Week 9: Regression..  Looked at data from maths questionnaire.  Hypotheses.  Chi-Square problem sheet.

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Presentation transcript:

Week 9: Regression.

 Looked at data from maths questionnaire.  Hypotheses.  Chi-Square problem sheet.

 Lab report reminders.  Regression problem sheet.

Word limit: 2000 (not including title, abstract, or references) SectionMax. marks Content Title2IV and DV (precise and no more than 15 words) Abstract12Maximum 150 words, summary of all sections Introduction20Past research; rationale; hypotheses Methods20Participants; materials; design; procedure – in enough detail for someone else to replicate the study Results20Clear and logical descriptive and inferential stats; well designed figures related to the findings Discussion20Summary of main results, relating to introduction; evaluation of study, suggestions for future References6Full APA-style references for all citations in main text Appendices0Questionnaire, by-hand workings out…

 Straightforward and informative (not more than 15 words)  Enough to explain your study without going into too much detail  Examples: › Too little detail: Fast food purchases › Too much detail: Differences in the fast food purchasing habits of men and women in the last month in Brighton › Just right: Differences in the fast food purchasing habits of men and women 2 marks: identifies the IV and DV, not too vague or too long, encapsulates the purpose of the report well.

 Must have:  Explanation of research area  Aims  Main results and interpretations  Implications of your results for science and/or society  words 8+ marks: clear and succinct (150 words at most) summary of the aims, methods, results and conclusions of the study. Includes all the necessary information, and is well written.

 Quick explanation of research area  Summary of relevant past research (and perhaps its flaws)  Purpose of study  Brief description of methods  Hypothesis  words 15+ marks: clearly written, well structured, with evidence of relevant extra reading, flows well. Identifies the main aims, and ends with a clear outline of the study's hypotheses. Also has something novel in it, compared to the handouts that were supplied, and includes the rationale for performing the study.

 Give enough information so that it is obvious what you did  Subsections: ◦ Participants ◦ Materials ◦ Design ◦ Procedure Write in paragraphs (no lists!)

 Number of participants  Sex (# of men, # of women)  Who (students, women, the retired, etc)  Volunteers or paid?  Any other demographics that might be necessary

 Things you used: ◦ Questionnaire (do not include the whole thing!) ◦ Any other materials you think are necessary to include ◦ DON’T INCLUDE: Pen, A4 paper, etc.

 Identify: ◦ Independent variable(s) ◦ Dependent variable(s) ◦ Design: within-subjects, between-subjects or mixed?  Don’t worry about this section this term  Just say you used a questionnaire design

 Explain how the experiment was carried out  Step by step breakdown of what was done  Informed consent

◦ Inferential statistics (Chi-Square test; regression; correlation). ◦ Figure (Chi-square – frequency; regression/correlation – scatter plot). ◦ N.B. if it’s a bar chart report the Frequencies/means & SEs in text.

Figure 1: the frequency of monster attacks by Aliens and Predators in America, Britain and China.

 Summary of purpose and results  Comparison to previous research  Possible faults  Wider implications (back up your assertions)  Future directions  Conclusions  words 15+ marks: clear summary of main results, followed by a successful attempt to relate the findings to relevant previous theoretical and empirical research. Intelligent evaluation of the strengths, weaknesses and limitations of the study that was performed, and sensible suggestions for possible improvements and extensions to it. Well organised and clearly written.

 APA formatting (references)  Purple prose  Orwell’s 6 rules

Predicted variable goes in here Predictor variable goes in here

Normally, redo graphs in Excel – but for this scatterplot, edit it within SPSS (by double-clicking on the graph).