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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS PSI 1005 STATISTICS FOR PSYCHOLOGY I COMPULSORY 3 2 0 6

Offered By

Psychology

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

INSTRUCTOR ÖZGÜL VUPA ÇILENGIROĞLU

Offered to

Psychology

Course Objective

To teach basic statistical concepts in social sciences and psychology, statistical application, interpretation and presentation as reports

Learning Outcomes of the Course Unit

1   Understanding key concepts involved in psychological statistics 2   Understanding basic statistical techniques (conceptually and numerically) 3   Be able to correctly apply statistical techniques to psychological data 4   Be able to correctly interpret results of analyses of psychological data 5   Be able to clearly convey orally and in writing the details of statistical

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introducing course content 2 Basic concepts (population, sample, experimental and correlational methods, independent and dependent variables, measurement and measures) 3 Frequency distribution (frequency tables and graphics) 4 Frequency distribution (central tendency, mean, median, mod) 5 Frequency distribution (range, variance, standard deviation) 6 Probability and normal distribution 7 Standard scores(z, t) 8 Correlation (Pearson, Spearman rho and others) 9 Partial and multiple correlations 10 Partial and multiple correlations 11 Simple linear regression 12 Introduction to inferential statistics 13 T-test 14 T-test

Recomended or Required Reading

Büyüköztürk, Ş., Çokluk, Ö. ve Köklü, N. (2013, 12. baskı). Sosyal Bilimler için Istatistik. Ankara: Pegem Akademi Yayınları. Agresti, A. & Finlay, B. (2009). Statistical methods for the social sciences. New Jersey: Pearson.

Planned Learning Activities and Teaching Methods

Lecturing, laboratory applications, question-answer

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE 1 MIDTERM EXAM 1 2 FIN FINAL EXAM 3 FCGR FINAL COURSE GRADE (RESIT) MTE 1 * 0.50 + FIN * 0.50 4 RST RESIT 5 FCGR FINAL COURSE GRADE (RESIT) MTE 1 * 0.50 + RST * 0.50

Further Notes About Assessment Methods

None

Assessment Criteria

midterm, final, assignments

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Room: 418 Tel: 18635

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Labratory 14 2 28 Preparations before/after weekly lectures 12 2 24 Preparation for midterm exam 1 8 8 Preparation for final exam 1 10 10 Preparing assignments 2 10 20 Reading 1 10 10 Midterm 1 3 3 Final 1 3 3 TOTAL WORKLOAD (hours) 148

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 5 5 5 5 5 LO.2 5 5 5 5 5 4 LO.3 5 5 5 LO.4 5 5 5 LO.5 5 5 5