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PSY230 HOMEWORK ASSIGNMENT #3:

ANOVAS

YOU MUST TURN IN 2 FILES TO CANVAS:

➢ The word document linked below, with your name on the front page and you answers typed in under each question in a

DIFFERENT COLOR FONT!

➢ Your SPSS output file titled with your last name and HW1Output, (example: Rhoads_HW1Output)

PROBLEM 1

There is some research indicating that college students who use Facebook while studying tend to

have lower grades than non-users (Kirschner & Karipinski, 2010). A study surveys students to

determine the amount of Facebook use during the time they are studying or doing homework. Based

on the amount of time spent on Facebook, students are classified into three groups and their grade

point averages (GPAs) are recorded. Here are the data:

Facebook use and GPA data among college students

Non-user Rarely Use Regularly Use

3.70 3.51 3.02

3.45 3.42 2.84

2.98 3.81 3.42

3.94 3.15 3.10

3.82 3.64 2.74

3.68 3.20 3.22

3.90 2.95 2.58

4.00 3.55 3.07

3.75 3.92 3.31

3.88 3.45 2.80

1. Use an ANOVA with α=.05 to determine whether there are significant mean differences among

the three groups.

2. Compute R² to measure the size of the effect (see page 346 or page 372 of the textbook).

3. Write a paragraph demonstrating how the result from the hypothesis test and the measure of the

effect size would appear in a research report (see page 350 of the textbook). Include the

appropriate descriptive statistics. Also include a few sentences on how these results can apply to

the real world.

PROBLEM 2

Several studies have supported the conclusion that health care providers who work late evening

shifts do not perform as well as providers who work shifts during day time hours. As a hospital

administrator, you have been charged with the task of determining if time of shift has an impact of

the quality of work of nurses at your hospital. You have collected reports on the quality of work for

nurses during the three shifts at your hospital: morning, afternoon and evening shifts.

Performance Scores for Randomly Selected Nursing Staff

Morning Afternoon Evening

90 99 90

84 85 57

76 78 62

97 50 80

59 81 80

88 82 78

79 77 45

94 71 60

90 40 68

85 91 72

1. Use an ANOVA with α=.05 to determine whether there are significant mean differences

among the three groups.

2. Compute R² to measure the size of the effect (see page 346 or page 372 of the textbook).

3. Write a paragraph demonstrating how the result from the hypothesis test and the measure of

the effect size would appear in a research report (see page 350 of the textbook). Include the

appropriate descriptive statistics. Also include a few sentences on how these results can

apply to the real world. Further, if there is a significant main effect, what are some things you

could do as the hospital administrator to help this shift work problem?