Hi everyone, Please find details below of our annual SPSS meeting. All welcome! Peter
ASSESS: 33RD ANNUAL IBM SPSS STATISTICS USERS CONFERENCE
FRIDAY 25TH OCTOBER 2019
ALCUIN RESEARCH RESOURCE CENTRE
UNIVERSITY OF YORK, YORK
(Further details including a booking form are
at http://www.spssusers.co.uk/Events/2019/confprog.html)
EVENTS:
AN INTRODUCTION TO DEALING WITH MISSING DATA IN RESEARCH STUDIES
PARALLEL ONE-DAY WORKSHOP 9-30AM TO (APPROX) 11-30AM AND CONTINUING 2-10PM TO 4-30PM
ALCUIN RESEARCH RESOURCE CENTRE
UNIVERSITY OF YORK, YORK
AN INTRODUCTION TO MULTILEVEL MODELS IN IBM SPSS
PARALLEL HALF-DAY WORKSHOP 9-30AM TO (APPROX) 11-30AM
ALCUIN RESEARCH RESOURCE CENTRE
UNIVERSITY OF YORK, YORK
FIRST STEPS IN SPSS SYNTAX
PARALLEL HALF-DAY WORKSHOP 2-10PM TO (APPROX) 4-30PM
ALCUIN RESEARCH RESOURCE CENTRE
UNIVERSITY OF YORK, YORK
IBM SPSS STATISTICS USERS PLENARY TALK SESSIONS 11-50AM TO 12-20PM AND 1-00PM TO 2-15PM
THREE USER PRESENTATIONS USING IBM SPSS STATISTICS RELATED TO THE COURSE TOPICS
FRIDAY 25TH OCTOBER 2019, UNIVERSITY OF YORK, UK
ALCUIN RESEARCH RESOURCE CENTRE
UNIVERSITY OF YORK, YORK
ASSESS is an independent user led group for IBM SPSS Statistics,
a computer package for analysing and presenting data. Recent ASSESS workshop
topics include IBM SPSS Statistics syntax,
Logistic regression and Hospital Episode Statistics.
Two workshops together with a day of IBM SPSS Statistics User presentations are provisionally planned to be held
at the Alcuin Research Resource Centre, University of York, on Friday 25TH OCTOBER 2019.
The workshops will be taught in an interactive hands-on workshop-style format,
with frequent examples. All example files and notes will be given to all workshop attenders
(on USB sticks). There will also be printed handouts at the user talk sessions but not
for the workshops. In addition there will be a plenary talks on course topics open to
which will take place between the morning and afternoon parallel course sessions.
The Centre for Applied Statistics is based at University College London. A member will lead the 'missing data' course. This course is aimed at anyone who encounters missing data as part of their research. It introduces understanding the invalid and misleading conclusions that can be drawn by ignoring missing data and methods of handling them.
Laszlo Horvath and Raluca Popp are associate lecturers in quantitative politics members at the University
of Exeter and teach statistics courses as part of the Q-Step data analysis workshop series. Their multilevel
morning course is aimed at people already familiar with regression.
Helen Gray from the school of education at the University of Durham will lead the SPSS syntax afternoon course
aimed at people new to syntax.
The booking fee includes a coffee break mid-morning and mid-afternoon but not overnight accommodation.
A buffet lunch is available and is included for those attending both a morning and
an afternoon event. Further details will be sent to delegates upon receipt of booking forms.
Come along to:
* obtain training in using IBM SPSS Statistics from experienced tutors who are fellow users
* learn about statistical methods used for data analysis in IBM SPSS Statistics
* exchange ideas with other IBM SPSS Statistics users
* plan for an even better user group and suggest events for 2020
The venue for both the workshops and user (presentations) 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 (see
http://www.yorkshiretravel.net/). Parking at the University is very difficult.
Location details are at http://www.york.ac.uk/about/maps/. Accommodation is
bookable via tourist information on (01904) 621756 or (01904) 554455.
PROVISIONAL PROGRAMME FOR THE USERS MEETING**
Morning PLENARY Talk (11-50am to 12-20pm)
* Statistical inference of binomial proportions using mixed models in IBM SPSS by Diana Kornbrot, University of Hertfordshire
Lunch
Afternoon PLENARY talks session (1pm - 2-15pm)
* Easy ways to mislead yourself with missing data and how to avoid them by Laurence Moseley, University of South Wales
* New features in IBM SPSS version 26 by Dusan Magula, IBM SPSS
Registration begins at 9-30am for the morning sessions and at 2-05pm 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 titles and order of events are subject to amendment.
--------------------------------------------------------------------------------
BOOKING FORM
PARALLEL COURSE SESSIONS:
ASSESS WORKSHOP STARTING IN THE MORNING AND CONTINUING IN THE AFTERNOON:
AN INTRODUCTION TO DEALING WITH MISSING DATA IN RESEARCH STUDIES
FRIDAY 25TH OCTOBER 2019, ARRC, University of York: 9-30am to 11-30am and 2-10pm to (approx) 4-30pm
ASSESS MORNING WORKSHOP:
AN INTRODUCTION TO MULTILEVEL MODELS IN IBM SPSS
FRIDAY 25TH OCTOBER 2019, ARRC, University of York: 9-30am to 11-30am
ASSESS AFTERNOON WORKSHOP:
FIRST STEPS IN SPSS SYNTAX
FRIDAY 25TH OCTOBER 2019, ARRC, University of York: 2-10pm to (approx) 4-30pm
PLENARY TALK SESSIONS:
IBM SPSS STATISTICS USER PRESENTATIONS MORNING AND AFTERNOON BETWEEN THE MORNING AND AFTERNOON COURSE SESSIONS
FRIDAY 25TH OCTOBER 2019, ARRC, University of York: 11-50am to 12-20pm and 1-00pm to 2-15pm
Important:
Bookings will not be treated as firm until a cheque or official (company) order,
payable to ASSESS, is received.
Note payment can also be made by BACS but not by credit card. Details on request.
Please indicate if you require a receipt of payment.
Deadline for bookings: Friday 11th October 2019.
Please note we reserve the right to cancel the workshops and/or user sessions
if there are insufficient numbers.
Name: ______________________________ Tel: ____________________
Email: ______________________________ Fax: ____________________
Job Title: ___________________________________
Organization: ___________________________________
Address: ___________________________________________________
___________________________________________________
_______________________ Postcode _______________
Names of attendees & event(s) they wish to attend (Please delete as appropriate):
(Names for badges)
(Please note morning and afternoon course sessions are NOT identical and cover different topics).
1. _________________________ Event(s):
An introduction to dealing with missing data in research studies (morning session)
/An introduction to multilevel models in IBM SPSS
/An introduction to dealing with missing data in research studies (afternoon session)
/First steps in SPSS syntax
2. _________________________ Event(s):
An introduction to dealing with missing data in research studies (morning session)
/An introduction to multilevel models in IBM SPSS
/An introduction to dealing with missing data in research studies (afternoon session)
/First steps in SPSS syntax
3. _________________________ Event(s):
An introduction to dealing with missing data in research studies (morning session)
/An introduction to multilevel models in IBM SPSS
/An introduction to dealing with missing data in research studies (afternoon session)
/First steps in SPSS syntax
4._________________________ Event(s):
An introduction to dealing with missing data in research studies (morning session)
/An introduction to multilevel models in IBM SPSS
/An introduction to dealing with missing data in research studies (afternoon session)
/First steps in SPSS syntax
5. _________________________ Event(s):
An introduction to dealing with missing data in research studies (morning session)
/An introduction to multilevel models in IBM SPSS
/An introduction to dealing with missing data in research studies (afternoon session)
/First steps in SPSS syntax
(Please enter the appropriate amounts below and delete as appropriate)
Either 'An introduction to dealing with missing data in research studies' (morning session) or
'An introduction to multilevel models in IBM SPSS'
workshop plus morning plenary talks
£90 (First delegate) £70 (Subsequent delegate) £40 (Students or Retired)
Either 'An introduction to dealing with missing data in research studies' (afternoon session) or
'An introduction to sample size calculations for power analysis'
workshop plus afternoon plenary talk
£90 (First delegate) £70 (Subsequent delegate) £40 (Students or Retired)
Morning and afternoon workshop sessions plus three plenary talks (includes lunch)
£160 (First delegate) £130 (Subsequent delegate) £75 (Students or Retired)
Lunch before or after a morning OR afternoon workshop and talk session
£10 (First delegate) £10 (Subsequent delegate) £5 (Students or Retired)
GRAND TOTAL
If having Lunch: Specify vegetarian or other dietary requirements, if any:
________________________________________________________________
Cheque or official order enclosed for _______GBP
For official orders please also give here the number and address for invoicing:
________________________________________________________________
________________________________________________________________
________________________________________________________________
(Please indicate if you require a receipt of payment)
Return completed forms to Peter Watson, ASSESS, 15 Chaucer Road, Cambridge CB2 7EF
by FRIDAY 11TH OCTOBER 2019.
Telephone enquiries about bookings: 01223 766166 x69479 or 01223 769479 (direct line)
(has an answerphone).
E-mail enquiries about bookings: [log in to unmask]
(important:put 'ASSESS' in the Subject field)
---------------------------------------------------------------------------
For more courses on statistics and IBM SPSS Statistics training see http://www.figureitout.org.uk
and https://www.datasolutionservices.co.uk/statistics. We are on Facebook: https://www.facebook.com/groups/assess.
----------------------------------------------------------------------------------------
Peter Watson
MRC Cognition & Brain Sciences Unit
University of Cambridge
15 Chaucer Road
Cambridge
CB2 7EF
Telephone: +44 (0) 1223 766166 x69479 or +44 (0) 1223 273712 or +44 (0) 1223 769479 (both direct)
Fax +44 (0) 1223) 359062
You may leave the list at any time by sending the command
SIGNOFF allstat
to [log in to unmask], leaving the subject line blank.
