Sosyal Bilimlerde Araştırma Yöntemleri: 01 Giriş

Summary

This course provides an introduction to research methods in social sciences, covering key concepts like research methodology, hypothesis formulation, and measurement tools. It explores various research methods, such as experimental design, surveys, content analysis, and field research. The course delves into statistical tests, including parametric and nonparametric methods, and the use of statistical software like SPSS. Students will learn how to select appropriate statistical tests, design research, and write research reports. The course also emphasizes ethics in research and the importance of practical skills in conducting social science research.

Takeaways

• 😀 The course aims to review basic concepts in social science research, such as research methods, hypotheses, and statistical tests used in social science research.
• 😀 The first week will focus on reviewing essential research concepts, including science, research, research methods, and causality, and how to formulate hypotheses.
• 😀 The course will cover different research methods used in social sciences, including experimental methods, descriptive surveys, content analysis, and field research.
• 😀 The course will also introduce how to select samples, the importance of sampling methods, and how to conduct hypothesis testing.
• 😀 Students will learn about inferential statistics, focusing on hypothesis tests, parametric tests, and non-parametric tests used for various types of data.
• 😀 Parametric tests are based on probability sampling and are used when data is normally distributed, while non-parametric tests are used when the normality assumption is not met.
• 😀 The course will include the use of predictive analysis software (SPSS) to analyze data and perform statistical tests, demonstrating these processes through practical examples.
• 😀 Students will learn how to choose appropriate statistical tests based on the type of data and research design, with a focus on quantitative data.
• 😀 In later lessons, the course will address research design, how to design a research study, and the steps involved in this process, along with an introduction to writing research reports.
• 😀 Ethical considerations in research, including plagiarism and common ethical violations, will also be discussed, alongside the importance of correct citations, references, and the preparation of bibliographies.

Q & A

What is the primary objective of the course in social science research methods?

The primary objective is to review fundamental concepts related to research in social sciences, examine key research methods, and provide information on the statistical tests used in social science research.

What fundamental concepts will be covered in the first week of the course?

The first week focuses on reviewing essential concepts in social science research, including terms like science, research, research methods, and hypothesis. It also covers topics such as causality and the conceptualization of abstract concepts for research.

What research methods will be examined in the course?

The course will examine several key research methods, including experimental methods, descriptive or survey methods, content analysis, and field research methods, along with examples of how these methods are applied.

How will sampling be covered in the course?

Sampling will be explored with a focus on how to select samples in research, with practical examples of sampling logic. Students will learn how to generalize findings from samples to larger populations.

What is the focus of the course’s content on hypothesis testing?

The course will cover how to conduct hypothesis testing, introducing the concept of inferential statistics. Students will learn about both parametric and nonparametric statistical tests, depending on the type of data and conditions.

What is the difference between parametric and nonparametric tests in the course?

Parametric tests are used when sample data follows a normal distribution, while nonparametric tests are employed when the normality assumption is not met, such as for non-normally distributed data.

How will statistical software be utilized in the course?

The course will incorporate the use of statistical software, specifically SPSS (Predictive Analysis Software), to demonstrate how data is collected, analyzed, and how statistical tests are conducted.

What types of statistical tests will be covered in the course?

The course will cover both parametric and nonparametric statistical tests, helping students understand when and how to use them for different types of research and data.

What additional research methods might be explored beyond this introductory course?

While this course focuses on fundamental methods, more advanced research methods such as multivariate analysis of variance (MANOVA), factor analysis, logistic regression, and structural equation modeling are mentioned as topics for future, more specialized courses.

What should students focus on during the course to enhance their learning?

Students should focus on reviewing sources cited in the lecture slides and learning how to use SPSS software for statistical tests. Completing exercises and applying statistical knowledge to their own data will further improve their understanding.