Április - 2019
01 02 03 04 05 06 07
08 09 10 11 12 13 14
15 16 17 18 19 20 21
23 24 25 26 27 28
29 30  

Subject data sheet

Quantitative research methods

Download data sheet: Download

Code: 4KO03NBK80M
Name: Quantitative research methods
Number of hours per semester: 2+2
Credits: 6
Fall/Spring: Spring
Language: English
Prerequisites: none
Course type: mandatory
Department: Közgazdálkodás és Közpolitika Tanszék
A Course leader: Hajnal György

Course description: The plan and ambition of the course:
Main objectives: (i) familiarize students with core concepts and instruments of empirical research; (ii) develop skills enabling students to apply them in real-life settings; (iii) help them prepare for the thesis research.
Examples are usually drown from public administration / policy setting. BUT: the course develops generic skills indispensable in corporate etc. settings too!

Week Topic

1 "Components, goals and structure of the course.
Introduction to survey methods. Methods of data collection. Self-completion and interviewer-administered surveys. Personal and telephone interviews. CAPI, CATI and CASI methods. Online survey tools."
2 Guidelines for designing questionnaires. Defining the information required to answer a research question. Screening and exclusion questions. Types of question.
3 Rating scales. Balanced vs. unbalanced rating scales. Attitude measurement. Visual aids in questionnaires.
4 Socio-demographic and sensitive questions. Writing the questionnaire. Language and style.
5 An overview of SPSS. Structure of data file. Creating and editing data file. Variable types. Inputing and importing data. (CH01-03).
6 Presentation and discussion of the Questionnaires
7 Managing data: recode, calculate, select, sort (Ch04). Single variable statistics. Descriptive statistics. (Ch06-07)
8 Relationship between two variables I.: nominal-nominal. (Crosstab; Row vs. Col%)
9 Relationship between two variables I II.: nominal vs. scale (paired-sample t-test, 1-way ANOVA – Ch1/11, 12). Relationship between two variables I III.: scale vs. scale (bivariate corr.)
10 2-way ANOVA (Ch13)
11 Simple and multiple linear regressions (Ch15, 16)

Assessment, grading: Component #1: Questionnaire development (group work; 40 points)
Component #2: Written mini-tests (elements of the given class; 20 points)
Component #3: End-of-semester written exam (computer lab, 40 points)

Aims and objectives and description of the course: 

Time of class: 

Learning outcomes: 


Compulsory readings:

  • Darren George – Paul Mallery: SPSS for Windows Step by Step, 8th Edition, Pearson, 2008

Recommended readings:

Compulsory readings:
Recommended readings:


Dr. Brodszky Valentin Péter, Dr. Rencz Fanni

Last modification: 2018-12-11 20:37:19


Course codeTypeSemesterInstructors
GGyakorlat2018/19/2Dr. Brodszky Valentin Péter, Dr. Rencz Fanni

A "Tantárgyfelelős tanszék", a tantárgyfelelős neve a tantárgy oktatói és a kurzusinformációk automatikusan frissülnek a tanulmányi rendszerünk alapján.