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Independant European SPSS User Group

York 2018 programme

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FRIDAY 2nd NOVEMBER 2018, ARRC, UNIVERSITY OF YORK

PROGRAMME

The 32nd annual IBM SPSS Statistics users group meeting was held at the Alcuin Research Resource Centre, University of York, on Friday 2nd November 2018. Links to workshop synopses below - timetable to follow.


PC Lab Course Room 1
  PARALLEL One day Course Sessions
 

9:30am to 11:30am

& 2:10pm to 4:30pm

An introduction to IBM SPSS for complete beginners by Keith Bentley, University of Salford In a buffet lunch, two coffee breaks,
1st coffee break after am course, 2nd mid-afternoon
PC Lab Course Room 2   PARALLEL half day Course Sessions  
  9:30am to 11:30am Correlation and Regression in IBM SPSS by Maria Pampaka, University of Manchester Inc coffee break after am course
  2:10pm to 4:30pm An introduction to Multilevel models in IBM SPSS by Laszlo Horvath & Raluca Popp, University of Exeter Inc. a coffee break mid-afternoon
Auditorium talks**      
  11:50am to 12:50pm
  • Statistical inference of binomial proportions using mixed models in IBM SPSS by Diana Kornbrot, University of Hertfordshire
  • Good data management in IBM SPSS V25 by Dusan Magula, IBM SPSS
 
Lunch      

Afternoon PLENARY talk

1:35pm – 2:05pm)
  • Joint Modelling of the mean and covariance structure in Longitudinal Data  using  R in SPSS by Gilbert MacKenzie, University of Limerick
 
       

Registration and coffee begins at 9-30am for the morning sessions and at 1-45pm for the afternoon sessions. Morning coffee and afternoon tea are included in the registration fee. A timetable will be e-mailed to delegates in advance.

The venue

Alcuin college view of Alcuin centre

The venue for both the workshops and the users' meeting is the Alcuin Research Resource Centre (ARRC) on York University campus located in Heslington, 2 miles to the south-east of the city centre. It takes 10-15 minutes in a taxi from the railway station. The Number 4 bus runs regularly to the University from York railway station University Parking and location details are on the York uni travel maps. Accommodation is bookable via tourist information on (01904) 621756 or (01904) 554455.