[Events] Research Methodology and Statistical Courses for Poastgraduate Research Students

Anne.O'Dwyer Anne.Odwyer at staffmail.ul.ie
Tue Dec 8 09:02:16 GMT 2009


Statistical Consulting Unit (SCU)


 

 


 


Research Methodology and Statistical Courses 


Further quantitative methods courses are being offered by the
Statistical Consulting Unit(SCU)in January 2010 to staff and
post-graduate students at UL. The course list and dates are as below. 

 

These courses can be taken in any combination depending on your
requirements. Please note that courses 4 and 5 are the same therefore
only one of these days should be enrolled for. Please email 
anne.odwyer at ul.ie <mailto:anne.odwyer at ul.ie>  to enrol.

  

 

All of the courses are stand alone and can therefore be taken on their
own.

 

All courses will run between 9:30 and 4:30 on each day with breaks for
lunch and tea/coffee (which will be provided). There will be a limit on
the number of attendees for each of these courses so early registration
would be advisable. You will be provided with a full set of course notes
for each course. No reminders will be sent to you so please make a note
of date and venue when you enrol.

People should only enrol if they will definitely be attending as
otherwise they are preventing other people from enrolling.

 

 

Full Course List

Research Methodology and Statistical Courses offered by the SCU 

(January 2010)

 

1. Questionnaire Design (Monday 11/01/10)

Duration:           1 day      

This introductory course covers the basic elements of questionnaire
design and question wording. The different requirements for postal and
interview questionnaires will be emphasised and practical exercises will
be given in question wording. Various modes of presentation will be
described. Some suggestions for ways of improving response rates will
also be given. 

 

Venue: John Holland Lecture Theatre in the main building (D1050).

 

 

2. Introductory SPSS (Tuesday 12/01/10)

Duration:         1 day   

This course provides an intensive introduction to SPSS.  It assumes that
participants will have a basic familiarity with the Windows environment.
We will examine the features of SPSS for Windows, use a simple data set
to cover the topics of transforming variables, selecting data for
analysis, then perform basic analyses to produce frequency
distributions, summary statistics and cross tabulations before examining
some of the extensive graphic capabilities of SPSS. This course would
provide an introduction to anyone wishing to analyse their own data
using SPSS.

 

Venue: Maths Lab in the main building (C2062). 

 

 

3. Basic Statistics for Researchers 

(Thursday 14/01/10 & Friday 15/01/10)

Duration:          2 days

A Basic Statistics course covering the basic methods of analysis needed
for quantitative research. Most researchers would find the material
covered would be sufficient to analyse any data gathered as part of
their research (both categorical/qualitative and continuous/scalar/ratio
variables). A mix of practice and theory. No prior knowledge of
statistics is assumed although you will require a basic knowledge of
using SPSS and/or other statistical software packages (e.g. attendance
at course 3 or 4 would be sufficient). The course examples will be
mainly using data from the sciences or medical fields but others should
also find the course useful. Subjects covered include:

 

Sampling

Data analysis - an overview; Types of data; Scales of data measurement;
Coding questionnaire data

Describing data using graphical and numerical methods

Normal Probability distributions

Confidence Intervals and Hypothesis Testing (Parametric and
non-parametric)

Multivariable analysis - Categorical variables - Chi-squared Tests

Multivariable analysis - Quantitative (continuous) variables - Scatter
plots, correlation and regression.

Venue: Maths Lab in the main building (C2062).

 

4. Introduction to NVIVO (Qualitative data Analysis) 

(Tuesday 19/01/10)

Duration: 1 day

 

Presented by Ben Meehan (Digital Courseware)

 

The objective of the course is to equip the group with enough knowledge
to enable people to begin their project using a computer-aided
methodology. By the end of the workshop they will understand the
advantages and limitations of using a computer for qualitative data
analyses and will know how to set-up a database, how to import data and
how to code data. They will also understand the potential of NVivo as a
tool for organising, questioning and reporting on the data so that they
can truly support and defend their findings. 

The depth and breadth to which these topics will be covered covered will
depend on the general level of computer literacy of the group coupled
with their experience, if any, of using databases designed for working
with qualitative or unstructured data. Participants are encouraged to
bring their own data if they have some. Otherwise, tutorial data will be
provided on the day.

(For further information on course  please contact Dr Jean Saunders (
jean.saunders at ul.ie <mailto:jean.saunders at ul.ie> ))

Venue: Maths Lab in the main building (C2062).

 

5. Introduction to NVIVO (Qualitative data Analysis)

(Wednesday 20/01/10)

Duration:         1 day 

 

Presented by Ben Meehan (Digital Courseware)

  

This is a repeat of the course offered on Tuesday 19/01/10

 

The objective of the course is to equip the group with enough knowledge
to enable people to begin their project using a computer-aided
methodology. By the end of the workshop they will understand the
advantages and limitations of using a computer for qualitative data
analyses and will know how to set-up a database, how to import data and
how to code data. They will also understand the potential of NVivo as a
tool for organising, questioning and reporting on the data so that they
can truly support and defend their findings. 

The depth and breadth to which these topics will be covered covered will
depend on the general level of computer literacy of the group coupled
with their experience, if any, of using databases designed for working
with qualitative or unstructured data. Participants are encouraged to
bring their own data if they have some. Otherwise, tutorial data will be
provided on the day.

(For further information on course please contact Dr Jean Saunders (
jean.saunders at ul.ie <mailto:jean.saunders at ul.ie> ))

Venue: Maths Lab in the main building (C2062).

 

6. Structural Equation Modelling using LISREL

(Thursday 21/01/10 & Friday 22/01/10)

Presented by Mark Shevlin (University of Ulster)
Duration:         2 days

 

This workshop will examine the historical and statistical foundations of
structural equation modelling (SEM), and introduce the ideas associated
with measurement models and confirmatory factor analysis (CFA). The
specification, estimation and interpretation of CFA's will be
demonstrated. In addition the use of PRELIS, a pre-processor for LISREL,
will be demonstrated. Many statistical models can be specified and
estimated using PRELIS. 

 

The full LISREL model incorporates aspects of factor analysis and path
analysis. It allows the estimation of relationships at the latent,
rather than observed, level. SEM is a largely confirmatory, rather than
exploratory, technique and the various approaches to modelling data will
be addressed. The issue of model fit will be addressed in detail.

 

The course will be delivered by means of lectures and hands-on practical
work. The final session of each day will include a question and answers
session. There will be an opportunity for everyone to discuss his or her
own research interests. 

Suggested reading: Loehlin, John C. (2004). Latent Variable Models: An
Introduction to Factor, Path, and Structural Analysis. 4th ed. Mahwah,
N.J.: Lawrence Erlbaum Associates.

 

Venue: Maths Lab in the main building (C2062).

 

 

To register for the above, please e-mail anne.odwyer at ul.ie stating
course title and date. No reminders will be sent to you so please make a
note of date and venue when you enrol.

 

For further information on any of these courses please contact:

 

Dr Jean Saunders 
Executive Director 
Statistical Consulting Unit 
GEMS & Department of Mathematics and Statistics
University of Limerick 
Tel: 00353-61-213471 
Mob: 00353-86-3866353 
Fax: 00353-61-334927 
email: jean.saunders at ul.ie

 

 

 

 

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