An industrial/organizational psychologist has been consulting with a company that runs weekend job-seeking workshops for the unemployed. She collected data on several issues related to these workshops and, after conducting statistical tests, ottained statistically significant findings. She needs to find a way to evaluate effect size so that she can make recommendations to the company. One of the psychologist's findings is that one year after the workshop, a sample of 81 job seekers who received training on resume writing worked more than 30 hours per week an average of 8.7 months in the last year, with a standard deviation of 4.1. The typical job seeker works 7.4 months. The paychologist firds that the estimated Cohen's d is_ , the t statistic is 2.83, and ra Using Cohen's d and Cohen's guidelines for interpreting the effect size with the estimated Cohen's d, there is a effect. Using ra and the extension of Cohen's guidelines for interpreting the effect size using ra, there is a treatment treatment effect. (Hint: When using Cohen's guidelines for interpreting the effect size, the value lies between two categories, then specity the range covered by both categories, for example, medium to large.) Another one of the psychologists findings is that a sample of 81 job seekers who recelved training on dressing for interviews scored an average of 8.1 as measured on a 9-point job search motivation scale, with a standard deviation of 0.8. The typical job secker scores 7.4 points. the t statistic is 7.78, and ra is v. Using Cohen's d and Cohen's guidelines for She finds that the estimated Cohen's dis interpreting the effect size with the estimated Cohen's d, there is a ▼ treatment effect. Using ra and the extension of Cohen's guidelines for interpreting the effect size with ra, there is a treatment effect.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 27PFA
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PICK 1 in each blank

 

1st blank: 2.853, 0.812, 0.317, 0.0162

2nd blank: 0.500, 0.021, 0.091, 0.112

3rd blank: large, very small, small to medium]

4th blanK: medium, small, very large

5th blank: 1.083, 0.875, 2.853, 0.009

6th blank: 0.500, 0.431, 0.233, 0.035

7th blank: small, medium, large

8th blank: small, medium, large

An industrial/organizational psychologist has been consulting with a company that runs weekend job-seeking workshops for the unemployed. She
collected data on several issues related to these workshops and, after conducting statistical tests, obtained statistically significant findings. She needs
to find a way to evaluate effect size so that she can make recommendations to the company.
One of the psychologist's findings is that one year after the workshop, a sample of 81 job seekers who received training on resume writing worked
more than 30 hours per week an average of 8.7 months in the last year, with a standard deviation of 4.1. The typical job seeker works 7.4 months.
The psychologist finds that the estimated Cohen's d is
the t statistic is 2.83, and ra is
Using Cohen's d and Cohen's guidelines for interpreting the effect size with the estimated Cohen's d, there is a
v treatment
effect. Using r2 and the extension of Cohen's guidelines for interpreting the effect size using r2, there is a
v treatment effect. (Hint:
When using Cohen's guidelines for interpreting the effect size, if the value lies between two categories, then specify the range covered by both
categories, for example, medium to large.)
Another one of the psychologist's findings is that a sample of 81 job seekers who received training on dressing for interviews scored an average of 8.1
as measured on a 9-point job search motivation scale, with a standard deviation of O.8. The typical job seeker scores 7.4 points.
She finds that the estimated Cohen's d is
v, the t statistic is 7.78, and ra is
v. Using Cohen's d and Cohen's guidelines for
interpreting the effect size with the estimated Cohen's d, there is a
▼ treatment effect. Using r2 and the extension of Cohen's guidelines
for interpreting the effect size with ra, there is a
v treatment effect
Transcribed Image Text:An industrial/organizational psychologist has been consulting with a company that runs weekend job-seeking workshops for the unemployed. She collected data on several issues related to these workshops and, after conducting statistical tests, obtained statistically significant findings. She needs to find a way to evaluate effect size so that she can make recommendations to the company. One of the psychologist's findings is that one year after the workshop, a sample of 81 job seekers who received training on resume writing worked more than 30 hours per week an average of 8.7 months in the last year, with a standard deviation of 4.1. The typical job seeker works 7.4 months. The psychologist finds that the estimated Cohen's d is the t statistic is 2.83, and ra is Using Cohen's d and Cohen's guidelines for interpreting the effect size with the estimated Cohen's d, there is a v treatment effect. Using r2 and the extension of Cohen's guidelines for interpreting the effect size using r2, there is a v treatment effect. (Hint: When using Cohen's guidelines for interpreting the effect size, if the value lies between two categories, then specify the range covered by both categories, for example, medium to large.) Another one of the psychologist's findings is that a sample of 81 job seekers who received training on dressing for interviews scored an average of 8.1 as measured on a 9-point job search motivation scale, with a standard deviation of O.8. The typical job seeker scores 7.4 points. She finds that the estimated Cohen's d is v, the t statistic is 7.78, and ra is v. Using Cohen's d and Cohen's guidelines for interpreting the effect size with the estimated Cohen's d, there is a ▼ treatment effect. Using r2 and the extension of Cohen's guidelines for interpreting the effect size with ra, there is a v treatment effect
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