COURSE UNIT TITLE

: LABORATORY TECHNIQUES AND INSTRUMENTATION

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PSI 6047 LABORATORY TECHNIQUES AND INSTRUMENTATION ELECTIVE 3 0 0 8

Offered By

PSYCHOLOGY

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR ABBAS TÜRNÜKLÜ

Offered to

PSYCHOLOGY

Course Objective

True experiments offer a powerful means to investigate causal relationships between variables. Most experimental studies cover laboratory procedures.
This course addresses laboratory design and analysis from both a conceptual and a practical point of view and it is designed to teach basic computer methods(MATLAB, SPSS, SuperLab, Direct RT ve E-Prime), basic electrophysiological methods(EDA, GSR, HRV, SCR, vb), neuroimaging methods (fNIR and fMRI) and nature of data that is acquired by laboratory technique and it is desinged tp prepare them into the statistical analyze.

Learning Outcomes of the Course Unit

1   Carry out latent and open data collection technique applied at pscyhology by using the latest hardware and software programs
2   Acquire knowledge about the equipments making behaviours work experimentally in the laboratory.
3   Use the technique which are responsible for associating behaviour pattern and visualizing the physiological and metabolic data
4   Make suitable the data that is obtained by neuorimaging systems to statistical analysis
5   Use MATLAB, SPSS, SuperLab, Direct-RT, E-Prime programs effectively

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Experimental Designs, Basic Experiments
2 Internal consistency, confounding effects, independent group design, repeated measure design, matched pair design
3 SuperLab 4.0/ Designing Expriment: sampling, manipulation, IV and DV, control
4 SuperLab 4.0/ Experimental single-event patterns, complex experimental designs
5 Midterm Exam 1
6 Electrophysiology / quasi-experimental designs, program evaluation
7 Electrophysiology / SCR, developmental research designs
8 Electrophysiology / ERP, Understanding the research results: description and correlation
9 Understanding the research results II: statistical interpretation
10 Midterm Exam 2
11 Samples and populations, inferential statistics, the null hypothesis and research hypothesis, probability and distribution scale, type 1 and type 2 errors
12 Electrophysiology / EMG, interpreting the significance value and non-significant results, sample size: power analysis
13 Selecting the proper significance test
14 APA style reporting, data presentation, preparing publications

Recomended or Required Reading

Cozby, P. C. (2009). Methods in behavioral research. NY: McGraw Hill.
American Psychological Association (2009). Publication Manual (6th Ed). Washington, DC: APA.
Direct-RT User Manual
SuperLab 4.0 User Manual
fNIR User Manual
Instructor-Student Manual for Laboratory Techniques in Psychology (provided by the lecturers)

Planned Learning Activities and Teaching Methods

The theoretical issues will be assessed according to active participation of students; the practical ones will be carried out in the laboratory experimentally. Both of them will be controlled by lecturer.

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 * 0.25 + STT * 0.25 + FIN* 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE* 0.25 + STT * 0.25 + RST* 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Students will be assessed with one Midterm exam to examine their theoretical knowledge. Acquired knowledge and skills about various sub area will be assessed with two mini projects/homeworks. One project will be conducted and completed by students for having a general idea of what they learned during the course.

Language of Instruction

Turkish

Course Policies and Rules

Seventy percent attendance is obligatory

Contact Details for the Lecturer(s)

seda.dural@ieu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Tutorials 14 2 28
Preparing assignments 2 20 40
Preparations before/after weekly lectures 14 4 56
Project Preparation 1 20 20
Preparation for midterm exam 1 30 30
Midterm 1 3 3
TOTAL WORKLOAD (hours) 205

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1545
LO.2455
LO.3553
LO.4545
LO.5554