Question

In: Statistics and Probability

A researcher is interested in investigating the hypotheses that college achievement is affected by: (1) home-schooling...

A researcher is interested in investigating the hypotheses that college achievement is affected by:

(1) home-schooling vs. public schooling;

(2) growing up in a dual-parent family vs. a single-parent family;

(3) the interaction of schooling and family type.

She locates 5 people that match the requirements of each cell in the 2 × 2 (schooling × family type) factorial design, as shown below. In the table, for Family Type 1 = dual-parent and 2 = single-parent, and for Schooling, 1 = home-schooling and 2 = public schooling.

a. What is the appropriate statistical test that we should do here?

b. Run the appropriate statistic in SPSS and report the results.

c. Spell out what the results tell the researcher about the main effect of family type on achievement, the main effect of schooling on achievement, and the interaction of family type and schooling on achievement.

Family Type

Schooling

Achievement

1

1

.50

1

1

.30

1

1

.43

1

1

.52

1

1

.41

1

2

.54

1

2

.29

1

2

.31

1

2

.47

1

2

.48

2

1

.12

2

1

.32

2

1

.22

2

1

.19

2

1

.19

2

2

.88

2

2

.69

2

2

.91

2

2

.86

2

2

.82

Solutions

Expert Solution

a. What is the appropriate statistical test that we should do here?

Two-Way ANOVA test

b. Run the appropriate statistic in SPSS and report the results.

c. Spell out what the results tell the researcher about the main effect of family type on achievement, the main effect of schooling on achievement, and the interaction of family type and schooling on achievement.

The hypothesis being tested is:

H0: There is no main effect of family type on achievement

Ha: There is a main effect of family type on achievement

The p-value is 0.032.

Since the p-value (0.032) is less than the significance level (0.05), we can reject the null hypothesis.

Therefore, we can conclude that there is a main effect of family type on achievement.

The hypothesis being tested is:

H0: There is no main effect of schooling on achievement

Ha: There is a main effect of schooling on achievement

The p-value is 0.000.

Since the p-value (0.000) is less than the significance level (0.05), we can reject the null hypothesis.

Therefore, we can conclude that there is a main effect of schooling on achievement.

The hypothesis being tested is:

H0: There is no interaction of family type and schooling on achievement

Ha: There is an interaction of family type and schooling on achievement

The p-value is 0.000.

Since the p-value (0.000) is less than the significance level (0.05), we can reject the null hypothesis.

Therefore, we can conclude that there is an interaction of family type and schooling on achievement.

Please give me a thumbs-up if this helps you out. Thank you!


Related Solutions

A researcher working for a drug company is interested in investigating the effect of storage  on the...
A researcher working for a drug company is interested in investigating the effect of storage  on the potency of one of the company’s drugs. 10 freshly produced bottles of the drug were  randomly selected and the potency measured. Another 10 freshly produced bottles of the  drug were randomly chosen and stored under controlled conditions for six months before  the potency was measured. Summary statistics are displayed below: Storage  n  Mean Std. Deviation  Fresh 10 10.37 0.3234 Stored 10 9.83 0.2406 (a) Carry out a t‐test to investigate...
A researcher is interested in investigating whether religious affiliation and the brand of sneakers that people...
A researcher is interested in investigating whether religious affiliation and the brand of sneakers that people wear are associated. The table below shows the results of a survey. Frequencies of Religions and Sneakers Nike Adidas Other Protestant 98 91 102 Catholic 52 52 99 Jewish 21 15 36 Other 63 65 77 What can be concluded at the α = 0.05 significance level? What is the correct statistical test to use? Independence Paired t-test Homogeneity Goodness-of-Fit What are the null...
A researcher was interested in investigating a relationship between the age (independent variable) of a driver...
A researcher was interested in investigating a relationship between the age (independent variable) of a driver and the distance the driver can see. For this purpose, he collected data on some drives. The data is provided in Appendix ‘1”. To help you, partial summary analysis is provided below: SSxx= 13,752 SSxy=- 41,350 SSyy=193,667 ∑ x = ∑ Age = 1,530; ∑ y = ∑(Distance the driver can see)=12,700 Age Distance 18 510 20 590 22 560 23 510 23 460...
A researcher is interested in investigating whether religious affiliation and the brand of sneakers that people...
A researcher is interested in investigating whether religious affiliation and the brand of sneakers that people wear are associated. The table below shows the results of a survey. Frequencies of Religions and Sneakers Nike Adidas Other Protestant 97 100 101 Catholic 54 61 100 Jewish 15 25 24 Other 85 61 73 What can be concluded at the αα = 0.10 significance level? What is the correct statistical test to use? Independence Paired t-test Homogeneity Goodness-of-Fit What are the null...
RESEARCH SUMMARY A researcher is interested in the relationship between watching TV and cognitive achievement. Cognitive...
RESEARCH SUMMARY A researcher is interested in the relationship between watching TV and cognitive achievement. Cognitive achievement is the ability to learn and remember information. The researcher hypothesized that the more TV a person watched, the lower their performance would be on tests of cognitive achievement. To test this hypothesis, the researcher recruited eighty young adults who live alone. They put a video camera in the living room of the dwelling. The individuals only had a TV in the living...
A researcher is interested in investigating whether living situation and pet ownership are dependent. The table...
A researcher is interested in investigating whether living situation and pet ownership are dependent. The table below shows the results of a survey. Frequencies of Living Situation and Pet SingleFamilyCouple Dog809171 Cat1039872 Various444342 None685942 What can be concluded at the αα = 0.05 significance level? What is the correct statistical test to use? Paired t-test Homogeneity Goodness-of-Fit Independence What are the null and alternative hypotheses? H0:H0: Pet ownership and living situation are independent. Pet ownership and living situation are dependent....
A researcher is interested in investigating the relationship between thinking ability and educational success. What are...
A researcher is interested in investigating the relationship between thinking ability and educational success. What are some operational definitions that could be used in this study?
You are interested in investigating whether gender and major are associated at your college. The table...
You are interested in investigating whether gender and major are associated at your college. The table below shows the results of a survey. Frequencies of Majors and Gender Math/Science Arts/Humanities Business/Econ. Other Men 83 89 100 56 Women 106 126 100 31 What can be concluded at the αα = 0.01 significance level? What is the correct statistical test to use? Independence Homogeneity Paired t-test Goodness-of-Fit What are the null and alternative hypotheses? H0:H0: College major and gender are dependent....
1. A researcher is interested in whether college students get enough sleep. She suspects that they...
1. A researcher is interested in whether college students get enough sleep. She suspects that they get less than 8 hours of sleep on average. The sample mean (x¯) for 65 students was 7.08 hours. The standard deviation of number of hours students slept is s=1.8. (a) Determine the null and alternative hypothesis for the test. What is the parameter in this study? (b) The p-value for the test is <0.0001. Using a significance level of .05, write a one...
A researcher is interested in understanding the effect of college education on wages. The workers in...
A researcher is interested in understanding the effect of college education on wages. The workers in one group have earned an AA (associate's) degree while members of the other group hold at least a bachelor's degree. The researcher would like to run a hypothesis test with α = .05 to see if those with a bachelor's degree have significantly higher hourly wages than those with an associate's degree. Bachelor's degree Participant Hourly wage 1 13.25 2 12.25 3 11.60 4...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT