Methodology of Educational Research I - ON23142002
Title: Metodologie pedagogického výzkumu I
Guaranteed by: Katedra pedagogiky (41-KPG)
Faculty: Faculty of Education
Actual: from 2012
Semester: winter
E-Credits: 3
Examination process: winter s.:
Hours per week, examination: winter s.:2/1, C+Ex [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Teaching methods: full-time
Note: course can be enrolled in outside the study plan
enabled for web enrollment
priority enrollment if the course is part of the study plan
Guarantor: prof. RNDr. PhDr. Hana Voňková, Ph.D. et Ph.D.
Incompatibility : ON2314002
Interchangeability : ON2314002
Is pre-requisite for: ON23142003
Is interchangeable with: ON2314504, ONPP147
Opinion survey results   Examination dates   WS schedule   Noticeboard   
Annotation -
The course prepares students to conducting qualitative and quantitative research in education. Students are taught to work independently with data using statistical software Gretl and R. The content of the course is divided into two parts - educational research methods and statistical analysis of data. In the first part, we, for example, discuss characteristics of qualitative and quantitative research, main steps in the research process and selected instruments of data collection. We also focuse on international comparative studies in education (PISA, TIMSS, CIVED etc.). In the second part, students are introduced to the basics of descriptive statistics (frequencies, measures of central tendency and variability, correlation coefficient, graphing data) and inferential statistics (hypotheses testing and linear regression) using selected examples and demonstration of data analyses in statistical software Gretl and R. Students are also introduced how to develop and analyse achievement tests.
Last update: KRIZOVH/PEDF.CUNI.CZ (19.09.2012)
Aim of the course -

The aim of the course is that students learn to conduct independently qualitative and quantitative research of a selected topic in education and critically evaluate the Czech public sector of education based on their knowledge about international comparative studies in education. Next, they learn to analyze data using selected statistical methods in softwares Gretl and R and statistically analyze achievement tests.

Last update: KRIZOVH/PEDF.CUNI.CZ (19.09.2012)
Literature - Czech

 

    • Gay, L.R., Mills, G.E., Airasian, P. Educational Research. Competencies for Analysis and Application. Upper Saddle River, NJ : Pearson Higher Education, 2008.

 

    • Hopkins, K. D. Educational and Psychological Measurement and Evaluation. Needham Heights, MA : Allyn and Bacon,1998.

 

    • Hendl, J. Přehled statistických metod zpracování dat: analýza a metaanalýza dat. Praha : Portál, 2004.

 

    • Hinkle, D.E., Wiersma, W., Jurs, S.G. Applied Statistics for the Behavioral Sciences. Boston : Houghton Mifflin, 2003.

 

    • Chrástka, M.: Didaktické testy. Brno: Paido, 1999.

 

    • Chrástka, M. Metody pedagogického výzkumu. Praha : Grada, 2007.

 

    • Shults, K.S., Whitney, D.J. Measurement Theory in Action. Thousand Oaks, CA: Sage Publications, 2005

 

    • Švaříček, R., Šeďová, K. Kvalitativní výzkum v pedagogických vědách. Praha : Portál, 2007.

 

Last update: KRIZOVH/PEDF.CUNI.CZ (19.09.2012)
Requirements to the exam - Czech

Zápočet

  • písemný návrh na provedení vlastního výzkumu

Zkouška

  • výsledek zkoušky: 60 % tvoří ústní zkouška a 40 % známky tvoří seminární práce (výzkumná zpráva o realizaci vlastního výzkumu)

  • ústní zkouška se skládá se dvou částí - a) diskuze o dvou náhodně vylosovaných otázkách z metod pedagogického výzkumu a b) zpracování dat ve vybraném statistickým softwaru pomocí zadaných statistických metod

Last update: KRIZOVH/PEDF.CUNI.CZ (31.10.2010)
Syllabus -

 

    • Qualitative and quantitative educational research - their characteristics and comparison and the most common types.

 

    • Main steps of research process (identifying a research problem, reviewing the literature, selecting participants, collecting data, analyzing and interpreting data, reporting and evaluating research).

 

    • Characteristics of a good research topic.

 

    • Questionnaire - construction, examples of questionnaires used in educational research.

 

    • Observation - example of structured observation a its use in educational research.

 

    • Types of attitude scales - Likert, semantic differential and rating scales.

 

    • Concept mapping.

 

    • International comparative studies in education - organizations conducting these studies, studies TIMSS and PISA and comparison of their goals, testing population and test items, results of Czech students in reading, scientific and mathematical literacy.

 

    • Descriptive statistics - frequencies, measures of central tendency and variability, correlation coefficient, graphing data.

 

    • Inferential statistics - population, random sample, normal distribution, hypotheses testing, error of the first and second kind, p-value. T-test, F-test, chi-square test and simple linear regression analysis.

 

    • Analyzing data using the described methods of descriptive and inferential statistics in free statistical softwares Gretl and R.

 

    • Achievement tests - types of achievement tests, types of test items, construction of achievement test, characteristics of test items - difficulty, sensitivity and analysis of distractors, validity and reliability of test - formulas for their computation, test standardization, examples of standardized tests, models for comparison of tests.

 

Last update: KRIZOVH/PEDF.CUNI.CZ (19.09.2012)