Analysis of trend Chapter 5

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The Data Intertrial Interval (A) 0 seconds 20 seconds 40 seconds 60 seconds a 1 a 2 a 3 a 4 4 18 24 16 6 13 19 17 10 15 21 13 9 11 16 23 11 13 15 21
Testing for Linear Trend A way of assessing linear trend is to use a set of coefficients that represents an idealized version of a straight line (see Appendix A.3 on p. 577). Note that there are a-1 number of the orthogonal polynomials. For our example, this would be: c 1 c 2 c 3 c 4 -3 -1 1 3
Page 1 and 2: ANALYSIS OF TREND CHAPTER 5 ERSH 83
Page 3 and 4: Today’s Example Data Training Tim
Page 5 and 6: The Task… P. 89, continued…
Page 7 and 8: Trend Analysis Trend analysis is a
Page 9: Tracking Task…Bringing You To Our
Page 13 and 14: Example in SPSS Click on the “Co
Page 15 and 16: Means Plot (Is There A Trend?)
Page 17 and 18: We Can Formulate Our Contrast
Page 19 and 20: Contrast Coefficients The c 1j are
Page 21 and 22: Evaluating the Linear Fit It can b
Page 23 and 24: Analysis of Quadratic Trend A quad
Page 25 and 26: Testing Quadratic Trend with df num
Page 27 and 28: SPSS Output Is our quadratic trend
Page 29 and 30: Higher-Order Trend Components Test
Page 31 and 32: Issues in Trend Analysis There are
Page 33 and 34: Final Thought Trend analysis take

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