IVc307 Measurement, Data Display and Interpretation, Experimental Design

Faculty of Education
Spring 2023
Extent and Intensity
0/0/3.7. 14 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. Mickey Keenan (lecturer)
Mgr. Zuzana Maštenová (lecturer)
Bc. Matúš Mader (seminar tutor)
prof. PhDr. Karel Pančocha, Ph.D., M.Sc. (seminar tutor)
Bc. Barbora Pavlíčková (seminar tutor)
PhDr. Helena Vaďurová, Ph.D., M.Sc. (seminar tutor)
Guaranteed by
prof. PhDr. Karel Pančocha, Ph.D., M.Sc.
Institute for Research in Inclusive Education – Faculty of Education
Contact Person: PhDr. Lenka Gajzlerová, Ph.D.
Supplier department: Institute for Research in Inclusive Education – Faculty of Education
Timetable of Seminar Groups
IVc307/01: Fri 3. 3. 9:00–16:50 učebna 77, Fri 31. 3. 9:00–16:50 učebna 76, Fri 21. 4. 9:00–16:50 učebna 76, Fri 19. 5. 9:00–16:50 učebna 76, K. Pančocha, H. Vaďurová
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course builds on the knowledge of course Introduction to Behavior Measurement and experimental design. Students learn on research procedures and designs for measuring behavior and methods for graphical presentations, interpretations and analyzes of behavioral data both in clinical practice and in behavioral research. The aim of the course is to learn participants with the most frequently used experimental design for the use of this knowledge in the practice of behavioral analysts. Students will learn to choose a measurement system and graphically present data, combine research designs and interpret behavioral data.
Learning outcomes
Will be able to objectively collect behavioral data
Will be able to prepare and interpret graphical representations of behavioral data
Will be able to measure, display and interpret results of behavioral interventions
Will be able to use behavioral forms and checklists
Will be able to evaluate different single subject designs with respect to the types of research questions for which they are appropriate
Will be able to design a behavior analysis oriented research question
Will have knowledge about advantages and disadvantages of single-subject experiemental design as compared with other experimental and non-experimental strategies
Will be able to evaluate the quality of published research based on single-subject experimental designs
Syllabus
  • operational definitions of behavior
  • direct, indirect, and product measures of behavior
  • occurrence (e.g., frequency, rate, percentage)
  • temporal dimensions of behavior (e.g., duration, latency, interresponse time)
  • form and strength of behavior (e.g., topography, magnitude)
  • trials to criterion
  • sampling procedures (i.e., interval recording, time sampling)
  • the validity and reliability of measurement procedures
  • measurement system to obtain representative data given the dimensions of behavior and the logistics of observing and recording
  • Graph data to communicate relevant quantitative relations (e.g., equal-interval graphs, bar graphs, cumulative records)
  • Interpret graphed data Distinguish between dependent and independent variables
  • Distinguish between internal and external validity
  • the defining features of single-subject experimental designs (e.g., individuals serve as their own controls, repeated measures, prediction, verification, replication)
  • the advantages of single-subject experimental designs compared to group designs
  • single-subject experimental designs (e.g., reversal, multiple baseline, multielement, changing criterion)
  • rationales for conducting comparative, component, and parametric analyses
Literature
  • Kennedy, C. H. (2005). Single-case designs for educational research. Prentice Hall.
  • Kratochwill, T. R., & Levin, J. R. (2014). Single-case intervention research: Methodological and statistical advances. American Psychological Association.
  • Bailey, J. S., & Burch, M. R. (2017). Research methods in applied behavior analysis. Routledge.
  • COOPER, John O., Timothy E. HERON and William L. HEWARD. Applied behavior analysis. Second edition. Harlow: Pearson, 2014, iv, 751. ISBN 9781292023212. info
Teaching methods
lecture, group discussion, discussion with experts, meeting and discussion with experts, problem learning, role plays, assigned reading (according to e-learning syllabus), group work and work with case studies, watching of instructional videos
Assessment methods
- have at least 80% attendance
- assigned reading, fulfillment of tasks
- active participation in lectures and meetings with professionals and experts
- project elaboration and final presentation
- analysis of selected instructional video and presentation
-final examination
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught each semester.
Information on the extent and intensity of the course: 45 hodin.
The course is also listed under the following terms Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Autumn 2022, Spring 2024, Spring 2025.

IVc515 Measurement, Data Display and Interpretation, Experimental Design

Faculty of Education
Spring 2023
Extent and Intensity
0/0/5.8. 8 credit(s). Type of Completion: zk (examination).
Teacher(s)
PhDr. Lenka Gajzlerová, Ph.D. (lecturer)
Mgr. Kateřina Chrapková (lecturer)
Mgr. Zuzana Maštenová (lecturer)
Mgr. Ivana Trellová (lecturer)
Bc. Matúš Mader (seminar tutor)
prof. PhDr. Karel Pančocha, Ph.D., M.Sc. (seminar tutor)
PhDr. Helena Vaďurová, Ph.D., M.Sc. (seminar tutor)
Guaranteed by
prof. PhDr. Karel Pančocha, Ph.D., M.Sc.
Institute for Research in Inclusive Education – Faculty of Education
Contact Person: PhDr. Lenka Gajzlerová, Ph.D.
Supplier department: Institute for Research in Inclusive Education – Faculty of Education
Timetable of Seminar Groups
IVc515/01: Fri 3. 3. 9:00–16:50 učebna 77, Fri 31. 3. 9:00–16:50 učebna 76, Fri 21. 4. 9:00–16:50 učebna 76, Fri 19. 5. 9:00–16:50 učebna 76, K. Pančocha, H. Vaďurová
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course builds on the knowledge of course Introduction to Behavior Measurement and experimental design. Students learn on research procedures and designs for measuring behavior and methods for graphical presentations, interpretations and analyzes of behavioral data both in clinical practice and in behavioral research. The aim of the course is to learn participants with the most frequently used experimental design for the use of this knowledge in the practice of behavioral analysts. Students will learn to choose a measurement system and graphically present data, combine research designs and interpret behavioral data.
Learning outcomes
Will be able to objectively collect behavioral data
Will be able to prepare and interpret graphical representations of behavioral data
Will be able to measure, display and interpret results of behavioral interventions
Will be able to use behavioral forms and checklists
Will be able to evaluate different single subject designs with respect to the types of research questions for which they are appropriate
Will be able to design a behavior analysis oriented research question
Will have knowledge about advantages and disadvantages of single-subject experiemental design as compared with other experimental and non-experimental strategies
Will be able to evaluate the quality of published research based on single-subject experimental designs
Syllabus
  • operational definitions of behavior
  • direct, indirect, and product measures of behavior
  • occurrence (e.g., frequency, rate, percentage)
  • temporal dimensions of behavior (e.g., duration, latency, interresponse time)
  • form and strength of behavior (e.g., topography, magnitude)
  • trials to criterion
  • sampling procedures (i.e., interval recording, time sampling)
  • the validity and reliability of measurement procedures
  • measurement system to obtain representative data given the dimensions of behavior and the logistics of observing and recording
  • Graph data to communicate relevant quantitative relations (e.g., equal-interval graphs, bar graphs, cumulative records)
  • Interpret graphed data Distinguish between dependent and independent variables
  • Distinguish between internal and external validity
  • the defining features of single-subject experimental designs (e.g., individuals serve as their own controls, repeated measures, prediction, verification, replication)
  • the advantages of single-subject experimental designs compared to group designs
  • single-subject experimental designs (e.g., reversal, multiple baseline, multielement, changing criterion)
  • rationales for conducting comparative, component, and parametric analyses
Literature
  • Kennedy, C. H. (2005). Single-case designs for educational research. Prentice Hall.
  • Kratochwill, T. R., & Levin, J. R. (2014). Single-case intervention research: Methodological and statistical advances. American Psychological Association.
  • Bailey, J. S., & Burch, M. R. (2017). Research methods in applied behavior analysis. Routledge.
  • COOPER, John O., Timothy E. HERON and William L. HEWARD. Applied behavior analysis. Third edition. Harlow: Pearson, 2020, 945 stran. ISBN 9781292324630. info
Teaching methods
lecture, group discussion, discussion with experts, meeting and discussion with experts, problem learning, role plays, assigned reading (according to e-learning syllabus), group work and work with case studies, watching of instructional videos
Assessment methods
- have at least 80% attendance
- assigned reading, fulfillment of tasks
- active participation in lectures and meetings with professionals and experts
- project elaboration and final presentation
- analysis of selected instructional video and presentation
-final examination
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: 30 h teorie 40 h cvičení.
Information on the extent and intensity of the course: 70 hodin.
The course is also listed under the following terms Autumn 2019, Spring 2021, Spring 2022, Spring 2024, Spring 2025.