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    An IDC Resource

    Format: Presentations

    The Interplay of Qualitative and Quantitative Data

    This session provided a brief overview of various types of qualitative data collection methods. Presenters provided examples of different ways states can present qualitative data. They also discussed basic strategies for using qualitative and quantitative data together to support continuous improvement and evaluation efforts in states.

    An IDC Resource

    Format: Presentations

    Integrating Qualitative Data Analysis Into Your Continuous Improvement Efforts

    When used together, qualitative and quantitative data provide strong evidence for change and can better inform continuous improvement efforts. This workshop focused on ways to conduct meaningful qualitative analysis and use it effectively with quantitative analysis. Participants had the opportunity to learn more about specific approaches to qualitative analysis and how to apply those approaches to an example dataset. Presenters then asked participants to think critically about how to use both qualitative and quantitative analysis to interpret and effectively present data.

    Format: Presentations

    Expanding Data Analysis Through Data Integration

    Education data tell the stories of students through their school experience and beyond. Integrating IDEA data into a State Longitudinal Data System provides the ability to tell a seamless story of a student with disabilities. For an SEA, data integration breaks down data and agency silos, and data analysis across the K-12 spectrum becomes the norm. In this session, participants learned from TA providers about the richness of the data analysis possible and how using integrated data can offer a more accurate and compelling story of how students, teachers, and districts are achieving education goals.

    Format: Presentations

    Impacting Data Quality: What’s the Use of Using a Data Integration Use Case?

    Better data quality means better allocation of resources for students with disabilities. Participants learned firsthand how SEAs are using innovative tools and practices to improve data quality practices and procedures and how states can get involved in this meaningful work. Participants actively engaged in documenting the current state of their SEA’s data management practices and built a use case for IDEA data integration. They were able to see how CIID’s Generate tool is preparing 10 states for better data quality, more efficient reporting, and more effective data use through an integrated data system.

    An IDC Resource

    Format: Presentations

    Developing Data Literacy

    Data literacy is a critical component of achieving and maintaining a culture of high-quality data and use. Working toward a high level of data literacy within an agency is an ongoing process that involves many steps and players. This session presented key considerations for improving data literacy, including how to develop and apply data to inform policy and practice and ensure that an agencies shares a meaningful story of the data with stakeholders that all can understand and use.

    An IDC Resource

    Format: Presentations

    Top 10 Reasons to Document Your IDEA Data Processes

    This session highlighted several benefits of documenting your state’s IDEA data processes. Developing a “playbook” (that describes the who, what, when, where, and how of your state’s process for collecting, validating, submitting, and reporting 616 and 618 data collections) memorializes those processes for your state and therefore helps build resiliency in your agency.

    An IDC Resource

    Format: Presentations

    Introduction to the New and Improved IDC Part B IDEA Data Processes Toolkit

    This workshop provided a brief overview of the new IDC IDEA Part B 616 Data Processes Toolkit. Several states that have piloted the toolkit shared their experiences with creating data processes for the SPP/APR indicators, building capacity of data stewards, and instilling a culture of high-quality data. Presenters facilitated discussion that helped participants understand the value of data processes documentation and afforded them an opportunity to experience preparing for and beginning this work.