STATISTICS II
| Title | ΣΤΑΤΙΣΤΙΚΗ ΙΙ / STATISTICS II |
| Code | ΨΥ-400 |
| Faculty | Philosophy |
| School | Psychology |
| Cycle / Level | 1st / Undergraduate, 2nd / Postgraduate |
| Teaching Period | Spring |
| Common | No |
| Status | Active |
| Course ID | 600013505 |
Programme of Study: PPS Tmīmatos PSychologías (2017-sīmera)
Registered students: 0
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | 4 | 2 | 6 |
| Academic Year | 2017 – 2018 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 4 |
| Total Hours | 52 |
| Class ID | 600115291
|
Class Schedule
| Building | Φιλοσοφική (Νέα) |
| Floor | Όροφος 4 |
| Hall | ΕΡΓΑΣΤΗΡΙΟ ΨΥΧΟΛΟΓΙΑΣ (352) |
| Calendar | Τετάρτη 11:00 έως 14:00 |
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600115291
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
Required Courses
- Ψ-400 STATISTICS I
General Prerequisites
There are no prerequisites for the course
Learning Outcomes
This course follows the course of “Statistics I” and its aim is twofold: first, to teach the statistical methodology applied in an important part of psychological research; second, to teach students the statistical software SPSS, thus enabling them to treat empirical psychological data by applying the statistical methods that had been taught in the courses of statistics. In this way, students acquire a more complete knowledge of the statistical methodology in the psychological research and become efficient in applying it when analyzing empirical data from this field.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Make decisions
- Work autonomously
- Work in teams
- Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction to ANOVA. One-way analysis of variance, one-way analysis of variance with repeated measures, effect size, introduction to multiple comparisons, Scheffe’s test. Introduction to two-way ANOVA and the analysis of higher order experimental designs. Non-parametric statistical methods: Mann-Whitney U test, Sign test, Wilcoxon signed-rank test, Spearman’s rank-order correlation. Non-parametric analysis of variance: Kruskal-Wallis test, Friedman test, Cochran’s Q test, non-parametric tests for multiple comparisons. Reliability of measurements, methods of estimating reliability, Cronbach and Kuder-Richardson coefficients of internal consistency. Introduction to principal component analysis. Statistical data analysis using SPSS (in the computer lab).
Keywords
ANOVA, non parametric methods, Non-parametric ANOVA, reliability, principal component analysis, SPSS
Educational Material Types
- Notes
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
Description
Hands-on learning of SPSS in the computer lab
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 78 | 3 | ✓ | ||
| Reading Assigment | 24 | 0.9 | |||
| Tutorial | 26 | 1 | |||
| Interactive Teaching in Information Center | 26 | 1 | |||
| Exams | 2 | 0.1 | |||
| Total | 156 | 6 |
Student Assessment
Description
Written assessment
Student Assessment methods
- Written Exam with Short Answer Questions (Summative)
- Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
Ανάλυση δεδομένων με το IBM SPSS Statistics 21. Συγγραφέας: Γναρδέλλης Χαράλαμπος, ΕΚΔΟΣΕΙΣ ΠΑΠΑΖΗΣΗΣ ΑΕΒΕ. Κωδικός Βιβλίου στον Εύδοξο: 33133182
Additional bibliography for study
Σημειώσεις Στατιστικής ΙI, Σημειώσεις Στατιστικής για το SPSS.
Last Update
04-11-2017
