Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/13540| DC Field | Value | Language |
|---|---|---|
| dc.date.accessioned | 2020-03-23T13:41:36Z | - |
| dc.date.available | 2020-03-23T13:41:36Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.uri | http://hdl.handle.net/2122/13540 | - |
| dc.description.abstract | Job Satisfaction is a set of favorable or unfavorable feelings and emotions linked to how employees view their work environment. If employees are not satisfied with their jobs, the overall progress of the entire system is affected. This paper reports on a study of teacher job satisfaction that examined a sample of 362 teachers. The study used a Common Assessment Framework & Education questionnaire to collect data, and a Structural Equation Model taking age, total years of service and gender into account was used to identify the factors that most influence Job Satisfaction. The results obtained from the Job Satisfaction model underline a significant difference between male and female teachers. | en_US |
| dc.language.iso | English | en_US |
| dc.publisher.name | Università del Salento | en_US |
| dc.relation.ispartof | Electronic Journal of Applied Statistical Analysis | en_US |
| dc.relation.ispartofseries | 3/13 (2019) | en_US |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
| dc.subject | teacher job satisfaction | en_US |
| dc.subject | structural equation model | en_US |
| dc.subject | measurement model | en_US |
| dc.subject | partial least squares | en_US |
| dc.subject | gender | en_US |
| dc.subject | age | en_US |
| dc.title | A statistical model for self-evaluation of teacher’s satisfaction: a study in an Italian secondary school | en_US |
| dc.type | article | en |
| dc.description.status | Published | en_US |
| dc.type.QualityControl | Peer-reviewed | en_US |
| dc.description.pagenumber | 637-656 | en_US |
| dc.identifier.doi | 10.1285/i20705948v12n3p637 | en_US |
| dc.relation.references | Anderson, E. W. and Fornell, C. (2000). Foundations of the american customer satisfaction index. Total quality management, 11(7):869–882. Bavendam, J. (2000). Effective management through measurement. Bayol, M.-P., de la Foye, A., Tellier, C., and Tenenhaus, M. (2000). Use of pls path modeling to estimate the european consumer satisfaction index (ecsi) model. Statistica Applicata, 12(3):361–375. Bishay, A. (1996). Teacher motivation and job satisfaction: A study employing the experience sampling method. Journal of undergraduate Sciences, 3(3):147–155. Blok, H., Sleegers, P., and Karsten, S. (2008). Looking for a balance between internal and external evaluation of school quality: Evaluation of the svi model. Journal of education policy, 23(4):379–395. Chen, J.-C. and Silverthorne, C. (2008). The impact of locus of control on job stress, job performance and job satisfaction in taiwan. Leadership & Organization Development Journal, 29(7):572–582. Ciavolino, E. (2012). General distress as second order latent variable estimated through pls-pm approach. Electronic Journal of Applied Statistical Analysis, 5(3):458–464. Ciavolino, E., Redd, R., Evrinomy, A., Falcone, M., Fini, V., Kadianaki, I., Kullasepp, K., Mannarini, T., Matsopoulos, A., Mossi, P., et al. (2017). Views of context. an instrument for the analysis of the cultural milieu. a first validation study. Electronic Journal of Applied Statistical Analysis, 10(2):599–628. Cohen, J. (1988). Statistical power analysis for the behavioural sciences. Dinham, S. and Scott, C. (1997). Modelling teacher satisfaction: Findings from 892 teaching staff at 71 schools. Dinham, S. and Scott, C. (2000). Teachers’ work and the growing influence of societal expectations and pressures. El Ghaziri, A., Qannari, E. M., Moyon, T., and Alexandre-Gouabau, M.-C. (2015). Aovpls: a new method for the analysis of multivariate data depending on several factors. Electronic Journal of Applied Statistical Analysis, 8(2):214–235. Green, S. B. (1991). How many subjects does it take to do a regression analysis. Multivariate behavioral research, 26(3):499–510. J¨oreskog, K. G. (1970). A general method for estimating a linear structural equation system. ETS Research Bulletin Series, 1970(2):i–41. MacBeath, J. (2005). Schools must speak for themselves: The case for school selfevaluation. Routledge. Martilla, J. A. and James, J. C. (1977). Importance-performance analysis. The journal of marketing, pages 77–79. Porter, L. W. and Lawler, E. E. (1968). Managerial attitudes and performance. Price, J. L. (2001). Reflections on the determinants of voluntary turnover. International Journal of manpower, 22(7):600–624. Quazza, A., Noureddine, R., and Zoubir, Z. (2018). A hybrid method combining the pls and the bayesian approaches to estimate the structural equation models. Electronic Journal of Applied Statistical Analysis, 11(2):577–607. Sarnacchiaro, P. and Boccia, F. (2018). Some remarks on measurement models in the structural equation model: an application for socially responsible food consumption. Journal of Applied Statistics, 45(7):1193–1208. Sarnacchiaro, P. and D’Ambra, L. (2012). Students’ evaluations of university teaching: a structural equation modeling analysis. Electronic Journal of Applied Statistical Analysis, 5(3):406–412. Skaalvik, E. M. and Skaalvik, S. (2010). Teacher self-efficacy and teacher burnout: A study of relations. Teaching and teacher education, 26(4):1059–1069. Skaalvik, E. M. and Skaalvik, S. (2011). Teacher job satisfaction and motivation to leave the teaching profession: Relations with school context, feeling of belonging, and emotional exhaustion. Teaching and teacher education, 27(6):1029–1038. Spector, P. E. (1997). Job satisfaction: Application, assessment, causes, and consequences, volume 3. Sage publications. Wold, H. (1975). Path models with latent variables: The nipals approach. In Quantitative sociology, pages 307–357. Elsevier. | en_US |
| dc.description.obiettivoSpecifico | 3TM. Comunicazione | en_US |
| dc.description.journalType | JCR Journal | en_US |
| dc.relation.eissn | 2070-5948 | en_US |
| dc.contributor.author | Sarnacchiaro, Pasquale | - |
| dc.contributor.author | Scippacercola, Sergio | - |
| dc.contributor.author | Malafronte, Pasqualina | - |
| dc.contributor.department | Department of Law and Economics, University of Rome, Unitelma Sapienza, Roma (Italy) | en_US |
| dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia | en_US |
| item.openairetype | article | - |
| item.cerifentitytype | Publications | - |
| item.languageiso639-1 | en | - |
| item.grantfulltext | open | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.fulltext | With Fulltext | - |
| crisitem.author.dept | Department of Law and Economics, University of Rome, Unitelma Sapienza, Roma (Italy) | - |
| crisitem.author.dept | Università Federico II di Napoli | - |
| crisitem.author.orcid | 0000-0002-4979-0918 | - |
| crisitem.author.orcid | 0000-0003-4416-5838 | - |
| crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
| Appears in Collections: | Article published / in press | |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| SARNACCHIARO-SCIP-MALAF 2.pdf | 616.96 kB | Adobe PDF | View/Open |
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