1 / 17

What is Data?

What is Data?. EDUC 894 Week 3. Plan for Today. Reading Cheques & Tech Talk Erickan and Roth – What is Data? Human Subjects Discussion ----------Dinner Break------------- Groupwork & Team Consultations RQ honing + Methods & Methodology Planning Human Subjects / Logistics Planning

merv
Télécharger la présentation

What is Data?

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. What is Data? EDUC 894 Week 3

  2. Plan for Today • Reading Cheques & Tech Talk • Erickan and Roth – What is Data? • Human Subjects Discussion ----------Dinner Break------------- • Groupwork & Team Consultations • RQ honing + Methods & Methodology Planning • Human Subjects / Logistics Planning • For Next Week • Review relevant chapters in Creswell – what is useful? • Deliverable 1 Due Next Week

  3. Ercikan & Roth – What is Data?

  4. Data are Just Representations • Two aspects of phenomena in the world: • Quantitative (continuous, additive structure, magnitude) • Qualitative (discontinuous, non additive, multitude) • What’s the difference? • Let’s look at some examples: • Material Situation • Social Situation • Quick Check…

  5. Source: http://shrimpandgrits.rickandpatty.com/wp-content/uploads/2008/01/iodinesetup.jpg

  6. Source: http://images.theage.com.au/ftage/ffximage/2009/04/09/spirit_wideweb__470x314,0.jpg

  7. Quick Check • Which Kind of Data • Involves measurement? • Best represents someone’s ethnicity? • Lead to generalizable claims? • Is more objective?

  8. The Myth of Psychological Measurement • Classic Definition of Measurement • “the estimation of the ratio of a magnitude of a quantity to a unit of the same quantity” (Michell, 1999) • Quantity = number * unit • Once a base unit is defined, we can have any multiple • Example: The Kilogram • International prototype kept under 3 bell jars in a vault at the BIPM • 2 kg is twice as much mass as the base unit Image source: http://www.bipm.org/en/si/base_units/

  9. So what do we have in psychology? • Constructs: E.g. self-esteem • Do we all agree on what it is? • Theoretically, maybe:“the confidence and satisfaction a person has in him/herself” • How do we measure it? • Operational definitions • For example, a 3 factor definitions • Internal locus of control • Sense of belonging and acceptance • Sense of competence: • Indirectly through responses to specific questions on each factor (“a sampling of indicators”) • The common “Likert scale”

  10. So what do we have in psychology? 2 • But, what does 1 unit of self-esteem look like? • Do we all agree on this? • Is 2 units of self-esteem twice as much as 1 unit? • How do we know? • What does it mean to have 0 self-esteem • Can we have negative self-esteem? • Does self-esteem only vary in one way? • These may sound like silly questions – but statistical calculations assume that “quantities” have these properties

  11. Psychological Definition of Measurement • “The assignment of numbers to quantities of the properties of an object according to certain rules” (Stevens, 1946) • 4 Kinds of scales • Ratio (“Distance to where I am standing right now”) • Interval (“30o Celsius this weekend”) • Ordinal (“Toy Poodle is Best in Show”) • Nominal (“It’s a boy”) • Which takes us back to Erickan and Roth’s point…

  12. Erickan & Roth’s Call to Arms • Let your Research Questions drive your methods • What kind of question are you asking? • What is happening? • Is there a systemic effect? • Why/how is it happening? • What level of inference is required? • How will you collect and analyze data to make that inference? • How will both quantitative and qualitative aspects of the phenomenon your are studying come into play?

  13. Human Subjects Discussion

  14. Research Ethics – Key Concepts • Informed Consent • What information • How to consent • Right to Withdraw • Risks versus Benefits • Evaluating the trade-off • Anticipating & minimizing the risk • Informing the subjects • Confidentiality • Data storage and collection • Conflict of interest • Oversight • Course “review board” • Providing my contact information

  15. Dinner Break

  16. Groupwork & Team Consultations

  17. For Next Week • Review relevant chapters in Creswell • What is useful? • On your wiki collaboratively make a list of • Chapters you found useful • Specific points in the chapters to keep in mind as you craft your methods • Deliverable 1 Due Next Week • Please bring a hard copy to next class

More Related