SOC2004 Statistical Methods and Computer Applications in Social Sciences IIBahçeşehir UniversityDegree Programs SOCIOLOGYGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
SOCIOLOGY
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
SOC2004 Statistical Methods and Computer Applications in Social Sciences II Spring 3 2 4 6

Basic information

Language of instruction: English
Type of course: Must Course
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Hybrid
Course Coordinator : Instructor İLHAN ZEYNEP KARAKILIÇ
Course Lecturer(s): Assoc. Prof. ULAŞ SUNATA ÖZDEMİR
Recommended Optional Program Components: "."
Course Objectives: This course is the second in a two-course (SOC2003 and SOC2004) research methods – statistics sequence (These lectures are actually for all undergraduate social scientists, and aim to introduce and familiarize students with methods of statistical analysis.). While the first course (SOC2003) has primarily been a conceptual introduction to social science research, this one 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. In addition, students will implement their research plans they have prepared in the first course. Therefore, they will collect data and analyze them using the proper statistical technique. Once they finish data collection and data analysis, students will also turn their research plans into complete research reports.

Learning Outcomes

The students who have succeeded in this course;
1) Determine the connection between quantitative research types and corresponding statistical analysis types.
2) Explain basic social statistical concepts, terms, and principles.
3) Explain introductory level statistical methods.
4) Demonstrate numeric data by computing descriptive statistics and by creating tables and graphs.
5) Compute various inferential statistics using both hand calculation and computer methods.
6) Experience collecting data from research participants.
7) Apply statistical analysis for given research methods.
8) Explain the differences among various statistical techniques and identify an appropriate technique for a given set of variables and research questions.
9) Test hypotheses applying probability theory.
10) Analyze quantitative data by using statistical software.
11) Develop knowledge and skills to prepare a quantitative research report.

Course Content

Descriptive statistics; hypothesis testing; sampling distributions; t-test; ANOVA; regression; running these analyses in SPSS and interpreting the output; implementation of a research plan; preparing a complete research report.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction to statistical methods NONE
2) Descriptive statistics Agresti, A., and B. Finlay. Statistical Methods for the Social Sciences. Pearson International Edition. 4th Ed. New Jersey: Pearson, 2009. Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
3) Descriptive statistics Agresti, A., and B. Finlay. Statistical Methods for the Social Sciences. Pearson International Edition. 4th Ed. New Jersey: Pearson, 2009. Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
4) Normal distribution Agresti, A., and B. Finlay. Statistical Methods for the Social Sciences. Pearson International Edition. 4th Ed. New Jersey: Pearson, 2009. Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
5) Normal distribution Agresti, A., and B. Finlay. Statistical Methods for the Social Sciences. Pearson International Edition. 4th Ed. New Jersey: Pearson, 2009. Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
6) Sampling distribution and basic hypothesis testing Agresti, A., and B. Finlay. Statistical Methods for the Social Sciences. Pearson International Edition. 4th Ed. New Jersey: Pearson, 2009. Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
7) Sampling distribution and basic hypothesis testing Agresti, A., and B. Finlay. Statistical Methods for the Social Sciences. Pearson International Edition. 4th Ed. New Jersey: Pearson, 2009. Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
8) Course review
8) introduction to SPSS environment Agresti, A., and B. Finlay. Statistical Methods for the Social Sciences. Pearson International Edition. 4th Ed. New Jersey: Pearson, 2009. Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
9) Mean comparison of two groups Agresti, A., and B. Finlay. Statistical Methods for the Social Sciences. Pearson International Edition. 4th Ed. New Jersey: Pearson, 2009. Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
10) Mean comparison of two groups Agresti, A., and B. Finlay. Statistical Methods for the Social Sciences. Pearson International Edition. 4th Ed. New Jersey: Pearson, 2009. Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
11) Mean comparison of three or more groups Agresti, A., and B. Finlay. Statistical Methods for the Social Sciences. Pearson International Edition. 4th Ed. New Jersey: Pearson, 2009. Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
12) Mean comparison of three or more groups Agresti, A., and B. Finlay. Statistical Methods for the Social Sciences. Pearson International Edition. 4th Ed. New Jersey: Pearson, 2009. Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
13) Simple regression Agresti, A., and B. Finlay. Statistical Methods for the Social Sciences. Pearson International Edition. 4th Ed. New Jersey: Pearson, 2009. Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.
14) Simple regression Agresti, A., and B. Finlay. Statistical Methods for the Social Sciences. Pearson International Edition. 4th Ed. New Jersey: Pearson, 2009. Field, A. (2009). Discovering statistics using SPSS (3rd ed.). London: Sage.

Sources

Course Notes / Textbooks: Course reader will be given weekly
References: Agresti, A., and B. Finlay. Statistical Methods for the Social Sciences. Pearson International Edition. 4th Ed. New Jersey: Pearson, 2009.

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


Evaluation System

Semester Requirements Number of Activities Level of Contribution
Quizzes 4 % 60
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
Laboratory 14 2 28
Application 5 1 5
Study Hours Out of Class 14 4 56
Quizzes 5 1 5
Midterms 1 2 2
Final 1 2 2
Total Workload 140

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) To learn and compare major sociology perspectives, both classical and contemporary, and apply all of them to analysis of social conditions. 1
2) To be able to identify the basic methodological approaches in building sociological and anthropological knowledge at local and global levels 3
3) To be able to use theoretical and applied knowledge acquired in the fields of statistics in social sciences. 5
4) To have a basic knowledge of other disciplines (including psychology, history, political science, communication studies and literature) that can contribute to sociology and to be able to make use of this knowledge in analyzing sociological processes 2
5) To have a knowledge and practice of scientific and ethical principles in collecting, interpreting and publishing sociological data also develop ability how to share this data with experts and lay people, using effective communication skills 5
6) To develop competence in analyzing and publishing sociological knowledge by using computer software for quantitative and qualitative analysis; and develop an attitute for learning new techniques in these fields. 5
7) To identify and to have a knowledge of the theories related to urban and rural sociology and demography, and political sociology, sociology of gender, sociology of body, visual sociology, sociology of work, sociology of religion, sociology of knowledge and sociology of crime. 2
8) To have knowledge of how sociology is positioned as a scientific discipline from a philosophical and historical perspective 2
9) To have the awareness of social issues in Turkish society, to develop critical perspective in analysing these issues and to have a knowledge of the works of Turkish sociologists and to be able to transfer this knowledge 2
10) To have the awareness of social issues and global societal processes and to apply sociological analysis to development and social responsibility projects 2
11) To have the ability to define a research question, design a research project and complete a written report for various fields of sociology, either as an individual or as a team member. 5
12) To be able to transfer the knowledge gained in the areas of sociology to the level of secondary school. 1