Source: http://people.unica.it/isabellasulis/prodotti-della-ricerca/
Timestamp: 2019-04-25 05:53:07+00:00

Document:
Sulis I., Porcu M., & Capursi V. (2018) On the use of student evaluation of teaching. A longitudinal analysis combining measurement issues and implications of the exercise. Social Indicators Research. doi: 10.1007/s11205-018-1946-8.
Barbieri, B., Farnese, M. L., Sulis, I., Dal Corso, L., & De Carlo, A. (2018) One Perception, two perspectives: measuring psychological contract dimensionality through the psychological contract content questionnaire. Testing, Psychometrics, Methodology in Applied Psychology. 25 (1), 21-47. (ISSN: 1972-6325). doi: 10.4473/TPM25.1.2.
Sulis I. & Porcu M. (2017). Handling Missing Data in Item Response Theory. Assessing the Accuracy of a Multiple Imputation Procedure Based on Latent Class Analysis. Journal of Classification. 34 (2), 327–359. (ISSN: 0176-4268). doi:10.1007/s00357-017-9220-3.
Toland, M. D., Sulis, I., Giambona, F., Porcu, M., & Campbell, J. M. (2017). Introduction to bifactor polytomous item response theory analysis. Journal of School Psychology. 60, 41-63. (ISSN: 0022-4405). doi:10.1016/j.jsp.2016.11.001.
La Rocca M., Parrella L., Primerano I., Sulis I. & Vitale M.P. (2017). An integrated strategy for the analysis of student evaluation of teaching: from descriptive measures to explanatory models. Quality & Quantity. 51 (2), 675-691. (ISSN: 0033-5177). doi: 10.1007/s11135-016-0432-0.
Giambona F., Porcu M. & Sulis I. (2017). Students mobility: assessing the determinants of attractiveness across competing territorial areas. Social Indicators Research. 133(3), 1105–1132 (ISSN: 0303-8300). doi: 10.1007/s11205-016-1407-1.
Giambona, F., Pitzalis, M., Porcu, M., & Sulis, I. (2016). Measuring Digital Teaching Innovation Using Item Response Theory Models. Italian Journal of Sociology of Education, 8 (2), 68-109. (ISSN 2035-4983). doi: 10.14658/pupj-ijse-2016-2-5.
Sulis & Toland M. D. (2017). Introduction to Multilevel Item Response Theory Analysis: Descriptive and Explanatory Models. The Journal of Early Adolescence. 37 (1), 85-128. (ISSN: 0272-4316). doi: 10.1177/0272431616642328.
Sulis & Porcu M (2015). Assessing Divergences in Mathematics and Reading Achievement in Italian Primary Schools: A proposal of adjusted indicators of school effectiveness. Social Indicators Research, 122 (2), p. 607-635 (ISSN: 0303-8300). doi: 10.1007/s11205-014-0701-z.
Giambona F., Porcu M. & Sulis (2014). Does Education affect individual well-being? Some Italian Empirical evidences. Open Journal of Statistics, 4 (5), p. 319-329 (ISSN: 2161-718X). doi: 10.4236/ojs.2014.45032.
Sulis & Capursi V. (2013). Building up adjusted indicators of students’ evaluation of university courses using generalized item response models. Journal of Applied Statistics, 40 (1), p. 88-102. (ISSN 0266-4763). doi: 10.1080/02664763.2012.734796.
Sulis & Porcu M. (2012). Comparing degree programs from students’ assessments: A LCRA-based adjusted composite indicator. Statistical Methods & Applications, 21, p. 193-209, (ISSN: 1618-2510). doi: 10.1007/s10260-011-0185-9.
Sulis I. & Tedesco N. (2009). Measures of Quality of Life among University Students. STATISTICA APPLICATA – Italian Journal of Applied Statistics, 21 (3,4), p. 245-264 (ISSN: 1125-1964).
Sulis I., Giambona F., Tedesco N. (2015). Using Discrete-Time Multistate Models to Analyze Students’ University Pathways. In Morlini I., Minerva T., Vichi M. (Eds.), Advances in Statistical Models for Data Analysis, p. 259-268. Springer International Publishing, Switzerland. ISSN: 1431-8814. ISBN 978-3-319-17376-4.
Porcu M., Sulis I. (2013). The Credit Accumulation Process to Assess the Performances of Degree Programs: An Adjusted Indicator Based on the Result of Entrance Tests. Statistical Models for Data Analysis, p. 279-288. In: Ingrassia S., Giudici P., Rocci R., Vichi M., BERLIN HEIDELBERG: Springer-Verlag . ISBN 978-3-319-00031-2.
La Rocca, M., Parrella M.L., Primerano I., Sulis, Vitale M.P. (2016). L’analisi dell’opinione degli studenti sulla didattica universitaria: potenzialità dei modelli IRT e dei modelli multilivello, in Buono. P, Gallo M, Ragozini G., Reverchon E., Rostirolla P., Il sistema universitario campano tra miti e realtà. Aspetti metodologici, analisi e risultati. Milano: Franco Angeli. ISBN 978-88917-4230-8.
Giambona F., Pitzalis M., Porcu M, Sulis (2015). Insegnanti e innovazione. La scuola sarda e la sfida del digitale. In Calidoni P. and Casula C. (Ed), Education 2.0: esperienze, riflessioni, scenari.CUEC. ISBN 978-88-8467-946-8.
Pitzalis M., Giambona F., De Feo A., Ghiaccio M.F., Porcu M., Sulis (2015). La rivoluzione digitale nella scuola sarda. Caratteristiche strutturali del sistema, culture professionali, organizzative e didattiche di fronte alla sfida dell’innovazione. CUEC. ISBN:978 -88 -8467- 895 -9.
Sulis, Tedesco N., Zavarrone E. (2011). Scalare la reputazione degli Atenei nella percezione dello studente attraverso la Mokken Scale Analysis. In CIVARDI M. (Ed). Modelli e metodi per valutare la reputazione di strutture formative, vol. 15, p. 135-154. PADOVA: CLEUP, ISBN: 978-88-6129-899-6.
Sulis I., Giambona F. & Porcu M. (2017). Multivariate mixed models for assessing equity and efficacy in education. An analysis over time using EU15 PISA data. In F. Greselin, F. Mola and Ma. Zenga Editors, CLADAG 2017. Book of Short Papers International Conference of The CLAssification and Data Analysis Group of the Italian Statistical Society, Milano-Bicocca, September 13-15. Universitas Studiorum (E-book).ISBN 978-88-99459-71-0.
Sulis I., Porcu M. (2013) Handling missing data in item response theory. Assessing the accuracy in estimation of two multiple imputation procedures. In V. M. R. Muggeo, V. Capursi, G. Boscaino, and G. Lovison, editors, Proceedings of the 28th International Workshop on Statistical Modelling, vol. 2, Istituto Poligrafico Europeo, Palermo. p. 795-798. ISBN: 978-88-96251-49-2.
Sulis I., Capursi V. (2013) Analyzing SET over time using multilevel multidimensional explanatory Item Response Theory models. In: V. M. R. Muggeo, V. Capursi, G. Boscaino, and G. Lovison, editors, Proceedings of the 28th International Workshop on Statistical Modelling, vol. 2, Istituto Poligrafico Europeo, Palermo. p 789-793. ISBN: 978-88-96251-49-2.
Sulis I., Porcu M. (2007), The evaluation of university teaching. An imputation procedure to recover for missingness, in “Rischio e previsione”, SIS, Atti della riunione intermedia, Venezia 6-8 Giugno 2007, p. 511-512, Padova, CLEUP. ISBN: 978-88-6129-093-8 .

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