DATA ANALYSIS-I
- Course
- STAT207 - DATA ANALYSIS-I
- Department
- Basic Sciences and Humanities
- Course Type
- Scientific Preparation
- Status
- Required
- Language
- English
- Credit
- 0
- ECTS
- 0
- T+P+L
- 0 + 0 + 0
- Course Coordinator(s)
- Asst. Prof. Dr. Oluwasuyi Ayobami OBA
- Prerequisite
- -
Course Description
Data analysis I course provides the usage of SPSS which is a basic statistics programme for quantitative data analysis. The students will learn entrying data, composing data set, dealing with missing values, recoding variables into same and diffrent variables, calculating the total scores, analysing frequency, properties of normal distribution, investigating extreme values, obtaining graphs, calculating z-scores, correlation and simple regression analysis. Since this course is an application course, the students will learn to conduct these procedures in computer enviroment. Besides conducting several analysis in computer environment, the student will also learn how to read an SPSS output table, how to interpret findings and report the analysis results in accordance with APA style.
DATA ANALYSIS-I
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Quiz 1 | Quiz | 15 |
| Quiz 2 | Quiz | 15 |
| Midterm | Midterm | 30 |
| Final | Final | 40 |
| Total | 100 | |
Course outcomes
- 01 1.Student knows to enter data in SPSS and can organise data
- 02 2.Student knows to to obtain descriptive statistics from an SPSS data
- 03 3.Student knows to to to obtain and organise severakinds of graphics from an SPSS data
- 04 4.Can interperete the specialties of several distributions, can transfer raw scores to standart scores and percentiles by SPSS
- 05 5.Can perform correlational analysis and interpret the results from SPSS output
- 06 6.Can perform Chi-Square analysis and interpret the results from SPSS output
- 07 7.Can organize and presents SPSS results by the tables and report in APA format
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Course overview and introduction to SPSS |
| Week 2 | Course overview and data input in SPSS |
| Week 3 | Data input in SPSS, tables, graphs and descritive statistics |
| Week 4 | Data input in SPSS, tables, graphs and descritive statistics |
| Week 5 | Explore command, graphs and descriptive statistics |
| Week 6 | Explore command, graphs and descriptive statistics |
| Week 7 | Normal distribution, z-scores, percentiles |
| Week 8 | Midterm |
| Week 9 | Normal distribution, z-scores, percentiles |
| Week 10 | Hypothesis Tests |
| Week 11 | Examining the recode menu in SPSS, Reverse transformation of items in SPSS |
| Week 12 | Correlation Analysis |
| Week 13 | Simple Linear Regression Analysis |
| Week 14 | Review of the semester |
| Week 15 | - |
Reference Books & Course Materials
- 01 Yaratan, H. (2017). Sosyal bilimler için temel istatistik SPSS uygulamalı. Ankara: Anı Yayıncılık.
- 02 Büyüköztürk, Ş. (2016) Sosyal Bilimler için VERİ ANALİZİ EL KİTABI. Pegem Yayıncılık
- 03 Büyüköztürk, Ş., Çokluk, Ö.,Köklü, N.(2015) Sosyal Bilimler İçin İstatistik. Pegem Yayıncılık
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
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Po-Lo Matrix
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