LET-TWM402
Methods in Language Research
Course infoSchedule
Course moduleLET-TWM402
Credits (ECTS)5
Category-
Language of instructionEnglish
Offered byRadboud University; Faculty of Arts; Linguistics;
Lecturer(s)
PreviousNext 1
Lecturer
S.A. Mooijman, MA
Other course modules lecturer
Lecturer
dr. S. Sadowski
Other course modules lecturer
Lecturer
dr. R.M. Willems
Other course modules lecturer
Examiner
dr. R.M. Willems
Other course modules lecturer
Coordinator
dr. R.M. Willems
Other course modules lecturer
Academic year2021
Period
PER 1  (30/08/2021 to 07/11/2021)
Starting block
PER 1/  PER 3
Course mode
full-time
Remarks-
Registration using OSIRISYes
Course open to students from other facultiesYes
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims
In this course we will cover the basics of experimental design and statistical analysis as applicable to linguistics. The course is at the entry level in order to make sure that all students will have a firm basic understanding of statistics at the end of the course. For students who already took statistics classes this may mean that there will be some overlap between this course and their previous courses. We will cover descriptive statistics, the theory of null hypothesis testing, T-test, and some other statistical techniques. The main aim is for students to get an understanding on the conceptual background of statistics and to see how experimental design and statistical analysis are related to each other.
Content
Statistics and quantitative research methodology are important aspects of the Linguistics master. Research methodology and statistics are incorporated in the Nijmegen BA program in linguistics, but students with a different background might need some additional tutoring in these areas.
Master students taking this course will be able to design research adequately, evaluate basic properties of measurements and perform basic statistic tests on empirical data, gathered by means of language experiments or surveys.
We will cover the basics of statistical background, its (often confusing) terminology, and standard statistical tests. Example tests are T-test, Chi square test, correlation, and linear regression. After this course you will be confident in understanding and using statistical measures and tests. Each week there will be a theory-oriented lecture and a hands-on practice session.

Data
The data that will be used for the assignments can be found on Brightspace (content, assignments)

Software
JASP is an easy-to-use spreadsheet program for doing statistics. It includes all the techniques and tests that we need for this course and produces easy to understand output. JASP comes as freeware, and can be downloaded here:
https://jasp-stats.org/download/

Level

Presumed foreknowledge

Test information

Specifics

Required materials
Book
Navarro, D.J., Foxcroft, D.R., & Faulkenberry, T.J. (2019). Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners. https://learnstatswithjasp.com/
Title:Learning statistics with JASP
Author:Navarro, Foxcroft & Faulkenberg

Instructional modes
At-home PER1 gel1
Attendance MandatoryYes

At-home PER2 gel2
Attendance MandatoryYes

Lecture

Seminar

Tests
Written exam
Test weight70
Test typeWritten exam
OpportunitiesBlock PER 1, Block PER 2

Minimum grade
5,5

Assignments
Test weight30
Test typeProject
OpportunitiesBlock PER 1, Block PER 2

Minimum grade
5,5