Are there any advantages of having an emotional involvement in the work place?
Are there any advantages of having an emotional involvement in the work place?
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Name_____________________Date______________________ Activity Handout 2.1NeurotransmittersFind the pu
Name_____________________Date______________________ Activity Handout 2.1NeurotransmittersFind the purpose of each of the neurotransmitters listed below. Also, describe what might happen to aperson if they had an excess amount or a lesser amount of each of these neurotransmitters. Acetylcholine GABA Norepinephrine Dopamine SerotoninEndorphin Oxytocin
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Question 4.4: Chemicals and other hazardous substances have been used for a variety of reasons for a
Question 4.4: Chemicals and other hazardous substances have been used for a variety of reasons for about the last 500 years. (Points: 1)
True
False
Question 5.5: The systematic process of removing hazardous materials from personnel and their equipment is known as ____. (Points: 1)
Emergency response
Materials management
Hazmat removal
Decontamination
Question 6.6: Hazardous materials can be released intentionally in criminal acts or acts of terrorism. (Points: 1)
True
False
Question 7.7: A plan that is developed in advance of an emergency situation that identifies the actions to be taken by all employees at the site in the event of an emergency is known as the ____ Plan. (Points: 1)
Emergency Control
Emergency Response
Emergency Management
OSHA
Question 8.8: The ____ level of training is designed for those workers who respond to an incident and remain outside of the spill area. (Points: 1)
Hazardous Materials Specialist
Hazardous Materials Technician
On-scene Incident Commander
First Responder Operations Level
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How does Loyal Soldier Compensation (related to compensation systems, productivity improvement progr
How does Loyal Soldier Compensation (related to compensation systems, productivity improvement programs, and benefits plans) impact organizational strategy?
What are the strengths and weaknesses of HR approaches related to compensation systems, productivity improvement programs, and benefits plans?
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to find a predictor of interest, to demonstrate that it is associated with your outcome of choice…
Overview
For this homework, you must use multiple regression to determine what influences an outcome of your choice. Your overarching goals are:
1) to find a predictor of interest, to demonstrate that it is associated with your outcome of choice, and to describe that association.
2) to propose two potential explanations for the association and to generate evidence that will help you determine whether the potential explanations are supported by the data.
Data
For this homework, you can use either the 2016 General Social Survey or a dataset of your choice.
• If you chose to work with the GSS, be aware that some of the narrower survey items are not asked of all respondents. As a result, there will be a large number of missing observations for the variables. To complete this homework, a sufficient number of respondents (more than about 100 at minimum) must have valid non-missing data for all the variables you plan to use. When conducting regression analysis, you must estimate your regressions on the same sample. This means that you will need to exclude from all regression models those respondents who have missing values on any of the variables included in your four nested models.
Association between two variables
You must identify two variables (one outcome, one predictor) and estimate their association using regression analysis. Please choose something different from your last assignment, but the idea here is the same. For example, if you are interested in gender inequality in labor markets, you could look at the association between gender (predictor) and income (outcome). If you are interested in what explains individual prejudice, you could examine how scores on one of the GSS measure of racial attitude (outcome) varies by educational attainment (predictor).
Potential explanations
You must propose TWO potential explanation for the association you observed in the previous step. For example, say you are interested in gender inequality in the labor market, and you observe that women report a (statistically significant) lower income than men in your data. Here are two potential explanations for women having lower incomes on average than men.
1) women are less competent than men and income levels reflect competence
2) women are the primary care giver for young children and as a result miss work more often than men; missing work leads to lower income
The GSS has some measures of cognitive ability. You could potentially test the first explanation by controlling for these variables in your model and determining whether doing so explains the original relationship between gender and income. You could test the second explanation in a variety of ways, including (for example) an interaction term examining whether the effect of having children on income differs across gender. Again, remember that the point here is not to propose the one correct explanation, but to generate hypotheses that can be tested using regression analysis.
Analysis requirements
Overall, you will be estimating at least four regression models: a bivariate model, a model that adds control variables, a model that adds measures of your first explanation, and a model that adds measures of your second explanation. In an appendix, you must also provide additional information on model specification and assumptions. More detailed requirements are provided below.
Attachments:
second-report….docx"Looking for a Similar Assignment? Get Expert Help at an Amazing Discount!"
The objective of this protocol is to provide testing evidence that will prove that the…
The objective of this protocol is to provide testing evidence that will prove that the ‘Hot Detergent and Hot PUW Generation and Distribution’ system is fit for its intended use. Testing will incorporate both installation verification and functional verification test. 6 System Description Prepare a summary ‘System Description’. Suggestions include drawing a process flow / block diagram; listing critical operational features; and, describing the major equipment components in the context of their installation and functional features.
1-8-Inline-Co….pdf"Looking for a Similar Assignment? Get Expert Help at an Amazing Discount!"
Your company has developed a new product that has universal appeal across countries and cultures….
Your company has developed a new product that has universal appeal across countries and cultures. In fact, it is expected to achieve high penetration rates in all the countries where it’s introduced regardless of the average income of the local populace. Considering the costs of product launch, the management team has decided to initially introduce the product only in countries that have a sizeable population base and reasonable growth rate. You are required to prepare the preliminary report with the top 10 countries in terms of population and growth rate in Africa and Asia.
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Coefficient of variance
MODULE 3 WORKSHEETRelationships between Variables
Purpose: You will be able to demonstrate a general understanding of interpreting statistical output to examine relationships between variables.Instructions: Answer each item on this worksheet below and then upload this worksheet under the ASSIGNMENTS section in blackboard.
For Questions 1-7: A nurse on a busy pediatric unit noticed that her patients’ heart rates seem to be lower in the past few months since her unit hired a new music therapist. The previous music therapist would bring her amp with her into patients’ rooms and play her electric guitar LOUD. The previous music therapist left after many family complaints were filed against her. The new music therapist plays her acoustic guitar quietly in patients’ rooms and the patients seem much calmer and the nurse started to notice that the patients seem to have lower heart rates. The nurse was talking with her unit manager about this anecdotal observation and her manager encouraged her to search the literature to see if there is evidence supporting her hypothesis that the volume of music played in a patient’s room correlates to the patient’s heart rate. The nurse searched the literature with the help of the hospital librarians and found no evidence about this relationship. The unit manager thought the nurse was on to something and encouraged her to pursue this question through a unit-based research study. The nurse collaborated with a music therapist and a research mentor in the hospital, wrote a protocol, received IRB approval to conduct the study, and consented and enrolled 100 patients/families on her unit. For this study, she played music in each patient’s room and measured the volume of the music. The volume measurements ranged from 60 (soft music) to 95 (loud music). She recorded the volume of the music in the room and the infant’s heart rate at the end of 20 minutes of listening to data. Here is the SPSS output from his study:
What was the mean volume of music played in the patients’ rooms? (2 points)
What was the mean heart rate of the patients? (2 points)
What is the null hypothesis being tested? (2 points)
What is the correlation coefficient (r) from this analysis? (5 points)
What is the p value from this analysis? (5 points)
Would you reject or fail to reject the null hypothesis? (5 points)
What conclusion would you make? (5 points)
For Questions 8-12: The nurse was frustrated with her results from the previous study (and she’d caught the research bug) so she met with the study team about replicating the study but this time measuring patient/family satisfaction instead of heart rate. She thought maybe the volume of music would relate to patient/family satisfaction. She received IRB approval for this new study, consented and enrolled another 100 patients, and used the same protocol of measuring music volume and then she added a satisfaction survey that patients/families completed at the end of their admission. The satisfaction survey was scored and satisfaction scores ranged from 0-100 and included any numbers in between (including fractions and decimal points). Here is the SPSS output from his study:
What was the mean satisfaction score? (2 points)
What is the correlation coefficient (r) from this analysis? (5 points)
What is the p value from this analysis? (5 points)
Would you reject or fail to reject the null hypothesis? (5 points)
What conclusion would you make? (5 points)
For Questions 13-16: The nurse was excited about these results and wanted to take her analysis a step further. She submitted an amendment to the IRB to allow for a new statistical analysis plan. Her statistician ran a linear regression. Here is the SPSS output:
For Questions 17-18: The nurse presented her findings at a national conference and then published her results in a peer-reviewed academic nursing journal. A nurse at the adult hospital in town wondered if these findings could be translated to adult patients. Inspired by this other nurse, she decided to do a small scale study at her hospital. She partnered with others at her hospital, wrote a protocol, received IRB approval, and consented and enrolled 25 patients. She followed the same protocol and measured music volume, but she decided to create her own satisfaction survey that was less time consuming. She simply gave her patients a paper to fill out at discharge that asked one question:
How satisfied were you with your hospital stay?Very satisfiedSomewhat satisfiedNeutralSomewhat dissatisfiedVery dissatisfied
She sent her data off to her statistician and here is the SPSS output she got back:
She immediately sent an email back to the statistician and said there must be something wrong. She said that she replicated a published study and in that study, the results were reported as a Pearson Correlation. She asked that the statistician re-analyze the data using a Pearson correlation. Provide a response that the statistician may have provided that would explain her choice in statistical tests. (5 points)
The nurse understood this explanation and realized the output above was the correct test. What conclusion did she make from this output? Did her study find similar results to the study she was replicating? (5 points)
Total = 75 points
Attachments:
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The extent to whcih an evaluation technique measures what it isintended to measure A. Reliability B.
The extent to whcih an evaluation technique measures what it isintended to measure A. Reliability B. Ecological C. Scope D. Bias E. Validity . . .
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