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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
INO 601ADVANCED RESEARCH METHODS IN FOREIGN LANGUAGE EDUCATION AND STATISTICS3 + 01st Semester10

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Compulsory
Course Objective To investigate the quantitative and qualitative methods used in foreign language education.
Course Content Desinging research, making assumptions, selecting the appropriate statistical method for the research question.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Students can use and explain advanced knowledge about research methods.
2Students review the literature in terms of research articles and design their own research.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14
LO 00155554553553355
LO 00255554553553355
Sub Total101010108101061010661010
Contribution55554553553355

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14456
Assignments71070
Mid-terms11515
Final examination12020
Presentation / Seminar Preparation7642
Report / Project11515
Total Work Load

ECTS Credit of the Course






260

10
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2019-2020 Fall1FİLİZ RIZAOĞLU


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
INO 601 ADVANCED RESEARCH METHODS IN FOREIGN LANGUAGE EDUCATION AND STATISTICS 3 + 0 1 Turkish 2019-2020 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. FİLİZ RIZAOĞLU frizaoglu@pau.edu.tr EGT A0208 %90
Goals To investigate the quantitative and qualitative methods used in foreign language education.
Content Desinging research, making assumptions, selecting the appropriate statistical method for the research question.
Topics
WeeksTopics
1 Review of fundamental concepts Research process/design Research questions Variable types Validity and reliability
2 Review of Experimental Research Article Critique Descriptive statistics Interpreting boxplots Introduction to the SPSS environment
3 Inferential statistics t-test, Dependent Samples t-test, Independent Samples
4 Correlational Research
5 Regression, Multiple Regression
6 Assumptions of Multiple Regression
7 Midterm
8 Multiple Regression Practice
9 Comparing several means: ANOVA (GLM 1)
10 Factorial ANOVA (GLM 3)
11 Factorial ANOVA (GLM 3)
12 Repeated Measures Designs (GLM 4)
13 Mixed design ANOVA
14 Review
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes