What is the optimal way to measure human behaviour and monitor its trajectory across time? Is it possible to isolate the variables affecting one’s behaviour so we can study them? How do behaviour analysts conduct research? In this module, you will receive comprehensive training in defining, observing, recording, graphing, and analysing human behaviour and its controlling variables. You will be trained in state-of-the-art approaches to data collection and research methodologies central to Applied Behaviour Analysis and Positive Behaviour Support. By the end of the module, you will be empowered to critically reflect on ways to collect data, scrutinise the reliability and validity of existing evidence, adeptly design and implement single-case experimental designs, interpret and formulate comparative, component, and parametric analyses, interpret and calculate effect sizes pertinent to single-case designs, and engage in a reflective analysis of broader research methodologies, such as evidence synthesis and qualitative approaches.
Lecture (in person), (Distance Learning, Asynchronous-) 42
Synthesis session (in person), (Distance Learning Synchronous) 3
The module is compulsory for the following courses
MSc in Applied Behaviour Analysis and Positive Behaviour Support.
This module is not available as an optional module
Extended Writing Direct Observation and Data Collection Report 1,500 words worth 30%
Portfolio of Research Methods Exercises 2,500 words worth 70%- This Assessment is Pass Compulsory.
Reassessment Method: Like-for-like
The University is committed to ensuring that core reading materials are in accessible electronic format in line with the Kent Inclusive Practices. The most up to date reading list for each module can be found on the university's reading list pages.
See the library reading list for this module (Canterbury)
On successfully completing the module, students will be able to:
1) Adeptly design and implement advanced strategies to operationalise behaviour precisely for the purpose of data collection and critically select and apply different methods of observational measurement.2) Critically contrast, choose and adeptly employ diverse data display techniques, such as equal-interval graphs, bar graphs, and cumulative records, among others.
3) Assess and critique at an advanced level ethical considerations in research and the factors influencing the reliability, accuracy, and validity of different data collection and experimental methodologies, integrating internal-, external- validity and procedural fidelity considerations.
4) Critically analyse the fundamental qualities of single-case design methodologies, contrast and apply different single-case experimental designs, and critically compare them with alternative experimental methodologies.
5) Critically contrast, choose, and adeptly employ single-case experimental methodologies for the purposes of comparative, parametric, and component analyses of interventions grounded in applied behaviour analysis and positive behaviour support.
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