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 Have an advanced level of basic theoretical knowledge on the field of public finance in order to obtain the practical gains. X
2 Identify the issues related to the field of public finance by dealing with it within the framework of the methodological approach, and report and evaluate it from an analytical point of view. X
3 Understand, interpret and analyse economic and financial events, equipped with knowledge of certain disciplines, especially economics, business and law. X
4 Develop policies and strategies for solving the problems by establishing the cause-effect relationship related to fiscal and economic issues through theoretical information and the discussions. X
5 Establish the relationship of public financial management and budget theory with public policies, he/she makes strong budget analysis, develop analysis on public finance and makes a link with the policy implementation X
6 Understand the tax theory, learning the legal structure, following the legal and financial developments and gaining a professional competence in tax matters effectively develop it. X
7 Have knowledge of accounting systems in private and public institutions and businesses, analyze and interpret the financial and financial structure of institutions with the knowledge and competence gained. X
8 Gain knowledge of macroeconomic framework and growth theory, including theoretical and country examples, evaluates economic developments from a theoretical perspective. X
9 Use foreign language in financial and economic fields, follow international literature, communicate on professional issues.
10 Benefit from technological developments in studies specific to its field by using information technologies, digital developments and common software. X
11 Use qualitative and quantitative methods for the analysis of economic, financial, social and institutional events. X
12 While fulfilling its academic and professional responsibilities, develop an approach that respects s United Nations sustainable development goals, freedoms, rights of the disadvantaged groups, environment, cultural and moral values. X

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