a. State the hypotheses for this statistical test using proper notation/symbols. b. Do the data meet all the assumptions of the appropriate statistical test (i.e., assumption checks)? Why or why not? (please include screenshots of the relevant part of the jamovi output to support your answers) c. Calculate the t-statistic by hand. Note, this involves a series of steps and calculations (e.g., one of those steps involves calculating sum of squares). Please show work and calculations for each step. Refer to the Inhibition Errors.csvfile to retrieve the data for your calculations. d. Conduct the appropriate t-test in jamovi and include a screenshot of the main analysis table from jamovi as your answer to this question. Verify that the t-statistic you calculated by hand in 2c) matches the value in the t-test table displayed in jamovi. e. Make a decision about the null hypothesis using a = .05. Why did you make this decision? f. Write up the results of this statistical test in APA format, relating your decision back to the research question. Be sure to include all elements of the write up that are required.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Inhibitory control, a key component of executive functions, involves the ability to inhibit
automatic but incorrect responses and is commonly assessed via the Go/No-Go task.
Executive function abilities like inhibitory control develop rapidly in early childhood and
have been shown to contribute to early school success. The Go/No-Go task is frequently used
to assess inhibitory control in children. In this task, children are told to respond to one
stimulus on go trials but make no response to another stimulus on no-go trials. For example,
children may be instructed to respond as quickly as possible with a button press to white
shapes, but not pink shapes, on a computer screen. Children are told to respond as quickly as
possible, as this is a reaction time task. Responding on no-go trials is assumed to reflect a
failure to inhibit the go response. The dependent variable in Go/No-Go tasks is the
commission error rate: making a "go" response on "no-go" trials (e.g., incorrectly responding
with a button press to pink shapes when one should only respond with a button press to white
shapes). Thus, fewer commission errors signify better inhibitory control abilities. In recent
years, several types of training programs aimed at enhancing executive functions like
inhibitory control have been proposed. Imagine the following scenario: Researchers have just
developed a new training intervention program aimed at fostering inhibition skills through a
series of activities that require progressively higher level of inhibitory control. Eight child
participants completed a Go/No-Go task prior to participating in the training invention, and
then again after completing the training intervention. The number of commission errors made
during the Go/No-Go task were recorded and comprises the data. Given the exploratory
nature of this newly created intervention, the researchers want to know if the number of
commission errors changed following the new training invention.
Use the data file, InhibitionErrors.csv as needed to answer the following:
a. State the hypotheses for this statistical test using proper notation/symbols.
b. Do the data meet all the assumptions of the appropriate statistical test (i.e., assumption
checks)? Why or why not? (please include screenshots of the relevant part of the jamovi
output to support your answers)
c. Calculate the t-statistic by hand. Note, this involves a series of steps and calculations (e.g.,
one of those steps involves calculating sum of squares). Please show work and calculations
for each step. Refer to the InhibitionErrors.csvfile to retrieve the data for your calculations.
d. Conduct the appropriate t-test in jamovi and include a screenshot of the main analysis table
from jamovi as your answer to this question. Verify that the t-statistic you calculated by hand
in 2c) matches the value in the t-test table displayed in jamovi.
e. Make a decision about the null hypothesis using a = .05. Why did you make this decision?
f. Write up the results of this statistical test in APA format, relating your decision back to the
research question. Be sure to include all elements of the write up that are required.
Transcribed Image Text:Inhibitory control, a key component of executive functions, involves the ability to inhibit automatic but incorrect responses and is commonly assessed via the Go/No-Go task. Executive function abilities like inhibitory control develop rapidly in early childhood and have been shown to contribute to early school success. The Go/No-Go task is frequently used to assess inhibitory control in children. In this task, children are told to respond to one stimulus on go trials but make no response to another stimulus on no-go trials. For example, children may be instructed to respond as quickly as possible with a button press to white shapes, but not pink shapes, on a computer screen. Children are told to respond as quickly as possible, as this is a reaction time task. Responding on no-go trials is assumed to reflect a failure to inhibit the go response. The dependent variable in Go/No-Go tasks is the commission error rate: making a "go" response on "no-go" trials (e.g., incorrectly responding with a button press to pink shapes when one should only respond with a button press to white shapes). Thus, fewer commission errors signify better inhibitory control abilities. In recent years, several types of training programs aimed at enhancing executive functions like inhibitory control have been proposed. Imagine the following scenario: Researchers have just developed a new training intervention program aimed at fostering inhibition skills through a series of activities that require progressively higher level of inhibitory control. Eight child participants completed a Go/No-Go task prior to participating in the training invention, and then again after completing the training intervention. The number of commission errors made during the Go/No-Go task were recorded and comprises the data. Given the exploratory nature of this newly created intervention, the researchers want to know if the number of commission errors changed following the new training invention. Use the data file, InhibitionErrors.csv as needed to answer the following: a. State the hypotheses for this statistical test using proper notation/symbols. b. Do the data meet all the assumptions of the appropriate statistical test (i.e., assumption checks)? Why or why not? (please include screenshots of the relevant part of the jamovi output to support your answers) c. Calculate the t-statistic by hand. Note, this involves a series of steps and calculations (e.g., one of those steps involves calculating sum of squares). Please show work and calculations for each step. Refer to the InhibitionErrors.csvfile to retrieve the data for your calculations. d. Conduct the appropriate t-test in jamovi and include a screenshot of the main analysis table from jamovi as your answer to this question. Verify that the t-statistic you calculated by hand in 2c) matches the value in the t-test table displayed in jamovi. e. Make a decision about the null hypothesis using a = .05. Why did you make this decision? f. Write up the results of this statistical test in APA format, relating your decision back to the research question. Be sure to include all elements of the write up that are required.
Participant # Pre-Intervention Post-Intervention
1
2
3
4
сл
6
7
00
8
14
7
10
13
11
4
11
10
4
00
8
6
6
3
2
7
9
Transcribed Image Text:Participant # Pre-Intervention Post-Intervention 1 2 3 4 сл 6 7 00 8 14 7 10 13 11 4 11 10 4 00 8 6 6 3 2 7 9
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Pre-InterventionPost-InterventionDifferences(d's)14410-4 = 6787-8 = -110610-6 = 413613-6 = 711311-3 = 8424-2 = 211711-7 = 410910-9 = 1

 

why is the first difference 10-4 when it's supposed to be 14-4?

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