Human Capital Toolkit and Resources
Access the human capital components of the Toolkit for Effective Data Use and SDP's Strategic Performance Indicators for Human Capital.
Getting Started
Identify essential data elements for analyzing student achievement.
SDP Data Specification Guide: Successful data analysis begins with proper identification of data elements necessary to answer key questions of interest.
Clean, check, and build variables for your data set.
Human Capital Data Cleaning Tasks: Upon collecting essential data elements you must ensure that the data can be reliably used in future analyses.
Connect relevant data sets from different sources.
Human Capital Linking Guide: Now that you've collected data and cleaned your data, you must merge the files together to create an analysis file.
Analyze your data sets.
SDP Code for Analysis: The final step in the SDP Toolkit for Effective Data Use is to analyze the data you've identified, cleaned, and connected.
Adopt best practices to facilitate shared and replicable data analysis.
SDP Coding Style Guide: To ensure that statistical code is easily shared across a team and is replicable by future users, SDP and CEPR recommend that you follow best coding, programming, and data management practices.