Registry
Module Specifications
Archived Version 2017 - 2018
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Description This module focuses on the rationale for, and application of, quantitative methodology to research problems in education. It challenges students to interrogate the epistemological and ontological principles underpinning quantitative research and the implications of adopting a positivist world view for one's research. Popular designs, (randomised control trials, pre-experimental, experimental, quasi-experimental, correlational, cohort...) and strategies (surveys, interventions, repeated measures....), and the strengths, limitations and challenges of each, are addressed. Students are encouraged to examine the applicability of the various options to their research in the context of their existing knowledge and skills and personal/professional commitments, interests and ambitions. | |||||||||||||||||||||||||||||||||||||
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Learning Outcomes 1. Evaluate one's philosophical stance/world view and the extent to which this 'fits with' the quantitative approach, in general, and the specific methodologies and strategies used in his/her research study. 2. Explain and craft appropriate and informed responses to key issues in quantitative inquiry (e.g., sample size; sampling frames, random assignment etc.; the selection of appropriate statistical tests; interpretation - significant, power, inferences etc; error, internal and external threats to validity and the objective stance of the researcher).... 3. Collect, code and input quantitative data correctly and efficiently. 4. Analyse, interpret and report accurately and appropriately the findings of quantitative inquiry. | |||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and
Learning Activities Development of hypotheses: Null, research..., assumptions, predictions...Sampling: Probability and non-probability...Instrumentation: Existing, pilot tested, self-developed instruments (surveys, tests, scales, checklists...)...Study Variables: Independent, dependent and control; implications for data analysis...Preparation of data for analysis: Coding, entering, cleaning manually and with appropriate software...Data analysis: Selecting appropriate tests, describing trends, comparing groups, relating variable - correlations...Interpreting and reporting results: Significance levels, one/two tailed, effect sizes, magnitude...Validity, reliability, generalisability, threats, error... | |||||||||||||||||||||||||||||||||||||
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Indicative Reading List | |||||||||||||||||||||||||||||||||||||
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Other Resources 27124, Annotated Reading List, 0, Reading list prepared for the EdD modules, Research Methods 1 and 2, | |||||||||||||||||||||||||||||||||||||
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