Seminar 1 -_intro and data entry semester 2 (1)
๏ฝ Chosen research topic
๏ฝ Made contact with supervisor
๏ฝ Finished your introduction
๏ฝ ( due 26th January)
๏ฝ Have research design in place
๏ฝ Ideally collected data...or plan to in the next month
๏ฝ If you havenโ€™t already, read over the project
manual
๏ฝ Gives good advice on how to structure thesis
(e.g. what introduction should cover)
๏ฝ Gives marking scheme for thesis etc.
๏ฝ To support and assist in your data analysis
๏ฝ Will cover general issues in relation to research
projects
๏ฝ Note: for more specific questions you should
contact your supervisor
๏ฝ Will be taking a semi-structured approach
๏ฝ For next few weeks we will deal with key issues in
data entry and analysis
๏ฝ Brief refresher of spss skills
๏ฝ For bulk of class, you will work on your own
project and have an opportunity to ask questions
๏ฝ Setting up a data file and entering your data
โ—ฆ E.g. Understanding differences between scale,
nominal and ordinal data
โ—ฆ Labelling of variables
๏ฝ Recoding and computing of variables
๏ฝ Carrying out descriptive statistics
โ—ฆ Frequencies, mean, SD etc.
๏ฝ Basic inferential statistics
โ—ฆ Correlations
โ—ฆ Independent and dependent t-tests
โ—ฆ ANOVAs (one-way)
โ—ฆ Regression
๏ฝ It must be your own analysis, this is your
project, not your supervisorโ€™s.
๏ฝ Open the file on Data Entry on the moodle
page, this helpful booklet will remind you how to
set up your data set

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Seminar 1 -_intro and data entry semester 2 (1)

  • 2. ๏ฝ Chosen research topic ๏ฝ Made contact with supervisor ๏ฝ Finished your introduction ๏ฝ ( due 26th January) ๏ฝ Have research design in place ๏ฝ Ideally collected data...or plan to in the next month
  • 3. ๏ฝ If you havenโ€™t already, read over the project manual ๏ฝ Gives good advice on how to structure thesis (e.g. what introduction should cover) ๏ฝ Gives marking scheme for thesis etc.
  • 4. ๏ฝ To support and assist in your data analysis ๏ฝ Will cover general issues in relation to research projects ๏ฝ Note: for more specific questions you should contact your supervisor
  • 5. ๏ฝ Will be taking a semi-structured approach ๏ฝ For next few weeks we will deal with key issues in data entry and analysis ๏ฝ Brief refresher of spss skills ๏ฝ For bulk of class, you will work on your own project and have an opportunity to ask questions
  • 6. ๏ฝ Setting up a data file and entering your data โ—ฆ E.g. Understanding differences between scale, nominal and ordinal data โ—ฆ Labelling of variables ๏ฝ Recoding and computing of variables ๏ฝ Carrying out descriptive statistics โ—ฆ Frequencies, mean, SD etc.
  • 7. ๏ฝ Basic inferential statistics โ—ฆ Correlations โ—ฆ Independent and dependent t-tests โ—ฆ ANOVAs (one-way) โ—ฆ Regression ๏ฝ It must be your own analysis, this is your project, not your supervisorโ€™s.
  • 8. ๏ฝ Open the file on Data Entry on the moodle page, this helpful booklet will remind you how to set up your data set