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Stata Fast Track Workshop

Date:

06/03/2014 - 07/03/2014

Organised by:

AQMeN/ University of Edinburgh

Presenter:

Professor Vernon Gayle

Level:

Intermediate (some prior knowledge)

Contact:

AQMeN - info@aqmen.ac.uk

Map:

View in Google Maps  (EH8 9LN)

Venue:

AQMeN
The University of Edinburgh
Room 2.50
15 Buccleuch Place
Edinburgh

Description:

Stata Fast Track Workshop - Thursday, March 6, 2014 - Friday, March 7, 2014

This two-day workshop will provide an intensive 'fast-track' introduction to Stata led by Professor Vernon Gayle from the University of Edinburgh.

The course will run over two days with refreshments, and lunch provided on each day.

The course will involve short professional demonstrations followed by participants practising in short sessions throughout the day. The following topics will be covered :-

  • Setting Up Stata
  • Loading Data Files into Stata
  • Summary Statistics
  • Cross-tabulations
  • Metric and Categorical Variables
  • Correlations
  • Linear Regression
  • Logistic Regression Models
  • Multinomial Logistic Regression Models
  • Data Management
  • Graphing Data

The course is appropriate for people with some experience of data analysis who wish to use Stata. 

For further information and to apply please use the following link: https://www.aqmen.ac.uk/events/Mar2014/StataFastTrack

Cost:

This training course is offered free of charge to doctoral students registered on a social science degree programme at a Scottish University or to doctoral students studying at an ESRC-funded DTC (see above).

Remaining places will be open to others for a fee:
Doctoral students studying at a non-DTC institution £60
Academic staff, ESRC funded researchers and UK registered charitable organisations £120
Others £440

Please note that AQMeN can only accept payment for training via the University of Edinburgh ePay system. We are unable to issue invoices or accept cheques for payment. All credit card payments must be received a minimum of 14 days prior to the start of the course and are non-refundable. Payment should not be made until you have received confirmation that you have been allocated a place on the course.

Website and registration:

Region:

Scotland

Keywords:

Quality in Quantitative Research, Quantitative Data Handling and Data Analysis, Quantitative Approaches (other)

Related publications and presentations:

Quality in Quantitative Research
Quantitative Data Handling and Data Analysis
Quantitative Approaches (other)

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