Course in Project Management and Statistics

MARATONE 3rd Mandatory Training in Project Management and Statistics (16th – 20th June 2014 Milan, Italy)

Stelline 3 

Venues: Fondazione Stelline Centro Congressi, Corso Magneta 61, 20123 Milan, Italy; Carlo Besta Neurological Institute, Via Giovanni Celoria 11, Milan, Italy

Objectives:

The aim of this 5-day course was to prepare all Research Fellows with basic skills for research, at every stage from initial idea to dissemination. The course provided information on project management and advanced level in statistics. It is anticipated all above skills will be used by Research Fellows in their current and future research projects. The agenda for the training included sessions in project management and statistics.

Milan group photo

On a second day Dr Matilde Leonardi from the Institute of Carlo Besta organised a Building research: networks and tools workshop  that was attended by several external to the network researchers. Dr Matilde Leonardi started the workshop with a talk about research on the burden of the neurological disease. Various researchers from the Institute contributed and gave talks on how to organise research and publishing the results, Cochrane  and projects they are working on. Tadeusz Hawrot from European Brain Council  (EBC) talked about the Council’s contribution to the current brain research  in Europe and future projects within Horizon 2020. The last presentation was from Professor Alarcos Cieza who described challenges of health measurement.

Monday, June 16th 2014                                                                                   
 09:00 – 09:15    
 Welcome Alarcos Cieza, University of Southampton
09:15 – 10:3
How to become a good researcher, CFc Consulting, Milan 
10:30 – 11:00
Coffee Break
 11:00 – 13:00
 The research project, CFc Consulting, Milan
13:00 – 14:00
Lunch
 14:00 – 15:30
 Management and organisation of your research project;
 CFc Consulting, Milan
15:30 – 16:00
Coffee Break
 16:00 – 17:00
 Real cases; CFc Consulting, Milan
Tuesday, June 17th 2014                                                                                      
 09:00 – 10:00
Doing PhD thesis research: Statistics as a tool which will assist you in doing good quality research; overview of typical PhD thesis work and how knowledge of statistics can help; assessment of where everyone is in this process and what is needed in these workshops;  Paul Jose, Victoria University of Wellington
10:00 – 11:00
Characteristics of quantitative data: variances, standard deviations, covariances, correlations, distributions (skewness, kurtosis, transformations). Implications of this information for choice of statistical test; Paul Jose, Victoria University of Wellington
11:00 – 11:30
Coffee Break
 11:30 – 12:30
Basic statistical tests of mean group differences: chi-square, t-tests, analyses of variance (ANOVA, MANOVA, MANCOVA, repeated measures)
Basic statistical tests of associations: correlations, regression analyses (simultaneous inclusion; hierarchical; step-wise)
High-end statistical tests:  logistic regression; multi-level modelling (MLM); structural equation modelling
 Paul Jose, Victoria University of Wellington
12:30 – 13:30
Lunch
 14:30 – 18:00
Workshop:  Building research: networks and tools
Welcome and introduction: Research on the burden of neurological diseases – Matilde Leonardi
Organizing research and publishing results – Alberto Albanese
Cochrane network as a tool for evidence-based multidisciplinary research – Irene Tramacere
The national strategic plan on dementia: importance of developing translational research – Michela Morbin
European research on Epilepsy: how to build, develop, support and use networks – Giuliano Avanzini
Developing brain research in Europe: EBC and Horizon 2020 – Tadeusz Hawrot
The challenge of health measurement – Alarcos Cieza
Closing remarks – Matilde Leonardi
Wednesday, June 18th 2014                                                                               
 09:00 – 10:30
 Psychometric theory: reliability, different types of validity, classical measurement theory, Cronbach’s alpha, identification of good and bad measures; Paul Jose, Victoria University of Wellington
10:30 – 11:00
Coffee Break
 11:00 – 12:00
 Exploratory factor analysis (EFA): rationale of when to use it, different criteria to use in choosing a factor structure, how to read factor loadings; Paul Jose, Victoria University of Wellington
12:00 – 13:00
AMOS: Introduction to the use of SEM in AMOS, aligning the SPSS dataset with AMOS models, drawing models; Paul Jose, Victoria University of Wellington 
13:00 – 14:00
Lunch
 14:00 – 16:00
 CFA in AMOS: learning how to draw a confirmatory factor analysis in AMOS, model fit indices, error messages; Paul Jose, Victoria University of Wellington
16:00 – 17:00
Coffee and Individual consultations
Thursday, June 19th 2014                                                                      
 09:00 – 10:30
 Basic path models in AMOS: translation of regression models in SPSS to path models in AMOS, model specification and model error, basic additive path model; Paul Jose, Victoria University of Wellington
10:30 – 11:00
Coffee Break
 11:00 – 12:00
Variations on path models: multiplicative and sequential path models (moderation and mediation), logic and rationale for employing these variations; Paul Jose, Victoria University of Wellington 
12:00 – 13:00
Statistical mediation: how to set up and test a basic mediation model in AMOS, bootstrapping, common pitfalls and misunderstandings; Paul Jose, Victoria University of Wellington
13:00 – 14:00
Lunch
 14:00 – 16:00
 Statistical moderation: how to set up and test a basic moderation model in AMOS, common mistakes, learning how to graph and interpret moderation results; Paul Jose, Victoria University of Wellington
16:00 – 17:00
Coffee and individual consultations
Friday, June 20th 2014                                                                              
 09:00 – 10:30
Regression-based polynomial equations: trying to identify the presence of curvilinear relationships; Paul Jose, Victoria University of Wellington 
10:30 – 11:00
Coffee Break
 11:00 – 12:00
 Using graphing tools to graph polynomials; understanding that a polynomial relationship is a type of a moderation; Paul Jose, Victoria University of Wellington
12:00 – 13:00
Multilevel modeling: HLM-based mediation analyses of nested data; Paul Jose, Victoria University of Wellington 
13:00 – 14:00
Lunch
 14:30 – 16:00
Multilevel modeling: HLM-based moderation analyses of nested data: hybrid models; Paul Jose, Victoria University of Wellington 
16:00 – 17:00
Coffee and individual consultations