[Logo] ASSESS
Independant European SPSS User Group
9

York 2019 programme

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FRIDAY 25th October 2019, ARRC, UNIVERSITY OF YORK

PROGRAMME

The 33rd annual IBM SPSS Statistics users group meeting was held at the Alcuin Research Resource Centre, University of York, on Friday 25th October 2019. Links to workshop synopses 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 DEALING WITH MISSING DATA IN RESEARCH STUDIES
by Centre for Applied Statistics, University College London
Inc. buffet lunch & two coffee breaks (1st after am course, 2nd mid-afternoon
PC Lab Course Room 2   PARALLEL half day Course Sessions  
  9:30am to 11:30am AN INTRODUCTION TO MULTILEVEL MODELS IN IBM SPSS
by Laszlo Horvath & Raluca Popp, University of Exeter
Inc. coffee break after am course
  2:10pm to 4:30pm AN INTRODUCTION TO SAMPLE SIZE CALCULATIONS FOR POWER ANALYSIS IN IBM SPSS
by
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
 
Lunch      

Afternoon PLENARY talk

1:35pm to 2:05pm)
  • Easy ways to mislead yourself with missing data and how to avoid
    by Laurence Moseley, University of South Wales
  • New features in IBM SPSS V26
    by Dusan Magula, IBM SPSS
 
Close 4:30    
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.