Phil12_S11_Predicting_from_correlations(5-3-2011)

Phil12_S11_Predicting_from_correlations(5-3-2011) -...

Info iconThis preview shows pages 1–10. Sign up to view the full content.

View Full Document Right Arrow Icon
Predicting from correlations Phil 12: Logic and Decision Making Spring 2011 UC San Diego 5/3/2011 Tuesday, May 3, 2011
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Paper 1 Due by 11am Thursday May 12th - late penalty: 1 full letter grade per day late Will post instructions (with topics) on course website, send out email via Tritonlink - 1-2 pages (2 pages max) - Must write about topic for your section 2 Tuesday, May 3, 2011
Background image of page 2
Review - 1 Correlations: relations between variables - May or may not be causal - Enable prediction of value of one variable from value of another To test correlational (and causal) claims, need to make predictions that are testable - Operationally “deFne” terms - Construct validity Tuesday, May 3, 2011
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Construct validity http://news.sciencemag.org/sciencenow/2011/04/what-does-iq-really-measure.html?ref=hp Tuesday, May 3, 2011
Background image of page 4
No correlation Negative correlation Nonlinear correlation Positive correlation Tuesday, May 3, 2011
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Measuring correlation Karl Pearson developed a measure of correlation, known as Pearson’s Product Moment Correlation (r) -1.0 1.0 0 Perfect negative correlation No correlation Perfect positive correlation Tuesday, May 3, 2011
Background image of page 6
Measuring correlation Very rough guidelines: Value of r Strength of relationship 0 no correlation -0.25 to 0 0 to 0.25 weak -0.5 to -0.25 0.25 to 0.5 moderate -1 to -0.5 0.5 to 1 strong Tuesday, May 3, 2011
Background image of page 7

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Pearson Correlation CoefFcient Pearson’s Product Moment Correlation r = .857 - Notable features: Positive value: as spelling score increases, math score tends to increase as well Very high: correlation strong (as opposed to moderate or weak) - Therefore: Strong positive correlation between spelling scores and math scores Participant 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Spelling 15 14 15 12 6 4 8 9 9 12 18 13 10 10 11 Math 12 17 17 12 8 5 10 9 8 14 16 14 10 13 15 Tuesday, May 3, 2011
Background image of page 8
A. GPA and time spent studying are unrelated to one another B. As time spent studying increases so does GPA; the correlation is weak in strength C. As time spent studying increases so does GPA; the correlation is moderate in strength D. As time spent studying increases, GPA decreases; the correlation is weak in strength E. As time spent studying increases, GPA decreases; the correlation is moderate in strength A study was conducted of the relationship between time spent studying and GPA, reporting a correlation of r = 0.37. Which of the following characterizes the relationship between
Background image of page 9

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 10
This is the end of the preview. Sign up to access the rest of the document.

Page1 / 33

Phil12_S11_Predicting_from_correlations(5-3-2011) -...

This preview shows document pages 1 - 10. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online