetto). - CLADAG 2013, 9th Meeting of the Classification and Data Analysis Group, Modena, September 18-20, 2013: A comparison between SEM and Rasch model: the polytomous case (with A. Simonetto). - JSC-CLADAG 2012, Analysis and Modeling of Complex Data in Behavioral and Social Sciences, Anacapri (NA), September 3-4, 2012: A proposal for categorizing nonuniform DIF in Polytomous items. - Methods and models for latent variables, MMLV2012, Napoli, May 17-19, 2012: Evaluate the magnitude of non uniform DIF for Rasch model: the polytomous case. - IES Innovazione e società, Firenze, May 30 - June 1, 2011: Effects of DIF items on Rasch measures. - Rasch Conference, Copenhagen, June 13-16, 2010: The evaluation of the impact of uniform and nonuniform differential item functioning on Rasch measure. - Metodi, Modelli e Tecnologie dell Informazione a Supporto delle Decisioni MTISD 2010, Pescara, September 12-15, 2010: Differential item functioning analysis with more than one population variables. - Classification and Data Analysis CLADAG 2009, Catania, September 9-11, 2009: The impact of uniform and nonuniform differencial item functioning on Rasch measure. - Workshop: La Qualità del Lavoro nelle Cooperative Sociali Misure e Modelli Statistici. Anteprima del libro di M. Carpita (a cura di), Franco Angeli, 2009, Trento, December 19, 2008: Misure Oggettive della Qualità del Lavoro Soggettiva nelle Cooperative Sociali (with E. Brentari). - Metodi, Modelli e Tecnologie dell Informazione a Supporto delle Decisioni MTISD, Lecce, September 18-20, 2008: On the stability of the Rasch measure. - XLIV Riunione Scientifica Società Italiana di Statistica, Arcavacata (CS), June 25-27, 2008: Measuring the quality of work using the Rasch Model (with E. Brentari). - Colloquio Scientifico Annuale sullimpresa Sociale - II edizione, Bari, May 22-24, 2008: Measuring the subjective quality of work in the social enterprise (with M. Carpita). - S.Co.2007, Venezia, September 6-8, 2007: The Autocorrelation Function for Squares White Noises (with G. De Luca).

6 - Workshop: Recent advances in data analysis and data mining, Brescia, May 15, 2007: The Rasch Model vs Nonlinear PCA (with E. Brentari and M. Manisera). - Valutazione e Customer Satisfaction per la qualità dei servizi, Roma, April 12-13, 2007: Exploring unidimensionality in the Rasch model (with E. Brentari). - Metodi, Modelli e Tecnologie dell Informazione a Supporto delle Decisioni, Procida (NA), September 28-30, 2006: Analyzing ordinal data to measure customer satisfaction: a comparison between the Rasch Model and CatPCA (with E. Brentari and M. Manisera). - Workshop PRIN-MIUR: Il ruolo economico delle organizzazioni non-profit: nuovi sviluppi teorici e verifiche empiriche, Napoli, January 20-21, 2006: Misurare la job satisfaction con il Modello di Rasch (with E. Brentari). - COMPSTAT 2002, Berlin, August 24-28, 2002: Evaluating the GPH estimator via bootstrap technique. - III Workshop di Finanza Matematica, Verona January 31 - February : Modelling intradaily durations for the direction of the price change (with G. De Luca). - Modelli complessi e metodi computazionali per la stima e la previsione, S.Co.2001, Bressanone (BZ), September 24-26, 2001: The direction of a price change and the persistence of intradaily durations (with G. De Luca). - Modelli Statistici per l Analisi delle Serie Temporali, L Aquila, April 6-5, 2001: L Analisi dei dati ad altissima frequenza in un contesto di lunga memoria. - International Conference on Applied Nonlinear Dynamics near the Millennium, San Diego (USA) July 7-11, 1997, Poster: A method for resampling chaotic time series (with M. Sandri). TEACHING Current Teaching - Statistics for Risk Management. Master Degree in Money, Finance and Risk Management, Faculty of Economics, University of Brescia (from AY 2009/2010) [40 teaching hours, 6 ECTS]. Past Teaching - International Economic Statistics. Master Degree in International Economics, Faculty of Economics, University of Brescia (AY 2009/2010, 2010/2011) [40 teaching hours, 6 ECTS]. - International Economic and Social Statistics. Master Degree in International Economics, Faculty of Economics, University of Brescia (AY 2007/2008, 2008/2009) [30 teaching hours, 5 ECTS].

7 - Financial Time Series. Master Degree in Money, Finance and Risk Management, Faculty of Economics, University of Brescia (AY 2005/2006, 2006/2007, 2007/2008) [30 teaching hours, 5 ECTS]. - Statistical Inference. Bachelor Degree in Banking and Finance, Faculty of Economics, University of Brescia (AY 2006/2007) [30 teaching hours, 5 ECTS].

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