ADVANCED QUANTITATIVE RESEARCH METHODS

SOC603

Course Code: SOC603
Semester: First Term (Fall)
Theory+Practice: 3 + 0
ECTS: 10

Course Type

Compulsory Course

Course Level

Doctorate Of Science

Year of Study

Semester

First Term (Fall)

ECTS

Name of Lecturer(s)

Professor Müzeyyen Aytül Kasapoğlu

Learning Outcomes

At the end of this course, the students;

will be able to prepare a research proposal in accordance with positivist epistemology, develop measurement devices to be used, collect data from the field using them, analyze and report.
will be able to learn parametric statistical tests with SPSS program.
To make inference and predictions based on multivariate and multilevel modeling.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

Course Description

The main aim of this course is to prepare a research proposal, to develop measurement instruments to be used in the proposal, to collect data from the field, to analyze and report them. For this purpose, the students will learn how to develop scale at different levels, to make validity and reliability calculations and to interpret the quantitative data they collect with parametric materiality tests (eg ANOVA, MANOVA, Factor Analysis, etc.). Students will gain knowledge about Excel and SPSS programs. Students will also be informed about Mixed Design research plans.

Course Contents

WEEK	TOPICS
1^st Week	Course introduction
2^nd Week	Comparison of methodological approaches in sociology
3^rd Week	Positivist epistemology: Durkheim and the Neo-Durkhemists
4^th Week	Criticism of positivism and discussions of Post-positivism
5^th Week	Research process and new discussions in social sciences
6^th Week	Stages of research proposal (including problem writing, objectives, assumptions, and method)
7^th Week	Midterm
8^th Week	Critical evaluation of examples of advanced quantitative research from around the world
9^th Week	Critical evaluation of examples of advanced quantitative research from Turkey
10^th Week	Modeling, inference, and predicting in quantitative research
11^th Week	Planning a unique multivariate quantitative research
12^th Week	Developing a unique multivariate and multilevel quantitative research measurement tool, validity and reliability, analysis, inference and prediction
13^th Week	Data collection and analysis.
14^th Week	Results report sharing and General Evaluation

Recommended or Required Reading

Andrew ,G., Hill,J. (2007) Regression and Multilevel
Hierarchical Model. Cambridge: Cambridge University Press.

Creswell,J. Mixed Design.

De Leeuw,J., Meijer,E., (eds) Handbook of Multilevel Analysisi .New York: Springer.

Fox, J. (2000) Applied Regression Analysis and Generalized Linear Models. Los Angeles: Sage.

Gelman,A., Hill,J. (2006) Data Analysis Using Regression and Multilevel Hierarchal Models. New York: Cambridge Univeristy Press.

Neuman ,W.L. (2007) Basics of Social Research :
Qualitative and Quantitative Approaches. Boston: Allyn and Bacon

Planned Learning Activities and Teaching Methods

Lecture
Discussion
Questions/Answers
Presentation

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	40
Other	1	60
Total(%)		100
Contribution of In-term Studies to Overall Grade(%)		100
Contribution of Final Examination to Overall Grade(%)		0
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	2	2
Preparation for Quiz	0	0	0
Individual or group work	14	15	210
Preparation for Final exam	1	12	12
Course hours	14	3	42
Preparation for Midterm exam	1	8	8
Laboratory (including preparation)	0	0	0
Final exam	1	3	3
Homework	2	12	24
Total Work Load			301
Total Work Load / 30 (h)			10.03
ECTS Credit of the Course			10

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3
K1	X	X	X
K2	X	X	X
K3
K4
K5
K6	X
K7	X	X	X
K8
K9	X
K10