JiscMail Logo
Email discussion lists for the UK Education and Research communities

Help for ALLSTAT Archives


ALLSTAT Archives

ALLSTAT Archives


allstat@JISCMAIL.AC.UK


View:

Message:

[

First

|

Previous

|

Next

|

Last

]

By Topic:

[

First

|

Previous

|

Next

|

Last

]

By Author:

[

First

|

Previous

|

Next

|

Last

]

Font:

Proportional Font

LISTSERV Archives

LISTSERV Archives

ALLSTAT Home

ALLSTAT Home

ALLSTAT  April 2008

ALLSTAT April 2008

Options

Subscribe or Unsubscribe

Subscribe or Unsubscribe

Log In

Log In

Get Password

Get Password

Subject:

[ANNOUNCE] COURSES: data management using SPSS syntax // multilevel modelling using SPSS - Sheffield, 16/17 June

From:

Dr C B Stride <[log in to unmask]>

Reply-To:

Dr C B Stride <[log in to unmask]>

Date:

Fri, 25 Apr 2008 12:56:45 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (144 lines)

A quick advertisement for a pair of statistics and data management 
courses to be run by the new statistical consultancy unit at the 
Institute of Work Psychology, University of Sheffield, on Monday 16th 
June and Tuesday 17th June, 2008:

- Monday 16th June, 2008: Data management using SPSS syntax
- Tuesday 17th June, 2008: Multi-level Modelling using SPSS

Each course costs £250, but if you attend both you get a 50 pound discount

Details of the courses are given below: for further information and to 
book a place, go to 
http://www.offbeat.group.shef.ac.uk/FIO/trainingcourses.htm



** Course details are as follows: **

*-|-  Monday 16th June, 2008: Data management using SPSS syntax
-|-  9.45am to 5.15pm at the University of Sheffield *

-|-  Who is the course aimed at?
This course is aimed at a very wide audience, namely anyone who ever has 
to handle data using SPSS!

There are very few grey areas in managing data - your data is either 
accurate or it is not. And if it is not, then it is more than likely 
that the results from your analysis of it will be incorrect too. Learn 
to improve your data managment skills and hence create more time for the 
more interesting parts of a study i.e. the analysis of it, safe in the 
knowledge that you are working from an accurate, fully documented data set.

Using the SPSS syntax language to import, organise and manipulate your 
data is substantially more efficient time-wise than using the menus, and 
has the dual advantages of simple repeatability and of providing an 
audit trail for your work. Course examples and data sets will largely 
come from survey data, but the skills learned are applicable and widely 
transferable to an incredibly wide variety of scenarios.

-|-  Course level:
Whilst some previous experience of using SPSS via the menus (i.e. point 
and click) is expected, no previous experience in using the SPSS syntax 
language is required.

-|-  Course content and aims:
The course will cover the following topics:
- Starting with syntax - why use SPSS syntax, the bsics of writing and 
running syntax; determining when your command runs
- Some simple SPSS commands - opening and saving files, describing data 
via frequencies, descriptives and crosstabs
- Reading data into SPSS from other formats - handling text format, 
Excel format data,
- Defining and documenting data, variable names, variable labels, value 
labels, missing value, formatting data
- Creating new variables - recoding, computing, count, performing 
calculations on subsets via DO IF - END IF, making multiple calculations 
using DO REPEAT loops
- Manipulating cases - selecting subsets of data for analysis, filtering 
files, splitting files, sorting cases
- Manipulating files - aggregating files, restructuring files, matching 
files, adding cases, updating files
- Data Management: a worked example - best practice for creating and 
managing a complex data set

-|-  Course format:
The course will take the form of a mixture of teaching via examples 
worked through by the trainer on real data sets which participants can 
follow, exercises to practice the skills just learned, and a few short 
demonstrations of the further capabilities of SPSS syntax.

You will also receive a coursebook containg all the notes and worked 
examples, providing an easy reference and reminder for the techniques 
you have learned. With a maximum of 16 people on the course there will 
be plenty of scope and time for answering questions.

-|-  Course schedule:
The course will start at 9.45am, with a lunch break from 1pm-2pm, and 
short coffee breaks at 11.30am and 3.30pm. It will finish at around 5pm, 
though I will be willing to stay on for a while after this and to answer 
questions pertinent to participants' own data sets or any other SPSS 
syntax based queries you may have.

-|-  For further information and to book a place, go to 
http://www.offbeat.group.shef.ac.uk/FIO/trainingcourses.htm



*-|-  Tuesday 17th June, 2008: Multi-level Modelling using SPSS
-|-  9.45am to 5.15pm at the University of Sheffield *

-|-  Who is the course aimed at?
This course is aimed at two distinct groups. It is primarily designed as 
a beginners' course in multi-level modelling (AKA Hierarchical Linear 
Modelling), for those who face the challenge of working with multi-level 
data sets and want to be able to analyse them in the most powerful and 
accurate way.

However it should also appeal to those with a little experience of 
multi-level modelling using other specialist packages who now want to 
learn how to run such models in SPSS using the MIXED MODELS menu and 
commands.

-|-  Course level:
A reasonable working knowledge of multiple regression and some previous 
experience of using SPSS to perform statistical analysis is expected. No 
previous experience of multi-level modelling will be assumed.

-|-  Course content and aims:
The course will cover the following topics:
- Introduction to multi-level data - what it is and why it requires 
special treatment
- Restructuring Data in preparation for multi-level modelling
- What is a multi-level model?
- Building and fitting a multi-level model in SPSS
- Further issues in multi-level modelling: centering, sample size and 
scaling
- Advanced multi-level models: analysing longitudinal data and 
cross-sectional data using multi-level modelling in SPSS

-|-  Course format:
The course comprises of a mixture of short lectures on the basic theory 
behind multi-level models, teaching via examples worked through by the 
trainer on real data sets which participants can follow, and exercises 
to practice the skills just learned. You will also receive a coursebook 
containing all the notes and worked examples, providing an easy 
reference and reminder for the techniques you have learned.

With a maximum of 16 people on the course there will be plenty of scope 
and time for answering questions.

-|-  Course schedule:
The course will start at 9.45am, with a lunch break from 1pm-2pm, and 
short coffee breaks at 11.30am and 3.30pm. It will finish at around 5pm, 
though I will be willing to stay on for a while after this and to answer 
questions pertinent to participants' own data sets.

-|-  For further information and to book a place, go to 
http://www.offbeat.group.shef.ac.uk/FIO/trainingcourses.htm


***************************************

www.figureitout.org.uk

Top of Message | Previous Page | Permalink

JiscMail Tools


RSS Feeds and Sharing


Advanced Options


Archives

April 2024
March 2024
February 2024
January 2024
December 2023
November 2023
October 2023
September 2023
August 2023
July 2023
June 2023
May 2023
April 2023
March 2023
February 2023
January 2023
December 2022
November 2022
October 2022
September 2022
August 2022
July 2022
June 2022
May 2022
April 2022
March 2022
February 2022
January 2022
December 2021
November 2021
October 2021
September 2021
August 2021
July 2021
June 2021
May 2021
April 2021
March 2021
February 2021
January 2021
December 2020
November 2020
October 2020
September 2020
August 2020
July 2020
June 2020
May 2020
April 2020
March 2020
February 2020
January 2020
December 2019
November 2019
October 2019
September 2019
August 2019
July 2019
June 2019
May 2019
April 2019
March 2019
February 2019
January 2019
December 2018
November 2018
October 2018
September 2018
August 2018
July 2018
June 2018
May 2018
April 2018
March 2018
February 2018
January 2018
December 2017
November 2017
October 2017
September 2017
August 2017
July 2017
June 2017
May 2017
April 2017
March 2017
February 2017
January 2017
December 2016
November 2016
October 2016
September 2016
August 2016
July 2016
June 2016
May 2016
April 2016
March 2016
February 2016
January 2016
December 2015
November 2015
October 2015
September 2015
August 2015
July 2015
June 2015
May 2015
April 2015
March 2015
February 2015
January 2015
December 2014
November 2014
October 2014
September 2014
August 2014
July 2014
June 2014
May 2014
April 2014
March 2014
February 2014
January 2014
December 2013
November 2013
October 2013
September 2013
August 2013
July 2013
June 2013
May 2013
April 2013
March 2013
February 2013
January 2013
December 2012
November 2012
October 2012
September 2012
August 2012
July 2012
June 2012
May 2012
April 2012
March 2012
February 2012
January 2012
December 2011
November 2011
October 2011
September 2011
August 2011
July 2011
June 2011
May 2011
April 2011
March 2011
February 2011
January 2011
December 2010
November 2010
October 2010
September 2010
August 2010
July 2010
June 2010
May 2010
April 2010
March 2010
February 2010
January 2010
December 2009
November 2009
October 2009
September 2009
August 2009
July 2009
June 2009
May 2009
April 2009
March 2009
February 2009
January 2009
December 2008
November 2008
October 2008
September 2008
August 2008
July 2008
June 2008
May 2008
April 2008
March 2008
February 2008
January 2008
December 2007
November 2007
October 2007
September 2007
August 2007
July 2007
June 2007
May 2007
April 2007
March 2007
February 2007
January 2007
2006
2005
2004
2003
2002
2001
2000
1999
1998


JiscMail is a Jisc service.

View our service policies at https://www.jiscmail.ac.uk/policyandsecurity/ and Jisc's privacy policy at https://www.jisc.ac.uk/website/privacy-notice

For help and support help@jisc.ac.uk

Secured by F-Secure Anti-Virus CataList Email List Search Powered by the LISTSERV Email List Manager