Prodotti della ricerca

 

PUBBLICAZIONI

 

Articoli su rivista

  1. Columbu S., Porcu M. & Sulis I. (2020) University choice and the attractiveness of the study area: Insights on the differences amongst degree programmes in Italy based on generalised mixed-effect models. Socio-Economic Planning Sciences. https://doi.org/10.1016/j.seps.2020.100926.
  2. Columbu S., Porcu M., Primerano I., Sulis I., & Vitale M.P (2020) Geography of Italian student mobility: A network analysis approach Socio-Economic Planning Sciences. https://doi.org/10.1016/j.seps.2020.100918
  3. Sulis I., Giambona F., & Porcu M. (2020) Adjusted indicators of quality and equity for monitoring the education systems over time. Insights on EU15 countries from PISA survey. Socio-Economic Planning Sciences. 69, 1-16. doi: 10.1016/j.seps.2019.05.005.
  4.  Barbieri B., Sulis I., Porcu M. & Toland M.D. (2019) Italian Teachers’ Well-Being Within the High School Context: Evidence From a Large Scale Survey. Frontiers in Psychology. (ISSN: 1664-1078). doi: 10.3389/fpsyg.2019.01926.
  5. Sulis I., Porcu M., & Capursi V. (2019) On the use of student evaluation of teaching. A longitudinal analysis combining measurement issues and implications of the exercise.  Social Indicators Research, 142, 1305–1331 (ISSN: 0303-8300). doi: 10.1007/s11205-018-1946-8.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. Giambona F., Porcu M. & Sulis I. (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.
  15. 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.
  16. 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.
  17. 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).

Capitoli di libri

(editori internazionali)

 

  1. Sulis, 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. Studies in Classification, Data Analysis, and Knowledge Organization. p. 259-268 Springer, Cham. ISBN 978-3-319-17376-4 [ISBN 978-3-319-17377-1 (eBook)], doi: 10.1007/978-3-319-17377-1_25.

 

  1. Porcu M., Sulis (2013) The Credit Accumulation Process to Assess the Performances of Degree Programs: An Adjusted Indicator Based on the Result of Entrance Tests. In: Giudici P., Ingrassia S., Vichi M. (eds) Statistical Models for Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. p. 279-287. Springer, Heidelberg. ISBN 978-3-319-00031-2 [ISBN 978-3-319-00032-9 (eBook)], doi: 10.1007/978-3-319-00032-9_32.

 

  1. Sulis (2013) A Further Proposal to Perform Multiple Imputation on a Bunch of Polytomous Items Based on Latent Class Analysis. In: Giudici P., Ingrassia S., Vichi M. (eds) Statistical Models for Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. p. 361-369. Springer, Heidelberg. ISBN 978-3-319-00031-2. [ISBN 978-3-319-00032-9 (eBook)]. doi10.1007/978-3-319-00032-9_41.

 

  1. Sulis, Porcu M. (2011). Assessing the Quality of the Management of Degree Programs by Latent Class Analysis. In: ATTANASIO M., CAPURSI V. (Eds), Statistical Methods for the Evaluation of University Systems, Contributions to Statistics, p. 161-172. BERLIN HEIDELBERG: Springer-Verlag. ISBN: 978-3-7908-2375-2.

 

  1. Sulis, Porcu M., Tedesco N. (2011) Evaluating Lecturer’s Capability Over Time. Some Evidence from Surveys on University Course Quality. In: Ingrassia S., Rocci R., Vichi M. (eds) New Perspectives in Statistical Modeling and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. p. 13-20. Springer, Berlin, Heidelberg. ISBN: 978-3-642-11362-8. [ISBN 978-3-642-11363-5 (eBook)]. doi: 10.1007/978-3-642-11363-5_2.

 

  1. Sulis, Porcu M., Pitzalis M. (2011) Scaling the Latent Variable Cultural Capital via Item Response Models and Latent Class Analysis. In: Fichet B., Piccolo D., Verde R., Vichi M. (eds) Classification and Multivariate Analysis for Complex Data Structures. Studies in Classification, Data Analysis, and Knowledge Organization. p. 269-277. Springer, Berlin, Heidelberg. ISBN: 978-3-642-13311-4 [ISBN 978-3-642-13312-1 (eBook)]. doi: 10.1007/978-3-642-13312-1_28.

 

 

  1. Sulis, Porcu M. (2010) A Multiple Imputation Approach in a Survey on University Teaching Evaluation. In: Palumbo F., Lauro C., Greenacre M. (eds) Data Analysis and Classification. Studies in Classification, Data Analysis, and Knowledge Organization. p. 473-482. Springer, Berlin, Heidelberg. ISBN: 978-3-642-03738-2 [ISBN 978-3-642-03739-9 (eBook)]. Doi: 10.1007/978-3-642-03739-9_53.

 

(editori nazionali)

 

  1. 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.

 

  1. 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.

 

  1. 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.

 

  1. 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.

 

Peer Reviewed Proceedings (selezione)

 

  1. Sulis, Columbu S., Porcu M (in stampa). From measurement to explanatory approaches: an assessment of the attractiveness of the curricula programs supplied by Italian universities. Proceedings of the 50th Scientific Meeting of the Italian Statistical Society. Cancelled due to COVID-19. June 2020.

 

  1. Columbu, S., Porcu, M., Primerano, I., Sulis, I., Vitale, M. (2019). Exploring the Italian student mobility flows in higher education. In Statistical Methods for Service Quality Evaluation. Matilde Bini, Pietro Amenta, Antonello D’Ambra, Ida Camminatiello Editors. Book of short papers of IES 2019 Rome, Italy, July 4-5, pag. 46-49, Cuzzolin Editore, Napoli. ISBN: 978-88-86638-65-4.

 

  1. Columbu S., Porcu, M., Sulis, I. (2019), Assessing quality in Italian Universities: a multilevel latent profile approach. IWSM 2019. Book of Short Paper 978-989-20-9630-8.

 

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IRIS è il sistema di gestione integrata dei dati della ricerca (persone, progetti, pubblicazioni, attività) adottato dall'Università degli Studi di Cagliari dal mese di luglio 2015.

Mostra risultati da 1 a 50 di 55
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TitoloData di pubblicazioneAutore(i)RivistaEditore
From measurement to explanatory approaches: an assessment of the attractiveness of the curricula programs supplied by Italian universities2020Sulis, Isabella; Columbu, Silvia; Porcu, MarianoPearson
Geography of Italian student mobility: A network analysis approach2020Columbu, S.; Porcu, M.; Primerano, I.; Sulis, I.; Vitale, M. P.SOCIO-ECONOMIC PLANNING SCIENCES
University choice and the attractiveness of the study area: Insights on the differences amongst degree programmes in Italy based on generalised mixed-effect models2020Columbu, Silvia; Porcu, Mariano; Sulis, IsabellaSOCIO-ECONOMIC PLANNING SCIENCES
Adjusted indicators of quality and equity for monitoring the education systems over time. Insights on EU15 countries from PISA surveys2020Sulis, Isabella; Giambona, Francesca; Porcu, MarianoSOCIO-ECONOMIC PLANNING SCIENCES
Exploring the Italian student mobility flows in higher education.2019Columbu, S.; Porcu, M.; Primerano, I.; Sulis, I.; Vitale, MCuzzolin
Assessing quality in Italian Universities: a multilevel latent profile approach.2019Columbu, Silvia; Porcu, Mariano; Sulis, Isabella
On the use of student evaluation of teaching: a longitudinal analysis combining measurement issues and implications of the exercise2019Sulis, Isabella; Porcu, Mariano; Capursi, VincenzaSOCIAL INDICATORS RESEARCH
Italian Teachers' Well-Being Within the High School Context: Evidence From a Large Scale Survey2019Barbieri, Barbara; Sulis, Isabella; Porcu, Mariano; Toland, Michael D.FRONTIERS IN PSYCHOLOGY
One perception, two perspectives: measuring psychological contract dimensionality through the Psychological Contract Content Questionnaire2018Barbieri, B.; Farnese, M. L.; Sulis, I.; Dal Corso, L.; De Carlo, A.TPM. TESTING, PSYCHOMETRICS, METHODOLOGY IN APPLIED PSYCHOLOGY
University choice and the attractiveness of the study area. Insights from an analysis based on generalized mixed-effect models2018Columbu, S.; Porcu, M.; Sulis, I.Pearson
Introduction to bifactor polytomous item response theory analysis2017Toland, M D; Sulis, I; Giambona, F; Porcu, M; Campbell, J. M.MichaelJOURNAL OF SCHOOL PSYCHOLOGY
Multivariate mixed models for assessing equity and efficacy in education. An analysis over time using EU15 PISA data2017Sulis, Isabella; Giambona, Francesca; Porcu, MarianoUniversitas Studiorum
Introduction to Multilevel Item Response Theory Analysis: Descriptive and Explanatory Models.2017Sulis, Isabella; Toland, MdTHE JOURNAL OF EARLY ADOLESCENCE
Students mobility: assessing the determinants of attractiveness across competing territorial areas.2017Giambona, Francesca; Porcu, Mariano; Sulis, IsabellaSOCIAL INDICATORS RESEARCH
Handling missing data in item response theory. Assessing the accuracy of a multiple imputation procedure based on latent class analysis2017SULIS, ISABELLA; PORCU, MARIANOJOURNAL OF CLASSIFICATION
An integrated strategy for the analysis of student evaluation of teaching: from descriptive measures to explanatory models2017La Rocca, Michele; Parrella, Maria Lucia; Primerano, Ilaria; Sulis, Isabella; Vitale, Maria Prosp...erinaQUALITY & QUANTITY
Measuring Digital Teaching Innovation Using Item Response Theory Models2016Giambona F; Pitzalis M; Porcu M; Sulis IITALIAN JOURNAL OF SOCIOLOGY OF EDUCATION
L’analisi dell’opinione degli studenti sulla didattica universitaria: potenzialità dei modelli IRT e dei modelli multilivello2016La Rocca, M; Parrella, ML; Primerano, I; Sulis, I; Vitale, MPFranco Angeli
Insegnanti e innovazione. La scuola sarda e la sfida del digitale2015Giambona, Francesca; Pitzalis, Marco; Porcu, Mariano; Sulis, IsabellaCUEC
L'analisi quantitativa2015Pitzalis, Marco; Porcu, Mariano; Sulis, Isabella; Giambona, Francesca; De Feo, Antonietta; Ghiacc...io, M. F.CUEC
Assessing divergences in mathematics and reading achievement in Italian Primary Schools: a proposal of adjusted indicators of School effectiveness2015Sulis, I; Porcu, MSOCIAL INDICATORS RESEARCH
Using Discrete-Time Multistate Models to Analyze Students' University Pathways2015Sulis I; Giambona F; Tedesco NSTUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATIONSpringer
Does Education affect individual well-being? Some Italian Empirical evidences2014GIAMBONA F; PORCU M; SULIS IOPEN JOURNAL OF STATISTICS
Analyzing SET over time using multilevel multidimensional explanatory Item Response Theory models2013Sulis I; Capursi VIstituto Poligrafico Europeo
Detecting differences between primary schools in mathematics and reading achievement by using schools added-value measures of performance2013Porcu M; Sulis ICLEUP
The credit accumulation process to assess the performances of degree programs: An adjusted indicator based on the result of entrance tests2013Porcu, Mariano; Sulis, IsabellaSpringer International Publishing
Building up adjusted indicators of students' evaluation of university courses using generalized item response models2013Sulis I; Capursi VJOURNAL OF APPLIED STATISTICS
Analyzing university students’ careers using Multi-State Models2013Sulis I; Giambona F; Tedesco NCLEUP
A further proposal to perform multiple imputation on a bunch of polytomous items based on latent class analysis2013Sulis, IsabellaSpringer International Publishing
Handling missing data in item response theory. Assessing the accuracy in estimation of two multiple imputation procedures2013Sulis I; Porcu MIstituto Poligrafico Europeo
Comparing degree programs from students’ assessments: A LCRA-based adjusted composite indicator2012Sulis, Isabella; Porcu, MarianoSTATISTICAL METHODS & APPLICATIONS
Comparing degree programs using unadjusted performance indicators. Assessing the bias from the Potential Confounding Factors2012Porcu M; Sulis ICLEUP
Measures of Quality of Life among University Students2011Sulis, I.; Tedesco, N.STATISTICA APPLICATA
A further proposal to multiple impute missing categorical values using Latent Class Analysis2011SULIS I
Scaling the Latent Variable Cultural Capital Via Item Response Models and Latent Class Analysis2011Sulis, Isabella; Porcu, Mariano; Pitzalis, MarcoSpringer
Evaluating lecturer's capability over time. Some evidence from surveys on university course quality2011Sulis I; Porcu M; Tedesco NSpringer-Verlag
Assessing the Quality of the Management of Degree Programs by Latent Class Analysis2011SULIS I; PORCU MSpringer-Verlag
Scalare la reputazione degli Atenei nella percezione dello studente attraverso la Mokken Scale Analysis2011Sulis I; Tedesco N; Zavarrone EFORMAZIONE E LAVOROCLEUP
Evaluating the University System Controlling for Potential Confounding Factors2011SULIS I; PORCU MPaviaUniversityPress - Biblioteca delle Scienze - Dispenseonline
A multiple imputation approach in a survey on university teaching evaluation2010SULIS I; PORCU MSTUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATIONSpringer-Verlag
Measures of Quality of Life among University Students2009SULIS I; TEDESCO NSTATISTICA APPLICATA
Evaluating lecturer’s capability over time. Some evidence from surveys on university course quality2009PORCU, MARIANO; SULIS, ISABELLA; TEDESCO, NICOLACLEUP
Pointing Out Homogeneous Classes of Students Moving from Assessments of Management of Their Degree Schemes2008SULIS I; PORCU MCLEUP
Quality of Life Among University Students: a Comparison Study Based on Item Response Models2008SULIS I; TEDESCO NCLEUP
L’imputazione dei dati mancanti: un confronto tra diversi approcci2008BOSCAINO G; SULIS I
Differences of Cultural Capital among students in transition to university: some evidences from a survey2008Porcu, Mariano; Pitzalis, Marco; Sulis, IsabellaIASK
Assessing the Effectiveness of a Stochastic Regression Imputation Method for Ordered Categorical Data2008SULIS, ISABELLA; PORCU, MARIANO
Differences of cultural capital among students in transition to university. Some first survey evidences2008Pitzalis, M.; Sulis, I.; Porcu, M.
A multiple imputation approach in a survey on university teaching evaluation2007SULIS, ISABELLA; PORCU, MARIANOEum
The evaluation of university teaching. An imputation procedure to recover for missingness2007Sulis, Isabella; Porcu, MarianoCLEUP
   
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