ECTS - Statistics and Research Methods in Social Sciences II

Statistics and Research Methods in Social Sciences II (KAM210) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Statistics and Research Methods in Social Sciences II KAM210 3 0 0 3 5
Pre-requisite Course(s)
NONE
Course Language Turkish
Course Type N/A
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Discussion, Question and Answer, Drill and Practice, Brain Storming, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Dr. Eda Bektaş
Course Assistants
Course Objectives The aim of the course is to introduce and apply quantitative research methods in social sciences. Thus, students will be informed about conducting research based on consistent and empirical data.
Course Learning Outcomes The students who succeeded in this course;
  • Perceive the quantitative methods used in social sciences and understand how and where these methods can be used.
  • Understand the data collection, coding and analysis phases necessary to apply quantitative methods, as well as variable, hypothesis generation and testing phases.
  • Upon applying the appropriate method, they will learn to use the PSPP statistical program.
  • Comprehend how to seek answers to questions about political science and other related disciplines using quantitative methods.
Course Content Quantitative methods; SPSS; statistical tests; area research.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Introduction. Introducing the lesson and explaining the expectations from the students.
2 What is statistics? What is its role in research? Richard J. Shavelson, Sosyal Bilimler için İstatistik, sayfa 3-41.
3 Descriptive Statistics for Univariate Distributions (I) – Frequency Distributions Richard J. Shavelson, Sosyal Bilimler için İstatistik, sayfa 51-91. Example explanation and solutions with Excel
4 Descriptive Statistics for Univariate Distributions (II) – Central Tendency and Measures of Variability Richard J. Shavelson, Sosyal Bilimler için İstatistik, sayfa 92-127. Example explanation and solutions with PSPP or Excel application
5 Example explanation and solutions with PSPP or Excel application Richard J. Shavelson, Sosyal Bilimler için İstatistik, sayfa 128-154. Sample explanation and solutions with PSPP application 1. Homework.
6 Descriptive Statistics for Common Distributions (I) – Correlation Coefficient Richard J. Shavelson, Sosyal Bilimler için İstatistik, sayfa 157-192. Sample explanation and solutions with PSPP application
7 Hypothesis Testing and Statistical Inferences Richard J. Shavelson, Sosyal Bilimler için İstatistik, sayfa 223-355. Sample explanation and solutions with PSPP application
8 Between-Group Statistical Tests – t-Tests Richard J. Shavelson, Sosyal Bilimler için İstatistik, sayfa 359-400. Sample explanation and solutions with PSPP application
9 Between-Group Statistical Tests – One-Way Analysis of Variance Richard J. Shavelson, Sosyal Bilimler için İstatistik, sayfa 401-452. Sample explanation and solutions with PSPP application
10 Midterm
11 Simple and Multiple Regression Analysis I Richard J. Shavelson, Sosyal Bilimler için İstatistik, sayfa 578-600. Sample explanation and solutions with PSPP application
12 Simple and Multiple Regression Analysis II Richard J. Shavelson, Sosyal Bilimler için İstatistik, sayfa 578-600. Sample explanation and solutions with PSPP application 2. Homework.
13 Categorical Data Analysis: Cross Table and Chi-Square Test Richard J. Shavelson, Sosyal Bilimler için İstatistik, sayfa 601-634. • Sample explanation and solutions with PSPP application
14 Course repetition Repetition of past topics and answering questions. Information about the final exam.

Sources

Course Book 1. Richard J. Shavelson, Sosyal Bilimler için İstatistik, Ankara: Pegem Akademi, 2016.

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation 1 20
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 2 20
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 25
Final Exam/Final Jury 1 35
Toplam 5 100
Percentage of Semester Work 65
Percentage of Final Work 35
Total 100

Course Category

Core Courses
Major Area Courses X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Learning the basic concepts, theories and methods of political science and Public Administration and their use in the analysis of national and global political developments, cause-and-effect relations.
2 Understanding how policies are created and implemented in real life at local, national, regional and/or global levels, recognizing important institutions and actors playing a role in these processes, knowing the functioning of Public Administration.
3 Gaining a basic level of knowledge about other fields related to political science and public administration disciplines (such as International Relations, Sociology, Psychology, cultural studies, economics, law, history) and thus having an interdisciplinary understanding that takes into account the relations between different areas of life and establishes connections.
4 Learning the use of quantitative and/or qualitative research techniques that can be used in the field of political science and public administration, software, hardware and/or technical tools that can be useful; gaining experience in designing and executing research projects to develop their application skills in this field. X
5 Developing the ability to be open-minded, avoid discrimination, and be sensitive and respectful to different points of view through the promotion of critical analytical thinking, intellectual discussion, and lifelong learning, thereby developing the skills to act jointly.
6 Development of decision-making and initiative, job completion and time management competencies by understanding business ethics in public administration, politics and all related areas.
7 Development of communication skills, oral and written expression, presentation techniques; learning the principles and procedures that are required to write an academic article on the disciplines of political science and public administration.
8 Mastering English terminology in the disciplines of political science and Public Administration and acquiring a level of foreign language knowledge that can help to follow studies written in English, so that current political events and cases in various countries can be analyzed comparatively.
9 Knowing both the Turkish and world political history in terms of periods, important milestones and actors, understanding the impact of the social-historical backgrounds of countries on current political and administrative issues.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 14 3 42
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 3 42
Presentation/Seminar Prepration
Project
Report
Homework Assignments 2 5 10
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 14 14
Prepration of Final Exams/Final Jury 1 18 18
Total Workload 126