Analyzing various forms of data can assist CCoT teams in knowing if the decisions and actions they are making are leading to positive outcomes for youth and their families. This section of the toolkit will shed some light on various types of data that a CCoT team can look at to further analyze decision making and goal setting for current and future meetings. There are many types of county and statewide data the CCoT team will want to review. The CCoT team should plan to review this data on a yearly basis and use it to guide their goals and activities for the upcoming year.
A review and analysis of your data can help provide insight into areas of strength and need within your county. It can also help the team identify gaps between cultural/ethnic groups, genders, or disabilities. In addition, the data can provide specific information on the success of activities and goal achievement for your CCoT.
Indicator 14 is a national indicator that reflects the post school outcomes of students with disabilities one year after they have graduated. The State of Wisconsin conducts telephone surveys with these students to determine the percentage of students who are actively engaged in higher education or training or competitive employment. Every district is required to participate in this survey once every five years, however many districts volunteer to participate every year. The team can review their entire county Indicator 14 report. CCoTs can request countywide Indicator 14 data for their county for one, two, or three survey years. The data includes any districts assigned to that county that participated in the survey in the selected year. Analyzing county data allows for the participants to determine if the county is comparable to the state in terms of exiters participating in higher education or being competitively employed. In reviewing the data, patterns or trends may be identified.
To access the team’s county report, they can reach out to their local Transition Improvement Grant regional coordinator.
Here is a sample county report to view for more details: Sample County Indicator 14 Report
Here is a template of a presentation that can be customized and reviewed with your CCoT to help understand Indicator 14 data: https://docs.google.com/presentation/d/15wRD4mgsNeF2JY3qotqFhu3aSwQnldPnxhRgR5rSrO8/copy?usp=sharing
The DPI is excited to announce the completion of a new interactive map visualizing the post school outcomes for students with IEPs. The maps summarize the results of the 2020 Indicator 14 Post School Outcome Survey of 2018-2019 exiters by LEA, CESA and county. Users can also compare results to the location of public and private universities across Wisconsin as well the Local Workforce Development Areas (WDAs). The map will be updated annually as new survey results are available. The DPI and our partners at the Transition Improvement Grant (TIG) see this as a powerful analysis tool to improve the post school outcomes for students with IEPs. An LEA with questions on the map or the survey results, can contact their local TIG coordinator.
To view the 2021 Indicator 14 Post School Outcome map by LEA or county, click here.
To view the 2020 Indicator 14 Post School Outcome map by CESA, click here.
This public site from the Department of Public Instruction allows the CCoT to compare and explore statistics about Wisconsin public schools. Teams can look closely at the following data points: student enrollment, attendance, assessment data, discipline and graduation rates and drop out data. Teams can desegregate the data by sex, race, socioeconomic status, and disability status. By viewing this information, teams can determine where their districts may have gaps between the achievement of demographic groups. This can help the team focus additional resources and activities to help districts within the county narrow those gaps. To access this dashboard, please visit the link below.
WisConomy is a State of Wisconsin webpage to look closely at economic and labor market data. By clicking on data tools, the CCoT team can view reports for their county that include information such as employment and unemployment rates. Further filters can be applied to view what areas represent the most common fields of employment within the county (agriculture, industrial, etc.) and average weekly wages. This can help CCoT teams determine the culture of the workforce within their county and focus activities to connect students with employers.
Wisconsin’s Youth Apprenticeship program combines academic coursework with on the job experience, and allows students to earn postsecondary credits for college or technical schools, while they are still in high school. This dashboard viewer option will allow the team to view Wisconsin’s Youth Apprenticeship participation from many different perspectives, including the number of youth involved in the program and the number of employers involved. It also allows the team to view the data in categories of training, such as architecture, information technology, and manufacturing. The data can be viewed over multiple years to assess patterns and trends. The team can select one district or all of the districts with the county. By clicking on the program area or the year, the team can choose to view multiple areas/years, or just one. It is recommended a YA regional coordinator be part of this conversation to assist in gathering more in-depth data at the statewide level. The regional coordinators have access to run additional reports that include employers, number of students in each industry area, and demographics. In addition, they will be able to provide information on the number of students with IEPs and students considered at risk.
In addition to statewide and county data, the CCoT team will want to review data gathered from their own various activities. Accurate data reporting measures should be taken during each activity. These could include harvest notes, attendance, feedback or evaluation forms, and outcomes. Outcomes could include the number of students successfully gaining employment, going on job shadows, leading their IEP meeting, applying for acceptance at a higher education institution, etc. By reviewing this data, the team can assess whether an activity was successful, whether it should be repeated, or what changes should be made. It can also help the team view the means by which the activity was publicized and made available to students and families.