Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Pitfalls in data collection


Published on

Doctoral Dissertation help is often asked for in the final days of writing the dissertation - when some of these pitfalls are very hard to correct. Do you or a doctoral student you know worry about whether your work will pass the final defense? This presentation goes over some of the challenges that cause failure so that you might avoid it.

Published in: Education, Technology
  • Be the first to comment

  • Be the first to like this

Pitfalls in data collection

  1. 1. Thank You for coming We will start in just a moment Meanwhile sign in and say “hi” Please type any data questions you may have into the chat window at the bottom of the screen Also if you add your email, I will send you these slides
  2. 2. Pitfalls in data collection and analysis What goes wrong?
  3. 3. The overview – three ways to say the same thing… • Lack of internal consistency – purpose isn’t met by design, instruments or methods won’t result in answers to the question OR – a+ b can’t add up to c • Not enough data or those that you have are not convincing/credible/ well organized - etc = No “golden thread” each section has its own focus but does not tie back to the focus of your study
  4. 4. So what goes wrong with data? •Not enough of it •Not displayed so others can follow it •“Misses the plot”
  5. 5. Not enough of it A qualitative problem – Not enough words to code = weak codes, Leads to unconvincing themes Part of this is a population/sample problem – not enough makes us wonder…. “What would all the others say?”
  6. 6. Displaying Findings so Others Can Follow You- Do’s Develop and describe the findings of the thesis thoroughly so that you are completely credible to the reader. Take care to consistently and thoroughly address your aim and objectives of your study Keep revising until everything can be explained in simple terms. Apply your findings to broader social implications and make them operational and actionable (especially in social sciences).
  7. 7. Displaying Findings so Others Can Follow You– Don’t • Use statistics without being confident that your analysis answers the questions you are asking • Treat a write-up like a diary, with EVERYTHING in it rather than just what worked or was properly designed. No “Data Dumps”
  8. 8. “Misses the plot” Qualitative • Doesn’t answer the question • No clear path from data to results • Leaves us asking questions Quantitative • Misuse of statistical measures (descriptive, inferential, comparative, relational what are you using and why?) • Your reader should not have to understand statistics to understand your findings or results • Measures used for no apparent reason
  9. 9. Questions? Don’t be shy – someone else is probably wondering the same thing
  10. 10. Bias Confirmation Bias: In group Bias: Gambler’s Fallacy: Buyer’s Stockholm Syndrome Probability Neglect Observational Selection Bias: Status-Quo Bias: Negativity Bias Bandwagon Effect: Projection Bias: The Current Moment Bias: Anchoring Effect: Bias Blind Spot: for-doctoral-orientation.html
  11. 11. Design Issues Research Question Methodology & Data Source The actual questions you ask Population Data Analysis
  12. 12. The Right Population is Vitally Important Sub populations you can get your hands on Those who will answer your questions Are there enough people of the right type to answer your questions so that when you have analyzed their message they build a credible story? Greater Population All who could answer your questions Sub populations you can get your hands on Those who will answer your questions
  13. 13. Questions? Make the most of your time here – ask about anything that relates to doctoral research /writing
  14. 14. Upcoming News/Events New Monthly Content in Control Panel for Paying Members mid this coming week: • Video on normal vs outstanding dissertations • Pdf on argumentation Upcoming Conferences: July 28th - What makes for outstanding dissertations and thesis? August 11th - Writing an outstanding introduction to your thesis August 25th The golden thread - building internal consistency throughout your dissertation or thesis September 8th- Committees, defense and publishing: The end games 1. We started a forum but so far no-one has used it much: forum2.html 2. Like our Facebook page for contests this month – DNA membership/review of paper + hourly consultation