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SPSS. Collect. Chapter 12. A Priori and Post Hoc Comparisons Multiple t-tests Linear Contrasts Orthogonal Contrasts Trend Analysis Bonferroni t Fisher Least Significance Difference Studentized Range Statistic Dunnett’s Test. Multiple t-tests.
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SPSS • Collect
Chapter 12 • A Priori and Post Hoc Comparisons • Multiple t-tests • Linear Contrasts • Orthogonal Contrasts • Trend Analysis • Bonferroni t • Fisher Least Significance Difference • Studentized Range Statistic • Dunnett’s Test
Multiple t-tests • Good if you have just a couple of planned comparisons • Do a normal t-test, but use the other groups to help estimate your error term • Helps increase you df
Hyp 1: Juniors and Seniors will have different levels of happiness Hyp 2: Seniors and Freshman will have different levels of happiness
Chapter 12 • A Priori and Post Hoc Comparisons • Multiple t-tests • Linear Contrasts • Orthogonal Contrasts • Trend Analysis • Bonferroni t • Fisher Least Significance Difference • Studentized Range Statistic • Dunnett’s Test
Linear Contrasts • You think that Freshman and Seniors will have different levels of happiness than Sophomores and Juniors
Linear Contrasts • Allows for the comparison of one group or set of groups with another group or set of groups
Linear Contrasts a = weight given to a group
Linear Contrasts 1 2 3 4 a1 = 0, a2 = 0, a3 = 1, a4 = -1 L = -23 a1 = 1, a2 = 0, a3 = 0, a4 = -1 L = -9 a1 = .5, a2 = -.5, a3 = -.5, a4 = .5 L = 80.5 – 67 = 13.5
SS Contrast • You can use the linear contrast to compute a SS contrast • SS contrast is like SS between • SS contrast has 1 df • SS contrast is like MS between
SS Contrasts a1 = .5, a2 = -.5, a3 = -.5, a4 = .5 L = 80.5 – 67 = 13.5
SS Contrasts a1 = .5, a2 = -.5, a3 = -.5, a4 = .5 L = 80.5 – 67 = 13.5 n = 6 L = 13.5 Sum a2 = .52+-.52+ -.52 + .52 = 1
SS Contrasts a1 = .5, a2 = -.5, a3 = -.5, a4 = .5 L = 80.5 – 67 = 13.5 n = 6 L = 13.5 Sum a2 = .52+-.52+ -.52 + .52 = 1
SS Contrasts a1 = 1, a2 = -1, a3 = -1, a4 = 1 L = 161 – 134 = 27
SS Contrasts a1 = 1, a2 = -1, a3 = -1, a4 = 1 L = 161 – 134 = 27 n = 6 L = 27 Sum a2 = 12+-12+ -12 + 12 = 4
SS Contrasts a1 = 1, a2 = -1, a3 = -1, a4 = 1 L = 161 – 134 = 27 n = 6 L = 27 Sum a2 = 12+-12+ -12 + 12 = 4
F Test Note: MS contrast = SS contrast
F Test Fresh & Senior vs. Sophomore & Junior
F Test Fresh & Senior vs. Sophomore & Junior
F Test Fresh & Senior vs. Sophomore & Junior F crit (1, 20) = 4.35
Make contrasts to determine • If seniors are happier than everyone else? 2) If juniors and sophomores have different levels of happiness?
If seniors are happier than everyone else? a1 = -1, a2 = -1, a3 = -1, a4 = 3 L = 45 F crit (1, 20) = 4.35
2) If juniors and sophomores have different levels of happiness? a1 = 0, a2 = -1, a3 = 1, a4 = 0 L = -10 F crit (1, 20) = 4.35
Chapter 12 • A Priori and Post Hoc Comparisons • Multiple t-tests • Linear Contrasts • Orthogonal Contrasts • Trend Analysis • Bonferroni t • Fisher Least Significance Difference • Studentized Range Statistic • Dunnett’s Test
Contrasts • Some contrasts are independent • Freshman vs. Sophomore (1, -1, 0, 0) • Junior vs. Senior (0, 0, 1, -1) • Some are not • Freshman vs. Sophomore, Junior, Senior (3, -1, -1, -1) • Freshman vs. Sophomore & Junior (2, -1, -1, 0)
Orthogonal Contrasts • If you have a complete set of orthogonal contrasts • The sum of SScontrast = SSbetween
Orthogonal Contrasts • 1) ∑ aj = 0 • Already talked about • 2) ∑ aj bj = 0 • Ensures contrasts of independent of one another • 3) Number of comparisons = K -1 • Ensures enough comparisons are used
Orthogonal Contrasts • ∑ aj bj = 0 • Fresh, Sophomore, Junior, Senior • (3, -1, -1, -1) and (2, -1, -1, 0) • (3*2)+(-1*-1)+(-1*-1) = 8
Orthogonal Contrasts • ∑ aj bj = 0 • Fresh, Sophomore, Junior, Senior • (-1, 1, 0, 0) & (0, 0, -1, 1) • (-1*0)+(1*0)+(-1*0)+(1*0) = 0 • *Note: this is not a complete set of contrasts (rule 3)
Orthogonal Contrasts • Lets go to five groups • What would the complete set contrasts be that would satisfy the earlier rules?
Orthogonal Contrasts • General rule • There is more than one right answer
Orthogonal Contrasts Fresh, Soph, Jun, Sen, Grad Fresh & Soph vs. Jun, Sen, & Grad Fresh vs. Soph Jun & Sen vs. Grad Jun vs. Sen
Orthogonal Contrasts Fresh, Soph, Jun, Sen, Grad Fresh & Soph vs. Jun, Sen, & Grad Fresh vs. Soph Jun & Sen vs. Grad Jun vs. Sen 2 limbs are created The elements on different limbs can not be combined with each other Elements on the same limbs can be combined with each other (making new limbs)
Orthogonal Contrasts Fresh, Soph, Jun, Sen, Grad Fresh & Soph vs. Jun, Sen, & Grad Fresh vs. Soph Jun & Sen vs. Grad Jun vs. Sen
Orthogonal Contrasts Fresh, Soph, Jun, Sen, Grad Fresh & Soph vs. Jun, Sen, & Grad Fresh vs. Soph Jun & Sen vs. Grad Jun vs. Sen
Orthogonal Contrasts Fresh, Soph, Jun, Sen, Grad Fresh & Soph vs. Jun, Sen, & Grad Fresh vs. Soph Jun & Sen vs. Grad Jun vs. Sen
Orthogonal Contrasts Fresh, Soph, Jun, Sen, Grad Fresh & Soph vs. Jun, Sen, & Grad Fresh vs. Soph Jun & Sen vs. Grad Jun vs. Sen 3, 3, -2, -2, -2
Orthogonal Contrasts Fresh, Soph, Jun, Sen, Grad Fresh & Soph vs. Jun, Sen, & Grad Fresh vs. Soph Jun & Sen vs. Grad Jun vs. Sen 3, 3, -2, -2, -2 1, -1, 0, 0, 0
Orthogonal Contrasts Fresh, Soph, Jun, Sen, Grad Fresh & Soph vs. Jun, Sen, & Grad Fresh vs. Soph Jun & Sen vs. Grad Jun vs. Sen 3, 3, -2, -2, -2 1, -1, 0, 0, 0 0, 0, 1, 1, -2
Orthogonal Contrasts Fresh, Soph, Jun, Sen, Grad Fresh & Soph vs. Jun, Sen, & Grad Fresh vs. Soph Jun & Sen vs. Grad Jun vs. Sen 3, 3, -2, -2, -2 1, -1, 0, 0, 0 0, 0, 1, 1, -2 0, 0, 1, -1, 0
Orthogonal Contrasts • 1) ∑ aj = 0 • 2) ∑ aj bj = 0 • 3) Number of comparisons = K -1 • 3, 3, -2, -2, -2 • 1, -1, 0, 0, 0 • 0, 0, 1, 1, -2 • 0, 0, 1, -1, 0
Orthogonal Contrasts • 1) ∑ aj = 0 • 2) ∑ aj bj = 0 • 3) Number of comparisons = K -1 • 3, 3, -2, -2, -2 = 0 • 1, -1, 0, 0, 0 = 0 • 0, 0, 1, 1, -2 = 0 • 0, 0, 1, -1, 0 = 0