1. Review of Analysis and Learning For the Critical Review Module 3 Paula Nottingham 10/11/11

3. Stages and steps to completing module Where are you now in the planning process – what do you need to do to complete the process?

6. Analysis of Findings: possible points to consider What did the data indicate about your topic, research question or hypothesis? What did you find out? The professional inquiry has been a way to gather data about something, a phenomenon or event or development or change. Often the findings are of great interest because they relate to how things actually are in your work environment. The inquiry tools that you used should have provided you with the evidence that you need for your inquiry . If not… why not?

7. Analysis of Findings: possible points to consider How do your findings relate to your literature i.e. earlier perceptions of the topic or critical arguments about the topic/issues/phenomenon? Use examples from your literature. Did the activities/events/interventions relate to your findings? Conclusion of this stage - what implications/benefits/impact did your inquiry have to your professional practice? Your workplace? Your community of practice? What additional knowledge and understanding do you have about your professional practice? Possible further inquiry topics?

8. Tools that were used for the Professional Inquiry Make sure to thoroughly discuss the one you used in your analysis. Literature Observation Survey Interview Focus Groups Don’t forget other gathering data tools like participant observation from your private journals, the gathering of documents while doing interviews, workshops, etc. You may have gathered visual or audio-visual materials that you need to consider for anonymity (this depends on the consent issues you agreed with your participants).

9. Analysing Observations (revisited) The data is gathered and displayed as descriptions, quotes, diagrams to show relationships, quantitative charts/displays to show quantitative data, audio, audio-visual, and photographic evidence, etc. Your observations record what has happened sensitively and appropriately to issues of ethics, permission and confidentiality. You need to report an understanding of the context for the event or meeting that was observed in order to draw conclusions from the data.

10. Analysing the survey/questionnaire data (revisited) The framework for data analysis of replies determined in advance. Coding your questionnaire: There are five steps involved in the coding process (Survey Monkey can export this data): 1. Develop the coding frame for both pre-coded (closed) and open questions. 2. Create a codebook and coding instructions. 3. Code the questionnaires. 4. Transfer the values to a computer (as in an Excel spreadsheet). 5. Check and clean the data (you can make simple graphs with the data). Interpretation involves identifying significant results, trends, patterns, similarities and differences and offering an explanation for them. This can be expressed in the form of numbers or words in your findings.

11. Analysing interviews (revisited) The analysis of data collected from interviews can be complex. It has been collected within a certain context or a variety of different ones and must be analysed with that in mind. The qualitative researcher can categorise (code) data that has emerged into themes. Quotes can be selected because they typify the data (common responses) or there might be some statements that are significant though only said once (significant). The data is organised so that comparisons, contrasts and evaluations can be made with the aim of finding the meaning of the evidence presented.

13. Harvard citation and bibliography The use of citation for words and images – any ideas that are quoted or paraphrased – you must reference these in a Bibliography, Review university guidelines on copyright. Use Harvard referencing – WORDS and PICTURES Advice on Harvard Referencing is in the Programme Handbook and under the Writing Tab for the BAPP Libguide