Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 1 / Spring Semester | ||||
| Level of Course | 2nd Cycle Degree Programme | ||||
| Type of Course | Optional | ||||
| Department | EğITIM TEKNOLOJILERI TEZLI YüKSEK LISANS | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | ŞEYHMUS AYDOĞDU (saydogdu@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| The aim of this course is to provide knowledge and skills regarding the basic concepts of statistical data analysis and the basic statistical operations to be performed on the data collected in a scientific research process. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | Can choose the statistical data analysis technique suitable for the research problem. |
PO-6 Conducts scientific studies independently or as a member of a team, using research methods and techniques. PO-7 Develops and applies data collection tools in scientific research and analyzes the collected data with statistical methods. |
Examination Term Paper |
| LO-2 | Can report and interpret the findings obtained from data analysis. |
PO-6 Conducts scientific studies independently or as a member of a team, using research methods and techniques. PO-7 Develops and applies data collection tools in scientific research and analyzes the collected data with statistical methods. |
Examination Term Paper |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| This course covers the basic concepts of statistical data analysis, choosing the appropriate analysis method for data analysis, introducing the SPSS Package application, performing descriptive analyzes, simple and partial correlation analysis, comparison of mean scores in unrelated measures, comparison of mean scores in related measures, average scores in mixed measures. comparison, simple and multiple regression analysis, covariance analysis, factor analysis, non-parametric statistics and some statistical analyzes used in validity and reliability analysis. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Scientific research process and data analysis | Lecture, Question and Answer, Discussion |
| 2 | Descriptive analysis | Lecture, Question and Answer, Discussion |
| 3 | Simple and partial correlation | Lecture, Question and Answer, Discussion, Individual Study Method |
| 4 | Comparison of mean scores on independent measures | Lecture, Question and Answer, Discussion, Individual Study Method |
| 5 | Comparison of mean scores on independent measures | Lecture, Question and Answer, Discussion, Individual Study Method |
| 6 | Comparison of mean scores on dependent measures | Lecture, Question and Answer, Discussion, Individual Study Method |
| 7 | Comparison of mean scores on dependent measures | Lecture, Question and Answer, Discussion, Individual Study Method |
| 8 | mid-term exam | |
| 9 | Comparison of mean scores on mixed measures | Lecture, Question and Answer, Discussion, Individual Study Method |
| 10 | Simple and multiple regression | Lecture, Question and Answer, Discussion, Individual Study Method |
| 11 | Simple and multiple regression | Lecture, Question and Answer, Discussion, Individual Study Method |
| 12 | Covariance analysis | Lecture, Question and Answer, Discussion, Individual Study Method |
| 13 | Factor Analysis | Lecture, Question and Answer, Discussion, Individual Study Method |
| 14 | Non-parametric statistics | Lecture, Question and Answer, Discussion, Individual Study Method |
| 15 | Statistics used in validity and reliability | Lecture, Question and Answer, Discussion, Individual Study Method |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Büyüköztürk, Ş. (2023) Sosyal Bilimler için Veri Analizi El Kitabı İstatistik, Araştırma Deseni SPSS Uygulamaları ve Yorum. Pegem Akademi: Ankara. | |
| 2 | Can, A. (2022). SPSS ile Bilimsel Araştırma Sürecinde Nicel Veri Analizi. Pegem Akademi: Ankara. | |
| 3 | Field, A. (2017). Discovering Statistics Using IBM SPSS Statistics. Sage Publications. | |
| Required Course instruments and materials | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 2 | 40 |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | 16 | 1 | 30 |
| 9.Project | |||
| final exam | 16 | 1 | 30 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
| Outside Class | |||
| a) Reading | 3 | 14 | 42 |
| b) Search in internet/Library | 3 | 14 | 42 |
| c) Performance Project | 0 | ||
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 2 | 14 | 28 |
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 3 | 7 | 21 |
| mid-term exam | 2 | 1 | 2 |
| Own study for final exam | 0 | ||
| final exam | 3 | 1 | 3 |
| 0 | |||
| 0 | |||
| Total work load; | 180 | ||