Course: Construction of tests and questionnaires

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Course title Construction of tests and questionnaires
Course code PCH/KTDB
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Dolejš Martin, PhDr. Ph.D.
  • Charvát Miroslav, Mgr. Ph.D.
Course content
Introductory lesson: - Completion of the course requirements (task request, a list of questions) - A reference to literature and Internet resources - What are the questionnaires? Questionnaire-based methods. - Sources of methods (purchasing, distribution, copying, licenses) - Validity - What we want to measure Questionnaire design I: - Basic socio-demographic data - Types of questions, scales, examples - Sequence, consistency, length of the questionnaire - Most common errors Questionnaire design II: - Ways of questioning, the adequacy with regard to target groups - Access to the answers of participants, estimates, strategies of filling up - The link to the research already carried out Questionnaire design III: - Graphic design - the evaluation, - the quality of data Questionnaire design IV: - Proofreading, external expert assessments (colleagues, supervisors, owners of rights) - Pilot testing and error correction - Informed consent, cover letter, ethics Implementation of the questionnaire from A to Z - Schedule - Contacting of participants and institutions - Time estimates, using batteries and other practical experience Internet Research: - Its validity, advantages and disadvantages, differences from the classic ways - Specific target groups - Technical solutions, cooperation with the programmer, samples Standardization of methods: - Creation of norm sample - Transfer of foreign methods, translation - Statistical methods for assessing reliability and validity Working with data: - Creation of a data set from collected raw data, coding systems - Export to and from programs (Excel, SPSS, statistics) - Practical examples Link to statistical processing: - Distribution of data, data quality - Comparing data from multiple methods - methods of statistical processing - Presentation of results in charts and tables Repeating Tutorial: - Answers to specific questions - students' ideas

Learning activities and teaching methods
Lecture, Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming), Work with Text (with Book, Textbook), Projection (static, dynamic)
  • Attendace - 20 hours per semester
  • Homework for Teaching - 30 hours per semester
  • Preparation for the Exam - 25 hours per semester
Learning outcomes
In this course students learn the principles and recommendations for the creation of questionnaires (including self-made questionnaires, the ways of questioning in relation to the target populations, they will see specific examples of using different types of questions and scales. The group discusses possibilities and limitations of the use of online surveying etc. The issue of transfering of foreign methods is also discussed. Other topis are as follows: combinations with standardized methods, batteries, development of norms, grafical design, ethics etc. This subject combine knowledge from psychometry, methodology and diagnostics as well.
Students will gain or intensify skills in creating a selfmade questionnaires, designing surveys (including online surveys). Furthermore, they become familiar with data processing. The key ability is the sense of gradual improvement and refinement of methods so it gain the maximum possible validity and reliability.
Prerequisites
This is an optional subject (category B). Students should have completed all the previously taught compulsory courses in the area of methodology.

Assessment methods and criteria
Oral exam, Analysis of Activities ( Technical works)

Students have to design their own questionnaire according to the recommendations and the basics gained at the course. Theme of the questionnaire is optional. The result of this exercise will be rated during final oral exam.
Recommended literature
  • Best, S. J., Krueger, B.S. (2004). Internet Data Collection. London Sage.
  • Disman, M. (1996). Jak se vyrábí sociologická znalost. Praha: Karolinum.
  • Groves, R.M. et al. (2004). Survey Methodology. New Yersey.
  • Hendl, J. (2004). Přehled statistických metod zpracování dat. Praha.
  • Říčan, P. (1977). Úvod do psychometrie. Bratislava.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Arts Study plan (Version): Psychology (2015) Category: Psychology courses 3 Recommended year of study:3, Recommended semester: Winter