Describe the hypothetico-deductive method and probability theory and how it applies to scientific inference.
Psychlogy
Length: 750 Words
Quantitative research module
Aims
This module will enable students to critically appraise the variety of counting-based research methods that have been developed to make such enquiries. It will further enable students to design, conduct, and critique quantitative studies.
Learning outcomes
On successful completion of the module, students will be able to:
Knowledge
1 Describe the hypothetico-deductive method and probability theory and how it applies to scientific inference.
2 Explain the principles of the epistemology and sociology of science
3 Define validity, reliability, generalizability, statistical significance, and other key terms in quantitative research in the health and social sciences
Skills
4 Formulate testable hypotheses and identify appropriate research methods and participant samples
5 Review a published account of a quantitative study, outline its strengths and weaknesses and indicate what it contributes to knowledge in its topic area.
6 Demonstrate the ability to facilitate online methods for collaborative learning and discussion developments in the field.
Syllabus
Session 1 Grouping, counting and hypothesizing. Individual versus group data. Sources of error.
Session 2 Statistics, distributions, the normal distribution, means and variance.
Session 3 General principles of research design.
Session 4 Collecting and displaying data. Types of data e.g. continuous, dichotomous. Parametric and non-parametric statistics.
Session 5 Types of research: on populations. Sampling and surveys. Confounding and selection bias
Session 6 Types of research: on individuals. Selection, tests, interviews, questionnaires, self-ratings, observer ratings
Session 7 Questionnaire design. Psychometric properties. Consistency. Reliability. Validity
Session 8 Planning and designing a study. Power calculations. Ethics. Randomizing, control, wait list designs.
Session 9 Statistical significance. Practical significance. Replication and meta-analysis. Specificity and sensitivity: receiver operating characteristics.
Session 10 Reading and learning from the literature. A practical exercise.
Qualitative module
Aims
The aim of this module is to enable students to describe and contrast the main qualitative research methods and to illustrate various types of mixed method combinations. Students will be able to design, conduct, and critique qualitative studies and take into account how individuals interpret experience.
Learning outcomes
At successful completion, students will be able to:
Knowledge
1 Critically compare at least three different qualitative research methods and illustrate how different methods might answer a particular research question differently.
2 Critically evaluate the concept of fact or truth in qualitative research.
3 Describe the principles that would be used to decide on the sample, the sample size, the acquisition of data, and data analysis
Skills
4 Critically appraise the relevance of, and apply the principles of transparency and generalizability to, qualitative research
5 Examine the principles of a self-reflective account in the context of a qualitative study and describe the importance of reflexivity and the measures that should be taken to ensure that findings are independent of the prior opinions of the researcher
6 Appraise the fit between qualitative research methods and particular research questions and identify which research aims can be achieved by qualitative research
Syllabus
Session 1 Human and social science methods vs. natural science methods
Session 2 Induction and theory building.
Hermeneutics, interpretation, personal meaning and subjectivity, narrative versus objective truth. Experience vs. reality.
Session 3 Grounded theory and thematic methods, discourse analysis, participant-observation, template analysis. Phenomenological approaches.
Session 4 Formulating a research question.
Session 5 Locating and selecting research participants.
Session 6 Methods of data collection and validation. Semi-structured and unstructured interviews.
Session 7 Illustrations, anecdotes, case studies. The role of rhetoric in science and practice.
Session 8 Self-reflection. Reflexivity. Ethical considerations.
Session 9 Designing and conducting qualitative research.
Session 10 Mixing methods: the relative strengths and limitations of qualitative and quantitative research. Mixed qualitative methods.
Just to note that I’m currently using heuristic research methodology for my research.
Requirements: 750 | .doc file
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