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Correlation and Regression
Doctor of Education (EdD) Analysing, Interpreting and Using Educational Research (Research Methodology)
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Examples of correlation coefficients
© 2005 Robert Coe, University of Durham
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r = 0.3 © 2005 Robert Coe, University of Durham
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r = 0.5 © 2005 Robert Coe, University of Durham
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r = 0.7 © 2005 Robert Coe, University of Durham
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r = 0.9 © 2005 Robert Coe, University of Durham
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Grammar School selection
A test selects the top 25% at age 11: 11% failed who should not have 18% rightly passed 11% passed who should not have 60% rightly failed © 2005 Robert Coe, University of Durham Based on a correlation of 0.7
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Variance accounted for
Academic achievement r = 0.7 (r2 = 0.49) Cognitive measure of prior attainment / aptitude © 2005 Robert Coe, University of Durham
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Measure of socioeconomic status
Academic achievement r = 0.3 (r2 = 0.09) Low SES Measure of socioeconomic status High SES © 2005 Robert Coe, University of Durham
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Aggregated or Individual? “Ecological Fallacy”
Academic achievement Correlations for: Individual students = 0.3 School means = 0.9 Socioeconomic status School 1 + School 2 + School 3 + School 4 + © 2005 Robert Coe, University of Durham
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But add one extreme point ...
Beware small samples: r = 0.03 But add one extreme point ... r = 0.33 (n = 30) © 2005 Robert Coe, University of Durham
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Restricted range: © 2005 Robert Coe, University of Durham
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© 2005 Robert Coe, University of Durham
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Regression
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One school’s maths GCSE grades:
How good are they? A* A B C D E F G U 2 17 25 14 18 11 8 3 45% % FSM? =15% Socioeconomic status? School % 5A*-C? =56% Subject difficulty? Students’ability? Prior attainment? © 2005 Robert Coe, University of Durham
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Value Added as we know it:
Average performance for people with that test score A* A B C D E F G U RESIDUAL Average residual = 0.26 © 2005 Robert Coe, University of Durham YELLIS test score
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Cognitive © 2005 Robert Coe, University of Durham
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Social © 2005 Robert Coe, University of Durham
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© 2005 Robert Coe, University of Durham
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Output from SPSS: © 2005 Robert Coe, University of Durham
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Issues in regression Check residuals are Normally distributed
Check for collinearity in explanatory variables Use adjusted R2 Which explanatory variables to include? © 2005 Robert Coe, University of Durham
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Doctor of Education (EdD)
Regression to the mean Doctor of Education (EdD) Analysing, Interpreting and Using Educational Research (Research Methodology)
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Measures with less than perfect reliability
A test with test-retest correlation r=0.7 is repeated after an interval. What would you expect for the TEST 2 scores of A person who achieved a very high score on TEST 1 A person who achieved a very low score on TEST 1 How will the overall distribution of scores on the two tests compare? © 2005 Robert Coe, University of Durham
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© 2005 Robert Coe, University of Durham
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Two subgroups with different means
Students with high SES tend to get higher test scores. Two students have the same TEST 1 scores, but one is high SES, the other low SES. What would you expect their TEST 2 scores to be? © 2005 Robert Coe, University of Durham
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© 2005 Robert Coe, University of Durham
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Is social class more important than early ability?
Feinstein, L (2003) ‘Inequality in the early cognitive development of British children in the 1970 cohort’. Economica, 70, 277, © 2005 Robert Coe, University of Durham Feinstein (2003)
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Or is it just regression to the mean?
© 2005 Robert Coe, University of Durham
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