SPSS Homework 4 Instructions

Two-Way ANOVA

Part One:

Note: For the two-way ANOVA, you will be expected to create a line graph as covered in the SPSS tutorial in the Course Content (and not a boxplot as in the textbook). This applies to future cumulative questions as well.

Green & Salkind: Lesson 26, Exercises 1, 4, 5, 6, 7, and 8

The following helpful tips are numbered to correspond with the exercise number to which they refer (a dash indicates that no tips are needed):

1.Instead of identifying these values on your output, as the text states, please write them into your Word file aswritten answers for #1 a, b, c, and d. (2 pts for output; a-d = 2 pts each)

a. 3×3 Anova was conducted to investigate the effects of reinformecment schedules and arithmetic problem solving performance of second grade students the F value of the main effect was shown as 25.034 the total GPA mean was b. .196 with thec. effect sizeof ________ and d. thep value for the reinforce type main effect is .000

Tests of Between-Subjects Effects
Dependent Variable: Scores on an arithmetic problem-solving test
Source	Type III Sum of Squares	df	Mean Square	F	Sig.	Partial Eta Squared
Corrected Model	1927.455a	5	385.491	19.662	.000	.621
Intercept	56204.182	1	56204.182	2866.674	.000	.979
schedule	490.909	1	490.909	25.039	.000	.294
reinfor	1249.182	2	624.591	31.857	.000	.515
schedule * reinfor	187.364	2	93.682	4.778	.012	.137
Error	1176.364	60	19.606
Total	59308.000	66
Corrected Total	3103.818	65
a. R Squared = .621 (Adjusted R Squared = .589)

4.Produce a line graph instead of a boxplot for this problem. Follow directions in course SPSS tutorial for setting up a line graph. (2 pts)

5.Conduct a two way ANOVA to evaluat difference among the groups, according to gender and disability status of the child, in the amount of time fathers spent playing with their children (2 pts)

Between-Subjects Factors
	Value Label	N
Disability status of the child	1	Typically Developing	20
2	Physical Disability	20
3	Mental Retardation	20
Gender of Child	1	Male	29
2	Female	31

Descriptive Statistics
Dependent Variable: play
Disability status of the child	Gender of Child	Mean	Std. Deviation	N
Typically Developing	Male	7.30	1.829	10
Female	6.80	2.201	10
Total	7.05	1.986	20
Physical Disability	Male	3.00	1.563	10
Female	3.40	1.897	10
Total	3.20	1.704	20
Mental Retardation	Male	3.22	1.716	9
Female	4.00	1.612	11
Total	3.65	1.663	20
Total	Male	4.55	2.613	29
Female	4.71	2.369	31
Total	4.63	2.470	60

Levene’s Test of Equality of Error Variancesa
Dependent Variable: play
F	df1	df2	Sig.
.427	5	54	.828
Tests the null hypothesis that the error variance of the dependent variable is equal across groups.
a. Design: Intercept + disable + gender + disable * gender

Tests of Between-Subjects Effects
Dependent Variable: play
Source	Type III Sum of Squares	df	Mean Square	F	Sig.	Partial Eta Squared
Corrected Model	182.278a	5	36.456	11.081	.000	.506
Intercept	1276.571	1	1276.571	388.025	.000	.878
disable	178.579	2	89.289	27.140	.000	.501
gender	.763	1	.763	.232	.632	.004
disable * gender	4.294	2	2.147	.653	.525	.024
Error	177.656	54	3.290
Total	1648.000	60
Corrected Total	359.933	59
a. R Squared = .506 (Adjusted R Squared = .461)

Estimates
Dependent Variable: play
Disability status of the child	Mean	Std. Error	95% Confidence Interval
Lower Bound	Upper Bound
Typically Developing	7.050	.406	6.237	7.863
Physical Disability	3.200	.406	2.387	4.013
Mental Retardation	3.611	.408	2.794	4.428

Pairwise Comparisons
Dependent Variable: play
(I) Disability status of the child	(J) Disability status of the child	Mean Difference (I-J)	Std. Error	Sig.b	95% Confidence Interval for Differenceb
Lower Bound	Upper Bound
Typically Developing	Physical Disability	3.850*	.574	.000	2.700	5.000
Mental Retardation	3.439*	.575	.000	2.286	4.592
Physical Disability	Typically Developing	-3.850*	.574	.000	-5.000	-2.700
Mental Retardation	-.411	.575	.478	-1.564	.742
Mental Retardation	Typically Developing	-3.439*	.575	.000	-4.592	-2.286
Physical Disability	.411	.575	.478	-.742	1.564
Based on estimated marginal means
*. The mean difference is significant at the .05 level.
b. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).

6.I would use a three way comparison I would say by looking at the graph and data the data shows some significance and in order to maintain the intergrity of the study and data a three way comparison would be used.(2 pts)

7.All homework “Results sections” should follow the example given in the Course Content document “Writing Results of Statistical Tests in APA Format” (note: you do not have to refer to a figure). (2 pts)

Tests of Between-Subjects Effects
Dependent Variable: play
Source	Type III Sum of Squares	df	Mean Square	F	Sig.	Partial Eta Squared
Corrected Model	182.278a	5	36.456	11.081	.000	.506
Intercept	1276.571	1	1276.571	388.025	.000	.878
disable	178.579	2	89.289	27.140	.000	.501
gender	.763	1	.763	.232	.632	.004
disable * gender	4.294	2	2.147	.653	.525	.024
Error	177.656	54	3.290
Total	1648.000	60
Corrected Total	359.933	59
a. R Squared = .506 (Adjusted R Squared = .461)

A 3×3 Anova was conducted to determine the effects of three disability conditions (mental retardation, typical development, and physical disability) and two genders. F (1,54) = 27.140, p<.001 == .50

8.Produce a line graph instead of a boxplot for this problem. Follow directions in course SPSS tutorial for setting up a line graph. (2 pts)

Part Two:

1.A health psychologist is interested in the effects of exercise on stress in people who regularly exercise. Specifically, she is interested in the type of exercise as well as the time of day that the individual exercises. She recruits participants from a local health club who regularly participate in one of three types of exercise: swimming, aerobics, and tennis. She further divides these participants by whether they exercise in the morning or the evening. She then administers a questionnaire to each individual assessing their self-reported stress level. (HIGHER SCORE = HIGHER STRESS).Conduct a two-way ANOVA to analyze these data. Use Tukey’s test in order to conduct any necessary post hoc analyses if there are significant main effects. You do not have to follow up on significant interactions at this time.

The steps will be the same as the ones you have been practicing in Part One of the assignment—the only difference is that you are now responsible for creating the data file as well. Remember to name and define your variables under the “Variable View,” then return to the “Data View” to enter the data. (2 pts for output, – 1 pt if no post hoc)

Morning	Swimming	Aerobics	Tennis
10 16 12 16 9	19 21 16 18	17 21 18 14
Evening	14 13 8 12 12	17 12 14 9 10	12 15 19 14

2.Write an APA-style results section describing the outcome. All homework “Results sections” should follow the example given in the Course Content document “Writing Results of Statistical Tests in APA Format” (note: you do not have to refer to a figure). For the two-way ANOVA, be sure to include statistical statements concerning the F ratios and p values for both main effects and the interaction, and interpretation statements about all 3 of these effects. (2 pts)

3.Is there a significant interaction effect? (2 pts)

4.Based on your results, is there one type of exercise that seems more effective in reducing stress than the others? Remember that higher scores = higher stress. (2 pts)

This assignment is due by 11:59 p.m. (ET) on Monday of Module/Week 4.

Part Three: Cumulative Homework

1. An investigator in child development research is studying the development of object permanence – the understanding that an object still exists even if its out of sight. She tests three groups of infants – ten who are 9 months old, 8 who are 12 months old, and 10 who are 15 months old. She presents each of the infants with 10 trials. On each trial, a toy is first shown to the child and then covered with a piece of cloth. The infant demonstrates object permanence if he or she looks for the object when it’s covered. Each infant is given a score for the number of trials (out of 10) on which he or she shows object permanence. Is there a significant difference between the groups on demonstrations of object permanence? Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Follow the directions under the table below.

9 Months	8, 3, 4, 6, 5, 4, 9, 2, 0, 1
12 Months	10, 5, 6, 7, 6, 5, 10, 3
15 Months	10, 8, 9, 9, 8, 7, 9, 6, 6, 8

a)Paste appropriate SPSS output. (2 pts)

b)Paste appropriate SPSS graph. (2 pts)

c)Write an APA-style results section describing the outcome. All homework “Results sections” should follow the example given in the Course Content document “Writing Results of Statistical Tests in APA Format” (note: you do not have to refer to a figure). (2 pts)

2.A researcher wanted to investigate whether there was a difference in satisfaction ratings in an assisted living facility between residents who had a pet with them vs. those who did not have a pet. She administered a scale asking them to rate their overall satisfaction with the facility. Did having a pet have an impact on the residents’ overall satisfaction levels? Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Follow the directions under the table below (on next page).

Pet	47 42 35 46 49 39 40 46 52 40
No Pet	30 25 24 42 28 25

a)Paste appropriate SPSS output. (2 pts)

b)Paste appropriate SPSS graph. (2 pts)

c)Write an APA-style results section describing the outcome. All homework “Results sections” should follow the example given in the Course Content document “Writing Results of Statistical Tests in APA Format” (note: you do not have to refer to a figure). (2 pts)

Click here to have a similar paper done for you by one of our writers within the set deadline at a discounted…

SPSS Homework 4 Instructions

Two-Way ANOVA

Part One:

Note: For the two-way ANOVA, you will be expected to create a line graph as covered in the SPSS tutorial in the Course Content (and not a boxplot as in the textbook). This applies to future cumulative questions as well.

Green & Salkind: Lesson 26, Exercises 1, 4, 5, 6, 7, and 8

The following helpful tips are numbered to correspond with the exercise number to which they refer (a dash indicates that no tips are needed):

1.Instead of identifying these values on your output, as the text states, please write them into your Word file aswritten answers for #1 a, b, c, and d. (2 pts for output; a-d = 2 pts each)

a. 3×3 Anova was conducted to investigate the effects of reinformecment schedules and arithmetic problem solving performance of second grade students the F value of the main effect was shown as 25.034 the total GPA mean was b. .196 with thec. effect sizeof ________ and d. thep value for the reinforce type main effect is .000

Tests of Between-Subjects Effects
Dependent Variable: Scores on an arithmetic problem-solving test
Source	Type III Sum of Squares	df	Mean Square	F	Sig.	Partial Eta Squared
Corrected Model	1927.455a	5	385.491	19.662	.000	.621
Intercept	56204.182	1	56204.182	2866.674	.000	.979
schedule	490.909	1	490.909	25.039	.000	.294
reinfor	1249.182	2	624.591	31.857	.000	.515
schedule * reinfor	187.364	2	93.682	4.778	.012	.137
Error	1176.364	60	19.606
Total	59308.000	66
Corrected Total	3103.818	65
a. R Squared = .621 (Adjusted R Squared = .589)

4.Produce a line graph instead of a boxplot for this problem. Follow directions in course SPSS tutorial for setting up a line graph. (2 pts)

5.Conduct a two way ANOVA to evaluat difference among the groups, according to gender and disability status of the child, in the amount of time fathers spent playing with their children (2 pts)

Between-Subjects Factors
	Value Label	N
Disability status of the child	1	Typically Developing	20
2	Physical Disability	20
3	Mental Retardation	20
Gender of Child	1	Male	29
2	Female	31

Descriptive Statistics
Dependent Variable: play
Disability status of the child	Gender of Child	Mean	Std. Deviation	N
Typically Developing	Male	7.30	1.829	10
Female	6.80	2.201	10
Total	7.05	1.986	20
Physical Disability	Male	3.00	1.563	10
Female	3.40	1.897	10
Total	3.20	1.704	20
Mental Retardation	Male	3.22	1.716	9
Female	4.00	1.612	11
Total	3.65	1.663	20
Total	Male	4.55	2.613	29
Female	4.71	2.369	31
Total	4.63	2.470	60

Levene’s Test of Equality of Error Variancesa
Dependent Variable: play
F	df1	df2	Sig.
.427	5	54	.828
Tests the null hypothesis that the error variance of the dependent variable is equal across groups.
a. Design: Intercept + disable + gender + disable * gender

Tests of Between-Subjects Effects
Dependent Variable: play
Source	Type III Sum of Squares	df	Mean Square	F	Sig.	Partial Eta Squared
Corrected Model	182.278a	5	36.456	11.081	.000	.506
Intercept	1276.571	1	1276.571	388.025	.000	.878
disable	178.579	2	89.289	27.140	.000	.501
gender	.763	1	.763	.232	.632	.004
disable * gender	4.294	2	2.147	.653	.525	.024
Error	177.656	54	3.290
Total	1648.000	60
Corrected Total	359.933	59
a. R Squared = .506 (Adjusted R Squared = .461)

Estimates
Dependent Variable: play
Disability status of the child	Mean	Std. Error	95% Confidence Interval
Lower Bound	Upper Bound
Typically Developing	7.050	.406	6.237	7.863
Physical Disability	3.200	.406	2.387	4.013
Mental Retardation	3.611	.408	2.794	4.428

Pairwise Comparisons
Dependent Variable: play
(I) Disability status of the child	(J) Disability status of the child	Mean Difference (I-J)	Std. Error	Sig.b	95% Confidence Interval for Differenceb
Lower Bound	Upper Bound
Typically Developing	Physical Disability	3.850*	.574	.000	2.700	5.000
Mental Retardation	3.439*	.575	.000	2.286	4.592
Physical Disability	Typically Developing	-3.850*	.574	.000	-5.000	-2.700
Mental Retardation	-.411	.575	.478	-1.564	.742
Mental Retardation	Typically Developing	-3.439*	.575	.000	-4.592	-2.286
Physical Disability	.411	.575	.478	-.742	1.564
Based on estimated marginal means
*. The mean difference is significant at the .05 level.
b. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).

6.I would use a three way comparison I would say by looking at the graph and data the data shows some significance and in order to maintain the intergrity of the study and data a three way comparison would be used.(2 pts)

7.All homework “Results sections” should follow the example given in the Course Content document “Writing Results of Statistical Tests in APA Format” (note: you do not have to refer to a figure). (2 pts)

Tests of Between-Subjects Effects
Dependent Variable: play
Source	Type III Sum of Squares	df	Mean Square	F	Sig.	Partial Eta Squared
Corrected Model	182.278a	5	36.456	11.081	.000	.506
Intercept	1276.571	1	1276.571	388.025	.000	.878
disable	178.579	2	89.289	27.140	.000	.501
gender	.763	1	.763	.232	.632	.004
disable * gender	4.294	2	2.147	.653	.525	.024
Error	177.656	54	3.290
Total	1648.000	60
Corrected Total	359.933	59
a. R Squared = .506 (Adjusted R Squared = .461)

A 3×3 Anova was conducted to determine the effects of three disability conditions (mental retardation, typical development, and physical disability) and two genders. F (1,54) = 27.140, p<.001 == .50

8.Produce a line graph instead of a boxplot for this problem. Follow directions in course SPSS tutorial for setting up a line graph. (2 pts)

Part Two:

1.A health psychologist is interested in the effects of exercise on stress in people who regularly exercise. Specifically, she is interested in the type of exercise as well as the time of day that the individual exercises. She recruits participants from a local health club who regularly participate in one of three types of exercise: swimming, aerobics, and tennis. She further divides these participants by whether they exercise in the morning or the evening. She then administers a questionnaire to each individual assessing their self-reported stress level. (HIGHER SCORE = HIGHER STRESS).Conduct a two-way ANOVA to analyze these data. Use Tukey’s test in order to conduct any necessary post hoc analyses if there are significant main effects. You do not have to follow up on significant interactions at this time.

The steps will be the same as the ones you have been practicing in Part One of the assignment—the only difference is that you are now responsible for creating the data file as well. Remember to name and define your variables under the “Variable View,” then return to the “Data View” to enter the data. (2 pts for output, – 1 pt if no post hoc)

Morning	Swimming	Aerobics	Tennis
10 16 12 16 9	19 21 16 18	17 21 18 14
Evening	14 13 8 12 12	17 12 14 9 10	12 15 19 14

2.Write an APA-style results section describing the outcome. All homework “Results sections” should follow the example given in the Course Content document “Writing Results of Statistical Tests in APA Format” (note: you do not have to refer to a figure). For the two-way ANOVA, be sure to include statistical statements concerning the F ratios and p values for both main effects and the interaction, and interpretation statements about all 3 of these effects. (2 pts)

3.Is there a significant interaction effect? (2 pts)

4.Based on your results, is there one type of exercise that seems more effective in reducing stress than the others? Remember that higher scores = higher stress. (2 pts)

This assignment is due by 11:59 p.m. (ET) on Monday of Module/Week 4.

Part Three: Cumulative Homework

1. An investigator in child development research is studying the development of object permanence – the understanding that an object still exists even if its out of sight. She tests three groups of infants – ten who are 9 months old, 8 who are 12 months old, and 10 who are 15 months old. She presents each of the infants with 10 trials. On each trial, a toy is first shown to the child and then covered with a piece of cloth. The infant demonstrates object permanence if he or she looks for the object when it’s covered. Each infant is given a score for the number of trials (out of 10) on which he or she shows object permanence. Is there a significant difference between the groups on demonstrations of object permanence? Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Follow the directions under the table below.

9 Months	8, 3, 4, 6, 5, 4, 9, 2, 0, 1
12 Months	10, 5, 6, 7, 6, 5, 10, 3
15 Months	10, 8, 9, 9, 8, 7, 9, 6, 6, 8

a)Paste appropriate SPSS output. (2 pts)

b)Paste appropriate SPSS graph. (2 pts)

c)Write an APA-style results section describing the outcome. All homework “Results sections” should follow the example given in the Course Content document “Writing Results of Statistical Tests in APA Format” (note: you do not have to refer to a figure). (2 pts)

2.A researcher wanted to investigate whether there was a difference in satisfaction ratings in an assisted living facility between residents who had a pet with them vs. those who did not have a pet. She administered a scale asking them to rate their overall satisfaction with the facility. Did having a pet have an impact on the residents’ overall satisfaction levels? Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Follow the directions under the table below (on next page).

Pet	47 42 35 46 49 39 40 46 52 40
No Pet	30 25 24 42 28 25

a)Paste appropriate SPSS output. (2 pts)

b)Paste appropriate SPSS graph. (2 pts)

c)Write an APA-style results section describing the outcome. All homework “Results sections” should follow the example given in the Course Content document “Writing Results of Statistical Tests in APA Format” (note: you do not have to refer to a figure). (2 pts)

Click here to have a similar paper done for you by one of our writers within the set deadline at a discounted…