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EDUCATION CONSULTANT

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Exam Introduction

Thank you for expressing interest in the Department of Public Instruction. In order to be considered for this position, you must complete the following questions. Your responses to these three (3) questions are considered a civil service examination and will be used, along with your resume, to determine your eligibility for this vacancy.

 

You must provide detailed responses to all questions in order to be considered for this position. Respond to each question independently without reference to information provided in previous responses. Please do not refer to your resume as a response – "see resume" is not an acceptable answer.  Your responses to all three questions should be limited to a total of six (6) pages.

 

When you are finished with each question, click the "Save and Continue" button. When you are finished with the exam, click the "Save and Finalize" button. At the next window, click the "Finalize" button. If you do not click “Save and Continue” or “Save and Finalize” within 20 minutes, Wisc.Jobs will time out and your answers will be lost. To prevent this and to make sure that you do not exceed the page limit, create your answers in a word processing program and then paste them into Wisc.Jobs. It is recommended that you use Ctrl-V to paste your answers. A mouse paste may not work. You can update your exam responses until the deadline date. Note: anytime you enter the exam, you MUST click “Finalize” regardless of whether or not you changed your responses.

 

After you have successfully completed and finalized your exam, you will receive an email confirmation (if you provided an email address on your personal information page). If you do not receive an email, you may not have finished all of the steps correctly. Incomplete application materials will not be considered.

 

If you encounter problems in this process, email lynn.kirsch@dpi.wi.gov or call (608) 267-9200.


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1. Data Manipulation and Analysis

QUESTION ONE: Describe your training and experience performing any of the following tasks related to working with a data set, particularly a large data set (approximately more than 5,000 records):

·       Manipulating data to check and clean it and/or to recode variables

·       Aggregating data

·       Summarizing aggregated data

·       Developing and/or maintaining statistical code

 

Include the size of the data set (i.e., approximate number of records), the complexity of the data set (e.g., longitudinal multivariate, etc.), the type of data (e.g., education, economics, public policy, social science, etc.), and the statistical software (e.g., R, STATA, Excel, Access, etc.) you used to implement any part of your analysis.

 

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2. Communicating Complex Information

QUESTION TWO: Describe your training and experience communicating complex information (e.g., data analysis, assessment design, state or federal policy, etc.) to targeted audiences.

 

Include the type of complex information (e.g. data analysis, assessment design, state/federal policy, etc.), the variety of audiences (e.g. special interest groups, parents, education agencies, etc.), and the variety of communication methods (presentations/workshops, written policies/guidance, videos, handouts, responding to questions or providing technical assistance via email or by phone, etc.) that you have used. Also include examples of how you adapted materials for different audiences. While not required, be sure to specify any examples of experience communicating complex information related to education, particularly education data, assessment, or accountability policies.

 

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3. Policy Recommendation/Development

QUESTION THREE: Describe your training and experience developing or informing policy proposals or recommendations. Include the type of policy (e.g., education, health, etc.), your role(s) in informing and/or developing the policy recommendation (e.g., lead the project, analyze data, prepare a white paper, draft the policy, or present the recommendation, etc.), and the information used to inform the proposal (e.g., the topic history, quantitative and/or qualitative data.).