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PSY4009 Introduction To Statistics And Data Analysis In Psychology

tag 0 Download 5 Pages / 1,207 Words tag 03-07-2021


  1. Identify the TEN ‘self-esteem’ items/statements from the Self-Esteem Scale (see the ‘scoring instructions’ document to identify those TEN items).
  2. Reverse code FIVE of the ten items/statements (see the ‘scoring instructions’ document to see which ones need to be reverse coded).
  3. Produce the mean of the TEN items/statements, the ones you just reverse coded and the ones you left the way they were so a higher mean score means higher ‘self esteem’.
  4. Identify the EIGHT ‘body shape’ items/statements from the Body Shape Questionnaire (see the ‘scoring instructions’ document to identify those EIGHT items).
  5. Produce the sum score of the EIGHT items/statements so a higher sum score means a higher level of worry about body shape. (If you decide to describe these 5 steps in your report, these should be reported under your ‘materials’ section when you describe the ‘self-esteem’ scale – instructions on how to conduct reverse coding have been given through a handout and can also be found on the internet and in most statistics’ books)
  6. Produce ‘Descriptive Statistics’ or ‘Frequencies’ on mean ‘self-esteem’ and on sum ‘body shape’ scores. Check for normal distribution of both ‘self-esteem’ and ‘body shape’ variables.
  7. Conduct the appropriate statistical test to investigate the relationship between ‘self-esteem’ and ‘body shape’.
  8. Produce the appropriate graph that demonstrates this relationship – or lack of. (The outcomes of steps 6 to 8 should be reported under your ‘results’ section – please also read the ‘format of research report’ document below

A title to briefly tell the reader what this research report is about. This is NOT the assignment title even though it will be related to it. Look for examples of titles in published papers.

  • Useful tip: refer to the variables you are interested in and maybe the study’s design

Outline of the study focusing on the aims, methodology, main findings and implications. Your abstract should include 1-2 sentences for each of these:

  • Aims (short introduction from literature and research question)
  • Methods (including study design, sampling)
  • Results (main finding(s))
  • Conclusion (main theoretical or practical Implications the results may have)

This sets the scene for the research. It starts with some background from the literature including findings from previous research and identifies any gaps in our knowledge. The literature review needs to demonstrate that you have read broadly on the topic and its wider context. It should conclude with your research question(s) or hypothesis.

This section needs to consist of the following sub-headings:

  • (Research) Design – You need to include a clear and scientific research design based on what has been covered in the module and apply it to your research question (e.g. experimental, survey, etc.)
  • Sample – Number and description of overall participants or groups, how your sample was chosen
  • Measurements or materials – Description of any instruments such as questionnaires or an interview schedule. If you want to include a full existing instrument in your report, this should be provided in an Appendix (refer the reader to it) and will not count towards your word limit.
  • Procedure – Detailed data collection procedures so that other researchers can replicate your methodology if required. Refer to ethical considerations too.

This section should include the correct inferential statistics and graphical representations of your analysis/results. Graphs and tables should be numbered and titled and they should ALSO be explained in the main text of this section. Useful things to remember are:

  • Provision of a table with means, number of participants and standard deviation by variable. The title of a table should be above the actual table
  • Provision of relevant and informative graph(s). The title of a graph should be under the actual graph and it should be referred to as
  • Comment on normality (or not) of distribution(s) that often determines the choice of test within a group of tests
  • Provision of inferential statistics (which test you used to find what and what did you actually find, provision of actual statistical numbers and their explanation)
  • Are there STATISTICALLY significant associations/findings (such as differences or correlations)?
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