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Practice Participants were asked about their current romantic relationship (dating, married, or cohabitating) and the number of children they have (none,

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Presentation on theme: "Practice Participants were asked about their current romantic relationship (dating, married, or cohabitating) and the number of children they have (none,"— Presentation transcript:

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2 Practice Participants were asked about their current romantic relationship (dating, married, or cohabitating) and the number of children they have (none, one, or two). They also indicated how many arguments they had with their romantic partner during the past year. Use the data on the next page to complete the incomplete ANOVA table.

3 Source df SS MS F Children 188.58 Relationship 356.04 AB 371.96 Within Total

4 None One Two Dating 25 30 28 31 27 26 40 35 20 23 Married 11 18 22 15
Number of children None One Two Dating 25 30 28 31 27 26 40 35 20 23 Married 11 18 22 15 14 19 21 Cohabitating 24 9 16 13

5 Source df SS MS F Children 2 188.58 94.29 3.22 Relationship 356.04
178.02 6.07* AB 4 371.96 92.99 3.17* Within 36 29.31 Total 44 F critical A (2, 36) = 3.27 F critical B (2, 36) = 3.27 F critical AB (4, 36) = 2.64

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8 Remember You were asked to determine the effects of both college major (psychology, sociology, and biology) and gender (male and female) on class attendance

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10 Sociology Psychology Biology

11 Simple Effects The effect of one factor at one level on the other factor. Use to “tease apart” a significant interaction You wonder if college major has an effect on class attendance for just females? You wonder if male and female psychology students differ in their class attendance?

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13 Sociology Psychology Biology

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18 Simple Effects Why not just do 5 new analyses You will lose df!
2 ANOVAs 3 Independent Samples t-tests You will lose df! Type I error problem still exists

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20 Sociology Psychology Biology Mean Female 2.00 1.00 3.00 .00 Mean1j
2.67 1.67 1.78 Males 4.00 Mean2j Mean.j 3.67 3.17 0.33 2.33 2.06 Are these means different?

21 Simple Effects SS Major at Female
Represents the SS deviations of the treatment means around the Female mean Its multiplied by n to give an estimate of the population variance (Central limit theorem) Same formula as SSbetween in the one-way

22 Sociology Psychology Biology Mean Female 2.00 1.00 3.00 .00 Mean1j
2.67 1.67 1.78 Males 4.00 Mean2j Mean.j 3.67 3.17 0.33 2.33 2.06 SS M at Female = 3*((2.67 – 1.78)2 + (1.00 – 1.78)2 + (1.67 – 1.78)2 = 4.23

23 Note

24 Sociology Psychology Biology

25 Sociology Psychology Biology Mean Female 2.00 1.00 3.00 .00 Mean1j
2.67 1.67 1.78 Males 4.00 Mean2j Mean.j 3.67 3.17 0.33 2.33 2.06 Are these means different?

26 Simple Effects SS Major at Male
Same formula as SSbetween in the one-way

27 Sociology Psychology Biology Mean Female 2.00 1.00 3.00 .00 Mean1j
2.67 1.67 1.78 Males 4.00 Mean2j Mean.j 3.67 3.17 0.33 2.33 2.06 SS M at Male = 3*((3.67 – 2.33)2 + (3.00 – 2.33)2 + (0.33 – 2.33)2 = 18.71

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29 Sociology Psychology Biology

30 Sociology Psychology Biology Mean Female 2.00 1.00 3.00 .00 Mean1j
2.67 1.67 1.78 Males 4.00 Mean2j Mean.j 3.67 3.17 0.33 2.33 2.06 Are these means different?

31 Simple Effects SS Gender at Socio
Same formula as SSbetween in the one-way

32 Sociology Psychology Biology Mean Female 2.00 1.00 3.00 .00 Mean1j
2.67 1.67 1.78 Males 4.00 Mean2j Mean.j 3.67 3.17 0.33 2.33 2.06 SS G at Socio = 3*((2.67 – 3.17)2 + (3.67 – 3.17)2 = 1.5

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34 Sociology Psychology Biology

35 Sociology Psychology Biology Mean Female 2.00 1.00 3.00 .00 Mean1j
2.67 1.67 1.78 Males 4.00 Mean2j Mean.j 3.67 3.17 0.33 2.33 2.06 Are these means different?

36 Simple Effects SS Gender at Psych
Same formula as SSbetween in the one-way

37 Sociology Psychology Biology Mean Female 2.00 1.00 3.00 .00 Mean1j
2.67 1.67 1.78 Males 4.00 Mean2j Mean.j 3.67 3.17 0.33 2.33 2.06 SS G at Psych = 3*((1.00 – 2.00)2 + (3.00 – 2.00)2 = 6.00

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39 Sociology Psychology Biology

40 Sociology Psychology Biology Mean Female 2.00 1.00 3.00 .00 Mean1j
2.67 1.67 1.78 Males 4.00 Mean2j Mean.j 3.67 3.17 0.33 2.33 2.06 Are these means different?

41 Simple Effects SS Gender at Bio
Same formula as SSbetween in the one-way

42 Sociology Psychology Biology Mean Female 2.00 1.00 3.00 .00 Mean1j
2.67 1.67 1.78 Males 4.00 Mean2j Mean.j 3.67 3.17 0.33 2.33 2.06 SS G at Bio = 3*((1.67 – 1.00)2 + (0.33 – 1.00)2 = 2.69

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44 Overall ANOVA Source df SS MS F Gender 1 1.36 2.47 Major 2 14.16 7.08
12.87* G x M 8.83 4.42 8.03* Within 12 6.59 .55 Total 17 30.94

45 Simple Effects Source df SS MS F Gender G at Socio G at Psych G at Bio
Major M at Female M at Male Within 12 6.59 .55

46 Simple Effects Source df SS MS F Gender G at Socio G at Psych G at Bio
1.50 6.00 2.69 Major M at Female M at Male 4.23 18.71 Within 12 6.59 .55

47 Simple Effects Source df SS MS F Gender G at Socio G at Psych G at Bio
dfA (Gender) = a – 1 dfB (Major) = b – 1 Simple Effects Source df SS MS F Gender G at Socio G at Psych G at Bio 1 1.50 6.00 2.69 Major M at Female M at Male 2 4.23 18.71 Within 12 6.59 .55

48 Simple Effects Source df SS MS F Gender G at Socio G at Psych G at Bio
Compute MS Simple Effects Source df SS MS F Gender G at Socio G at Psych G at Bio 1 1.50 6.00 2.69 Major M at Female M at Male 2 4.23 18.71 2.12 9.36 Within 12 6.59 .55

49 Simple Effects Source df SS MS F Gender G at Socio G at Psych G at Bio
Compute F Simple Effects Source df SS MS F Gender G at Socio G at Psych G at Bio 1 1.50 6.00 2.69 2.72 10.91 4.89 Major M at Female M at Male 2 4.23 18.71 2.12 9.36 3.85 17.02 Within 12 6.59 .55

50 Simple Effects Source df SS MS F Gender G at Socio G at Psych G at Bio
F critical (1, 12) = 4.75 F critical B (2, 12) = 3.89 Simple Effects Source df SS MS F Gender G at Socio G at Psych G at Bio 1 1.50 6.00 2.69 2.72 10.91* 4.89* Major M at Female M at Male 2 4.23 18.71 2.12 9.36 3.85 17.02* Within 12 6.59 .55

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52 Practice ANOVA is from exercise 13.5 1) Interpret the ANOVA results
2) Plot the cell means 3) Compute an entire set of simple effects

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59 Source df SS MS F Delay D at Neutral D at Area A D at Area B 2 1.20 254.80 304.53 0.60 127.40 152.26 .02 4.34* 5.19* Area A at D 50 A at D 100 A at D 150 357.74 363.33 6.93 178.87 181.67 3.47 6.10* 6.19* .12 Within 36 29.31

60 Handout

61 SPSS Problem 13.1 Compute a factorial ANOVA
Conduct a complete set of simple effects (you can do this by hand)

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63 Bring computers to class!


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