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ANNOUNCE: SPSS ONE DAY CONFERENCE: COURSES AND TALKS ON IN YORK ON FRIDAY 25TH OCTOBER 2019

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Peter Watson-7

ANNOUNCE: SPSS ONE DAY CONFERENCE: COURSES AND TALKS ON IN YORK ON FRIDAY 25TH OCTOBER 2019

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)