Question

A researcher is interested in the relationship between one’s satisfaction with pay (X) and one’s commitment...

A researcher is interested in the relationship between one’s satisfaction with pay (X) and one’s commitment to the organization (Y). The researcher collects data from 24 employees and finds that the correlation between the two variables is r = 0.22.

e. Compute an effect size.

Homework Answers

Answer #1

Answer---->>

Here given that the A researcher interested in the relationship between one's satisfaction with pay (X)

And one's commitment to the organisation (Y)

The reasercher collect the data from 24 employees

And find that the correlation coefficient between the two variable r = 0.22

i.e. positive correlation between the one's satisfaction pay (X) and one's commitment to the organisation (Y).

Therefore by using Cohen's rule of thumb for effect size ,

Effect size is small in this case ( from correlation coefficient r )

Effect size = r​​​​​​2

= (0.22)2

Effect size = 0.0484

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A researcher is interested in the relationship between one’s satisfaction with pay (X) and one’s commitment...
A researcher is interested in the relationship between one’s satisfaction with pay (X) and one’s commitment to the organization (Y). The researcher collects data from 24 employees and finds that the correlation between the two variables is r = 0.22. a. State the null hypothesis. b. Identify the appropriate statistical test c. Calculate the appropriate test statistic. Make sure to report the degrees of freedom for the statistical test (if appropriate). You must show your work to receive full credit....
Annabelle is a student at U of A. She is interested in the relationship between agreeableness...
Annabelle is a student at U of A. She is interested in the relationship between agreeableness and job performance for salespeople. She collects data and finds a statistically significant correlation between the two variables, r = -0.36, r2 = 0.13. Please explain her findings. Can you make a conclusion about the causal relationship between the two variables?
A researcher is interested in the relationship between concussions and short-term memory loss. To explore this...
A researcher is interested in the relationship between concussions and short-term memory loss. To explore this relationship, the researcher collects data on the number of concussions and number of words recalled on a memory test. Assume SP = -34       SSconcussions =    58        SSnumber of words recalled = 27 Interpret the Pearson correlation coefficient between concussions and number of words recalled in terms of the strength and direction of the relationship:
A researcher was interested in the relationship between the reported stress level (variable X) and performance...
A researcher was interested in the relationship between the reported stress level (variable X) and performance on memory test (variable Y). The data collected on a sample of n = 62  undergraduate students produced the following results: MX = 4, SSx = 30, MY = 6, SSY= 90, and SP = - 15 A. Is there a significant correlation between stress level and memory performance? Assume 2-tailed test, p < .05. For full credit your answer should include: Null and alternative...
A researcher was interested in the relationship between an average daily time spent on social media...
A researcher was interested in the relationship between an average daily time spent on social media (i.e., X variable) and social anxiety (i.e., Y variable). The data collected on a sample of n = 82  undergraduate students produced the following results:        SSx= 49, SSY= 36, SP = 11, MX = 8, MY = 15. A. Is there a significant correlation between an average daily time spent on social media and social anxiety? Use 2-tailed test, p < .05 to answer this research...
A researcher is interested to learn if there is a linear relationship between the hours in...
A researcher is interested to learn if there is a linear relationship between the hours in a week spent exercising and a person’s life satisfaction. The researchers collected the following data from a random sample, which included the number of hours spent exercising in a week and a ranking of life satisfaction from 1 to 10 ( 1 being the lowest and 10 the highest). Participant Hours of Exercise Life Satisfaction 1 3 1 2 14 2 3 14 4...
A negative correlation between variables X and Y means that ____. A. the correlation between variables...
A negative correlation between variables X and Y means that ____. A. the correlation between variables X and Y is very weak B. scores on variable X has little predicting power on the corresponding scores on variable Y C. higher scores on variable X correspond to lower scores on variable Y and vice versa D. Higher scores on variable X correspond to higher scores on variable Y while lower scores on variable X correspond to lower scores on variable Y...
For a sample of 10 individuals, a researcher calculates residuals for the relationship between “number of...
For a sample of 10 individuals, a researcher calculates residuals for the relationship between “number of delinquent friends” and “number of prior arrests” and finds that the positive residuals = 125. The researcher then collects a second sample of 10 individuals and calculates the residuals on the same two variables and discovers the sum of the positive residuals = 75. What can you conclude about the strength of the relationship between “number of delinquent peers” and “number of prior arrests”...
For a sample of 10 individuals, a researcher calculates residuals for the relationship between “number of...
For a sample of 10 individuals, a researcher calculates residuals for the relationship between “number of delinquent friends” and “number of prior arrests” and finds that the positive residuals = 125. The researcher then collects a second sample of 10 individuals and calculates the residuals on the same two variables and discovers the sum of the positive residuals = 75. What can you conclude about the strength of the relationship between “number of delinquent peers” and “number of prior arrests”...
Please show all work A researcher was interested in examining a relationship between hours of exercise...
Please show all work A researcher was interested in examining a relationship between hours of exercise and concentration level among BYC students. Also, he was interested in examining whether hours of exercise would predict the concentration level. Answer following questions based on the given data. Exercise (X)                     Concentration level (Y) 0                                                      4 2                                                      1 8                                                      10 6                                                       9 4                                                       6 x̅=4                                               Y=6 SSx = 40                                        SSy=54 Q1: What is the regression line? Y hat = __________ Q2: Compute SS residual....
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT