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Statistical Methods for the Evaluation of University Systems

:	Vincenza Capursi, Massimo Attanasio
:	Massimo Attanasio, Vincenza Capursi
:	Statistical Methods for the Evaluation of University Systems
:	Physica-Verlag
:	9783790823752
:	1
:	CHF 132.70
:

:	Bildungswesen
:	English

:	282
:	Wasserzeichen
:	PC/MAC/eReader/Tablet
:	PDF

This book presents a collection of statistical methods and procedures to assess data coming from educational systems. The topics examined include: statistical methods for constructing composite indicators, applied measurements, assessment of educational systems, measurement of the performance of the students at Italian universities, and statistical modeling for questionnaire data. Other issues are the implications of introducing different assessment criteria and procedures to the Italian university system.

	Preface	4
	Contents	8
	Contributors	10
	Part I Introduction: Different Perspectives of the Evaluation of the Italian University System	13
	1 TES From Impressionism to Expressionism	14
	Lorenzo Bernardi	14
	1.1 Foreword: Excusatio Non Petita	14
	1.2 Pars Destruens: Accusatio Manifesta	15
	1.3 Pars Costruens: Non nova, Sed Nove	17
	1.3.1 Guiding Principles	17
	1.3.2 The Proposal: A First, Almost Utopian Design	21
	1.3.3 A Possible Design	23
	2 The Assessment of University Teaching by Students: TheOrganizational Perspective	26
	Luigi Enrico Golzio	26
	2.1 Assessment in Organisations	26
	2.2 Assessment by Students in Italian Universities	28
	2.3 Assessment by Students as an Organisational Process	29
	2.4 The Content of Assessment by Students	34
	2.5 The Case of the University of Sassari	39
	References	42
	3 University League Tables	43
	L. Bernardi, P. Bolzonello, and A. Tuzzi	43
	3.1 Introduction	43
	3.2 The Censis Ranking System	44
	3.3 Indicators for Evaluation and Measurement	45
	3.4 The Censis Data	47
	3.4.1 Normalization and Aggregation	47
	3.4.2 The Simple Indicators Used by Censis	48
	3.4.3 Preliminary Analysis	48
	3.5 Alternative Ways to Analyse the Data	52
	3.6 Results	55
	3.7 Conclusions	56
	References	60
	Part II The Evaluation in the Italian Universities: Student Teaching Evaluation	62
	4 Structural Equation Models and Student Evaluation of Teaching: A PLS Path Modeling Study	63
	Simona Balzano and Laura Trinchera	63
	4.1 Introduction	63
	4.2 PLS Approach to Structural Equation Models	64
	4.3 Applying PLS-PM to Students Evaluation of Teaching	67
	4.3.1 The Data and Model Specification	67
	4.3.2 The Results	69
	4.4 Concluding Remarks	73
	References	73
	5 A Study on University Students' Opinions about Teaching Quality: A Model Based Approach for Clustering Ordinal Data	75
	Marcella Corduas	75
	5.1 Introduction	75
	5.2 A Mixture Distribution for Ordinal Data	76
	5.3 The Kullback-Liebler Divergence	77
	5.4 Clustering	78
	5.5 The Analysis of Students' Opinions	79
	5.5.1 The Data Set	79
	5.5.2 The Results	80
	5.6 Final Remarks	84
	References	84
	6 The Impact of Teaching Evaluation: Factors that Favour Positive Views from Student Representatives	86
	Simone Gerzeli	86
	6.1 Introduction	86
	6.2 Methods	87
	6.2.1 Study Design	87
	6.2.2 Statistical Analysis	88
	6.3 Results	90
	6.3.1 Respondents	90
	6.3.2 The Availability and Discussion of the Teaching Evaluation Results	91
	6.3.3 Changes Induced by the Results of the Teaching Evaluation	93
	6.3.4 The Usefulness of the Teaching Evaluation as Perceived by the Student Representatives	94
	6.3.5 The Multilevel Regression Model	96
	6.4 Concluding Remarks	97
	References	99
	7 University Teaching and Students' Perception: Models of the Evaluation Process	100
	Maria Iannario and Domenico Piccolo	100
	7.1 Introduction	100
	7.2 Measurement of Students' Perception About Teaching Quality	101
	7.3 Perception and Rating as Complex Decisions	102
	7.4 Latent Variables and Item Response Theory	103
	7.5 An Alternative Model for the Evaluation Process	106
	7.5.1 Rationale for CUB Models	107
	7.5.2 CUB Models	107
	7.6 Empirical Evidences for University Teaching Evaluation	109
	7.6.1 CUB Models Without Covariates	109
	7.6.2 CUB Models with Covariates	111
	7.7 Concluding Remarks	114
	References	115
	8 Students' Evaluation of Teaching Effectiveness: Satisfaction and Related Factors	120
	Michele Lalla, Patrizio Frederic, and Davide Ferrari	120
	8.1 Introduction	120
	8.2 Literature Review	122
	8.3 Questionnaire and Data	124
	8.4 Models and Results	127
	8.5 Conclusions	134
	References	135
	Part III The Evaluation in the Italian Universities: Statistical Methods for Careers and Services Evaluation	137
	9 Modeling Ordinal Item Responses via Binary GLMMs and Alternative Link Functions: An Application to Measurement of a Perceived Service Quality	138
	Vito M.R. Muggeo and Fabio Aiello	138
	9.1 Introduction	138
	9.2 Data	139
	9.3 Methods	141
	9.3.1 The GLMM Framework	141
	9.3.2 Alternative Link Functions	142
	9.4 Results	143
	9.5 Conclusions	147
	References	148
	10 Analyzing Undergraduate Student Graduation Delay: ALongitudinal Perspective	149
	Paola Costantini and Maria Prosperina Vitale	149
	10.1 Introduction	149
	10.2 The Graduation Delay Issue	150
	10.3 Measuring and Analyzing Graduation Delay	151
	10.4 Defining a Longitudinal Graduation Delay Indicator	153
	10.5 Latent Curve Model to Monitor Student Careers	154
	10.6 A Case Study: The Delay Patterns of a Cohort of Undergraduate Students	155
	10.6.1 A Conditional Linear Latent Curve Model	156
	10.7 Some Concluding Remarks	162
	References	162
	11 Assessing the Quality of the Management of Degree Programsby Latent Class Analysis	164
	Isabella Sulis and Mariano Porcu	164
	11.1 Introduction	164
	11.2 Building up a Composite Indicator	164
	11.2.1 A Measure of the Perceived Quality of a University Service	165
	11.3 Methodological Issues	166
	11.3.1 Sorting Latent Classes	167
	11.4 The Application	167
	11.4.1 The Data	167
	11.4.2 The Analysis	169
	11.5 Final Remarks	174
	References	174
	Part IV Research Design and Data for Evaluation: University Between the High School and the L