COURSE UNIT TITLE

: LONGITUDINAL DATA ANALYSIS IN PSYCHOLOGY

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PSI 5091 LONGITUDINAL DATA ANALYSIS IN PSYCHOLOGY ELECTIVE 3 0 0 9

Offered By

PSYCHOLOGY

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR DUYGU GÜNGÖR CULHA

Offered to

PSYCHOLOGY

Course Objective

The main objective of the course is to acquire an understanding of longitudinal models as applied in psychology and to learn how to apply advanced statistical methods for longitudinal data analysis

Learning Outcomes of the Course Unit

1   Gain insight into properties of longitudinal data
2   Become familiar with traditional and recent longitudinal modeling strategies
3   Acquire skills in employing sophisticated statistical methodologies for analyzing longitudinal data
4   Develop an understanding of how to appropriately select models for longitudinal data
5   Gain ability to interpret the results of advanced statistical analysis for longitudinal
6   Gain ability to report the findings of longitudinal data analysis.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Definitions: Longitudinal vs. Time series
2 Data Structures and Longitudinal Analysis
3 Graphing Longitudinal Data
4 Modeling Strategies: overview of traditional methods
5 Modeling Strategies: overview of recent methods
6 Linear Mixed Effects Regression
7 Latent growth curve modeling
8 Latent growth curve modeling
9 Cross-lagged panel analysis
10 Cross-lagged panel analysis
11 Latent markov models
12 Latent markov models
13 Dynamic structural equation models
14 Dynamic structural equation models

Recomended or Required Reading

Newsom, J., Jones, R. N., & Hofer, S. M. (Eds.). (2013). Longitudinal data analysis: A practical guide for researchers in aging, health, and social sciences. Routledge. Newsom, J., Jones, R. N., & Hofer, S. M. (Eds.). (2013). Longitudinal data analysis: A practical guide for researchers in aging, health, and social sciences. Routledge.
Littlefield, A. K. (2023). Longitudinal data analysis. In H. Cooper, M. N. Coutanche, L. M. McMullen, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), APA handbook of research methods in psychology: Data analysis and research publication (2nd ed., pp. 245 267). American Psychological Association

Planned Learning Activities and Teaching Methods

Presentations
Question-Answer
Applications
Homeworks

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 STT TERM WORK (SEMESTER)
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + STT * 0.20 + FIN* 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + STT * 0.20 + RST* 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Assessment criteria should be associated with learning strategies.

Assessment through a midterm exam, homework assignments/presentations, and a final exam.

Language of Instruction

English

Course Policies and Rules

Attendance at 70% of the classes is mandatory

Contact Details for the Lecturer(s)

duygu.gungor@deu.edu.tr

Office Hours

Monday 15:30-17:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 11 154
Preparation for midterm exam 1 6 6
Preparation for final exam 1 5 5
Preparation for quiz etc. 1 5 5
Preparing assignments 1 4 4
Final 1 1 1
Midterm 1 1 1
Quiz etc. 1 1 1
TOTAL WORKLOAD (hours) 219

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6
LO.1555
LO.2555
LO.3555
LO.4555
LO.5555
LO.6555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

HOME / ABOUT US / DEGREE PROGRAMMES / GENERAL INFORMATION FOR STUDENTS / INTERNATIONAL RELATIONS