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 |
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Statistics and Research Methods in Social Sciences II | KAM210 | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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NONE |
Course Language | Turkish |
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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 Lecturer(s) |
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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;
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Course Content | Quantitative methods; SPSS; statistical tests; area research. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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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. |
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Evaluation System
Requirements | Number | Percentage of Grade |
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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 |
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Percentage of Final Work | 35 |
Total | 100 |
Course Category
Core Courses | X |
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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 | ||||
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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 |
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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 |