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My Correlation

Page history last edited by crump 8 months, 2 weeks ago
  1. Get a buddy (optional).
  2. Think of a topic--two things that you'd like to see how closely they correlate or not. 
  3. Develop an operational definition. We're looking for two main things here:
    1. Detail your procedures. What and how you'll do it. Also detail how you'll "crunch your numbers". The goal is to make it so clear that somebody else could take your explanation and replicate your actions.
    2. What and how will you quantify what you're studying? Remember the "Likert scale", you might use it for this.
  4. Set up your correlation
    1. You'll need two things to put to the test. At least one must be objective in nature. The example from class:
      1. Rate your interest in history from 1 to 10 (low to high). This is subjective (an opinion).
      2. Score on a history trivia quiz from 1 to 10. This is objective (there is no opinion, emotion involved). 
  5.  Make a prediction as to what your outcome will be. Will there be a correlation? Positive? Negative? None at all? How strong or weak?
  6. Collect data.
    1. Ask people to participate in your survey. Record the results. 
  7. Organize the data.
    1. You'll likely want to set up a chart to keep your data neat.
  8. Graph the results so they're shown visually.
  9. Offer a conclusion(s) and say whether your prediction was verified, disprove, or whether the results were confounding.
    1. Confounding results mean something in the process makes the results uncertain. If this is the case, that's okay, but explain why your results are confounded.
  10. Assemble your work "report style" to make it neat and so it communicates clearly. The parts would be: (1) an overview or intro, (2) operational definition, (3) predicted outcome, (4) explanation of how you'll get data (might be questions/observation), (5) the data/responses, (6) graph, (7) conclusion.
  11. We'll likely present the findings.
My Correlation
Points Report
 Data
Graph (scatterplot)
 Conclusion
4 Your report is assembled in a neat and clear manner that communicates well.

Data is thorough and is tabulated appropriately. Link to do the math: http://easycalculation.com/statistics/correlation.php

Operational definition is clear enough that the study could be replicated.

 Graph is neat and communicates the data well.
The conclusion is data-based and clearly verifies or disproves the predicted outcome.
3 Your report is orderly.

Data is present and tabulated, but may be a bit low in numbers (not enough people in it).

Operational definition is mostly clear.

 Graph communicates the data.
The conclusion is data-based but a link to the prediction may be unclear.
2 Your report is a bit messy or is a bit confusing.

Data may be minimal or tabulated inappropriately.

Operational definition is present but unclear.

 Graph may be messy, hard to understand, or inaccurate.
The conclusion is present but may not be data-linked or a link to the prediction may be unclear.
1 Your report is messy and confusing.

Data is minimal.

No operational definition or very unclear one.

 Graph is present, but poor.
The is a conclusion, but it's based on little or no data.
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