LINGUIST List 20.1740
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Wed May 06 2009
Confs: Applied Linguistics/Belgium
Editor for this issue: Stephanie Morse
<morse linguistlist.org>
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Directory
1. Ann
Aerts,
Summer School on Research Methods in Language Learning
Message 1: Summer School on Research Methods in Language Learning
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Date: 06-May-2009
From: Ann Aerts <ann.aertsua.ac.be>
Subject: Summer School on Research Methods in Language Learning
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Summer School on Research Methods in Language Learning
Date: 16-Aug-2009 - 20-Aug-2009
Location: Antwerp, Belgium
Contact: Ann Aerts
Contact Email: < click here to access email >
Meeting URL: http://summerschool.linguapolis.be
Linguistic Field(s): Applied Linguistics
Meeting Description:
LINGUAPOLIS is proud to announce its first Summer School on qualitative and
quantitative research methods in language learning and teaching:
A Toolbox for Design-Based Research
University of Antwerp, 16 to 20 August 2009.
Lecturers are Sven De Maeyer, PhD, and Vincent Donche, PhD (Institute for
Education and Information Sciences, University of Antwerp).
The course will focus on methodological considerations in designing and
conducting empirical research. We will highlight the practical issues involved
in the use of qualitative and quantitative research methods. Insight will be
given into the most commonly used data-collection techniques such as surveys,
interviews, and observation. Further we will analyse how to generate more data-
driven conclusions.
The target group are researchers in language learning and teaching who need to
investigate user data or results of specific design practices and experiments
in a more evidence-based manner.
The number of participants is limited to 25. Timely registration (or reservation) is therefore necessary.
Check http://summerschool.linguapolis.be for more information and registration
or contact ann.aertsua.ac.be
Kind regards,
Jozef Colpaert, director
Ann Aerts, event manager
Course Outline
1. Introduction: What is design-based research? When is it appropriate?
2. Research Designs: Which research design can be chosen? When and why?
Quantitative:
- various experiment designs and their respected pros and cons
Qualitative:
- various designs and techniques
3. Measurement: Collecting more reliable and valid evidence
Quantitative:
- Direct and indirect measurement
- Variables and measurement levels
- The basics of scale development, with a focus on dimensionality, reliability,
and validity (SPSS: short introduction on factor analysis)
Qualitative:
- Open survey/logbooks
- Thinking up protocols out loud
- Observation and stimulated recall
- Interview
- Triangulation
4. Analysing: Generating more data-driven conclusions
Quantitative:
- Parameters of central density and variability (arithmetic mean, variance, and
standard deviation)
- Sampling theory
- T-test
- Analysis of variance
- Correlation
- Analysis of covariance
Qualitative:
- Content analysis
- Coding (inductive/deductive)
- Quantification
- Comparative analysis
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