EDT5012 Statistical Data AnalysisBahçeşehir UniversityDegree Programs LAWGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
LAW
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
EDT5012 Statistical Data Analysis Spring
Fall
3 0 3 8
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. ALİ BAYKAL
Course Lecturer(s): Prof. Dr. HASAN KEMAL SUHER
Assoc. Prof. MEHMET SENCER ÇORLU
Prof. Dr. ALİ BAYKAL
Dr. Öğr. Üyesi GURSU ASIK
Recommended Optional Program Components: NONE
Course Objectives: This course will primarily focus on quantitative data analysis. Topics in this course will include descriptive statistics, hypothesis testing, sampling distributions, t-test, ANOVA, and regression. A parallel learning activity will be to learn how to use SPSS (Statistical Package for the Social Sciences) to run the above-mentioned statistical procedures.

Learning Outcomes

The students who have succeeded in this course;
At the end of this course, students will;
o Develop an understanding of the connection between quantitative research types and corresponding statistical analysis types.
o Develop a knowledge base for basic statistical concepts, terms, and principles.
o Develop knowledge of introductory level statistical methods.
o Develop skills to perform statistical analysis for given research types.
o Develop skills to use statistical software to analyze quantitative data.
o Develop knowledge and skills to report quantitative data analysis results.

Course Content

Descriptive statistics; hypothesis testing; sampling distributions; t-test; ANOVA; regression; running these analyses in SPSS and interpreting the output; writing up quantitative data analysis results

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to statistical methods NONE
2) Descriptive statistics Ch. 1 and 2: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 1, 2, and 3: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
3) Descriptive statistics Ch. 1 and 2: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 1, 2, and 3: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
4) Normal distribution Ch. 3: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 1, 2, and 3: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
5) Normal distribution Ch. 3: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 1, 2, and 3: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
6) Sampling distribution and basic hypothesis testing Ch. 4: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth.
7) Sampling distribution and basic hypothesis testing Ch. 4: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth.
8) Mean comparison of two groups Ch. 7: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 9: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
9) Mean comparison of two groups Ch. 7: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 9: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
10) Mean comparison of three or more groups Ch. 11: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 10: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
11) Mean comparison of three or more groups Ch. 11: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 10: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
12) Simple regression Ch. 9 and 15: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 7: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
13) Simple regression Ch. 9 and 15: Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth. Ch. 7: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
14) Writing up data analysis results NONE

Sources

Course Notes / Textbooks: Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.

Howell, D.C. (2007). Statistical methods for psychology (6th ed.).Belmont, CA: Thomson Wadsworth.
References: Cozby, P.C. (2007). Methods in behavioral research (9th ed.). Boston: McGraw Hill.

Pedhazur, E.J. & Schmelkin, L.P. (1991). Measurement, design, and analysis: An integrated approach. Hillsdale, NJ: Lawrence Erlbaum Associates.

Salkind, N.J. (2004). Statistics for people who (think they) hate statistics (2nd ed.). London: Sage.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 1 % 20
Midterms 2 % 40
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 14 7 98
Midterms 2 15 30
Final 1 20 20
Total Workload 190

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) List the relations between concepts and institutions related to various legal disciplines and this concepts and institutions.
2) Have the knowledge of legal methodology and methods of comment.
3) Comment the modern legal gains with the historical knowledge.
4) Have the knowledge of philosophical currents of thought which are the bases of legal rules.
5) Have the knowledge of legal regulations, judicial decisions and the scientific evaluations related to them.
6) Resolve the juridical disagreements in light of legal acts, juridical decisions and doctrine.
7) Use at least one foreign language as scientific language.
8) Have the knowledge of the political and juridical foundation of the state.
9) Have the knowledge of the historical development of the rights of individuals and societies and of the basic documents which are accepted throughout this development.
10) Have the ability to resolve the disagreements which can violate the social order in national or international level.
11) Have the ability to prevent the juridical disagreements between individuals.
12) Have the knowledge of international and comparative law systems.
13) Have the knowledge of the construction and the conduct of the national and international commercial relations.
14) Use Turkish in an efficient way both verbal and written.
15) Have the professional and ethical responsibility.
16) Have the knowledge on the European Union’s legislation and institutions.
17) Have the knowledge on juridical regulations and applications related to economical and financial mechanisms.
18) Have the knowledge of the operation of the national and the international judicial bodies.