Psychology 2211(001) Assignment 7 1. Thirty six subjects are randomly assigned to one of twelve groups in a study investigating the separate and joint effects of imagery instruction and imagery vividness on recall. Four kinds of imagery instruction (passive, active, reactive, and control) and three kinds of imagery vividness (low, medium, and high) are used. Following treatment, all subjects are given a 30-item recall test, yielding the following data: Control Passive Low Med High Low Med High Active Reactive Low Med High 9 10 4 5 7 3 5 7 9 5 9 14 5 6 11 4 8 12 Low Med High 5 13 22 14 24 6 3 15 26 5 9 18 11 19 4 4 13 17 a) Fill out a complete 2-way ANOVA table and determine if the main effects for imagery instruction and imagery vividness, and the instruction x vividness interaction, are significant (each with a ≤.05). b) If a main effect for imagery vividness is found, perform Tukey post hoc tests to determine which means differ from one another.
Psychology 2211(001) Assignment 7 1. Thirty six subjects are randomly assigned to one of twelve groups in a study investigating the separate and joint effects of imagery instruction and imagery vividness on recall. Four kinds of imagery instruction (passive, active, reactive, and control) and three kinds of imagery vividness (low, medium, and high) are used. Following treatment, all subjects are given a 30-item recall test, yielding the following data: Control Passive Low Med High Low Med High Active Reactive Low Med High 9 10 4 5 7 3 5 7 9 5 9 14 5 6 11 4 8 12 Low Med High 5 13 22 14 24 6 3 15 26 5 9 18 11 19 4 4 13 17 a) Fill out a complete 2-way ANOVA table and determine if the main effects for imagery instruction and imagery vividness, and the instruction x vividness interaction, are significant (each with a ≤.05). b) If a main effect for imagery vividness is found, perform Tukey post hoc tests to determine which means differ from one another.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Answers:
1a)Instruction: F = 52.71, Reject Ho; Imagery: F = 198.68, Reject Ho; Interaction: F = 16.89, Reject Ho.
1b) High/Low: Qobt = 28.12; High/Med: Qobt = 14.47; Med/Low: Qobt = 13.65. Qcrit for all comparisons = 3.53.
1d) tcrit = ±2.064, tobt = 9.67, Reject Ho, Prediction not supported.
1e) tcrit = 2.492, tobt = 4.399, Reject Ho, Prediction supported.

Transcribed Image Text:Psychology 2211(001) Assignment 7
1. Thirty six subjects are randomly assigned to one of twelve groups in a study investigating the separate and joint effects of
imagery instruction and imagery vividness on recall. Four kinds of imagery instruction (passive, active, reactive, and control)
and three kinds of imagery vividness (low, medium, and high) are used. Following treatment, all subjects are given a 30-item
recall test, yielding the following data:
Control
Passive
Low Med High Low Med High
4
5 7
3
5
7
9
5
5 6 11
4
Active Reactive
Low Med High
9 10
9
14
8
12
Low Med High
5
6
5 9
18
4
11
19
4 13 17
13 22
14 24
3 15 26
a) Fill out a complete 2-way ANOVA table and determine if the main effects for imagery instruction and imagery vividness,
and the instruction x vividness interaction, are significant (each with a ≤.05).
b) If a main effect for imagery vividness is found, perform Tukey post hoc tests to determine which means differ from one
another.
c) If the instruction x vividness interaction is significant, draw a graph of the cell means and write a brief interpretation of the
interaction.
d) Prior to the experiment, it was predicted that the means in the low and medium imagery vividness conditions would not
differ from one another. Is this prediction borne out with a <.05?
e) Prior to the experiment, it was predicted that the mean in the active instruction condition would be significantly greater
than the mean in the passive instruction condition. Is this prediction borne out with a ≤.01?
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VIEWStep 4: Determine the mean square error and F statistics from the obtained sum of squares.
VIEWStep 5: Perform the two way anova for the given scenario.
VIEWStep 6: Determine the SM and q critical value for Tukey post hoc test.
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