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 X
Major Area Courses
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 Having the conceptual and applied knowledge about the basic functions of the business and gaining the ability to use the knowledge
2 To be able to diagnose the problems related to the field of business, to use scientific approaches effectively in the solution of problems and decision-making processes.
3 To be able to reveal and analyze the environmental, social, global effects and legal consequences of the applications related to the basic functions of the business.
4 To be able to analyze information and reports that concern businesses at the national, regional and global level, to set strategic goals according to the results obtained
5 Gain the ability to use, report and interpret Business Information Systems and sub-modules required by business management
6 Planning necessary activities such as starting a new business with innovative and creative thinking and taking risks for the sustainability of the business, finding resources, making market analysis, preparing a business plan, and using the learned information in this direction.
7 Being aware of the fact that the research and learning process continues throughout life, to be able to follow the scientific and technological developments related to the business, to support oneself and the organization in innovation and continuous development.
8 To have the necessary leadership and managerial skills to achieve business objectives effectively and efficiently.
9 To be able to conduct scientific research in the field of business and report the results of the research to be used in managerial decision-making processes.
10 To be able to transfer information about the field of business using effective verbal, written and visual communication methods in the language of learning and professional English
11 To be aware of professional ethics, environmental awareness, sustainability, social responsibility, cultural, social and universal values
12 Working effectively with different disciplines or multicultural teams, taking responsibility, making risk analysis, adapting to change, critical thinking and using initiative in problem solving
13 .

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