These are writing assignments for a graduate-level applied research methods statistics 1 class. Must be knowledgable in the system software stata. Please find attached.
Writing Assignment 2: Describing the Nonprofit Workforce
Due date: Thursday, September 10, 10:00 a.m.
Purpose: This assignment applies the material from modules 1 and 2 to imagine a semi-realistic situation in which one would run Stata to generate univariate statistics.
Knowledge: This exercise
Reinforces your understanding of percentages, means, medians, and modes
Teaches you a little about nonprofit sector employees
Skills: This exercise also
Applies your understanding of using Stata to read data and perform basic statistical analyses
Develops your ability to write about statistics
Task: It is your first day of your internship at the Community Foundation. Your supervisor asks you to describe the nonprofit workforce using the “Nonprofit Workforce” data set, which is a U.S. Census data set that includes all nonprofit employees in the 2016-18 American Community Survey. This is a random sample of the U.S. nonprofit workforce rather than including all nonprofit workers.
Write approximately one page (double-spaced, 12-point font, in Word) describing the nonprofit workforce.
Questions to consider: What are the characteristics of nonprofit workers (e.g., sex, race, citizenship, veteran status, age, educational attainment)? What are their occupations and work schedules (how many work part time? how work more than 40 hours per week)? Are they concentrated in a few states or are they spread out across the country? How much do they earn?
Include at least one percentage, one cumulative percentage, one mode, one median, one mean, and one bar chart or histogram in your write-up. Choose the best statistics to describe each variable. Avoid reporting absolute frequencies (except to state the overall sample size.)
Add an appendix with the Stata output (including the bar chart or histogram) that you discuss in your one-page write-up. It does not need to be pretty (we will work on this later), but I would like the bar chart or histogram to look pretty good. Do not include lots of output that you don’t use
Try to make this as easy and pleasant as possible for your supervisor to read. Use some logical order to present the variables. Use simple, active-voice language. Be grammatically correct.
Try to make clear what makes the numbers interesting rather than just reporting them. You might point out where the statistics differed from your expectations, for instance, or you might compare nonprofit workers to the federal workforce that you described last week: How are they similar? How do they differ?
To get the output you need, you will need to:
Download the “Nonprofit Employees” data set from iCollege
Open it in Stata
Create a do-file to store all your commands so that you can remember later what you did
Look at the Stata commands I ran to create the output for the previous writing assignment – all the commands are in bold-face in the output from the first assignment.
Use the commands from that assignment for guidance, but you do not need to run all of them. Choose:
the variables you want to highlight,
the statistics you want to use for each variable, and
the commands you will need (tabulate, summarize, and summarize …, detail) to generate those statistics
Look at the Lecture 2 do-file and the quiz you just did for guidance on how to run the bar chart or histogram
Consult with your classmates/study buddies when you run into difficulties with getting the output you need
Adding comments to your do-file will make it easier for you to remember what you did and why.
Criteria: This is a low-stakes exercise, worth approximately 1% of your final grade. Anyone who appropriately describes at least six variables and presents at least one example of each type of statistic requested receives full credit. I will also provide feedback on your writing.
The next page includes one of the best write-ups from last week to help you understand what I am looking for. Note that I would have preferred a lead sentence that highlighted the federal workforce rather than the data set.
This collection of data about federal employees showcases a variety of information. To begin with characteristics, 37% of the employees are women. In addition to gender, race is an important category to consider in America. Of the employees, 64% are Non-Hispanic White, 14% are Non-Hispanic Black, 11% are Latino, 6% are Asian, and 5% are of mixed race and/or other. The mode of citizenship is for a federal employee to be a native-born U.S. citizen, with 89% of federal employees falling into that category. 20% of federal employees are veterans. And the mean age of federal employees is 43 years old.
The median level of education is “Some College” for these federal employees. A cumulative 45% of federal employees have a bachelor’s degree or more. To provide another measure of central tendency for education level, the mean of years of education is 15, which translates to more than a high school diploma, but less than a bachelor’s degree.
On average, federal employees work 44 hours a week. Only about 1.8% of federal employees work 20 hours or less a week, and 94% of federal employees working 40 hours or more (up to 99 hours a week). In these hours, the most common (mode) position held by federal employees is “Administrative support,” with about 21% of employees holding this occupation title. The smallest number of federal employees have occupations dealing with “Farming, Forestry, and Fishing,” with only .52% of employees holding those positions. Of the federal employees, a cumulative 18% of them work in Washington, DC, Maryland, and Virginia. The largest number of federal employees (about 10%) work in California, followed closely by Texas, which is where about 7% of federal employees work. On average, the salary of a federal employee is $69,360.79.
