Please click each topic to learn more.

• MeasureResults^®

  Schools face ever increasing demands to validate the program and spending decisions they make, based on the analysis of solid data. Most districts do not have the staff and facilities to run complex statistical analyses. While districts are currently developing sophisticated data warehousing capabilities, actually setting up experiments involves technical and logistical steps that may be considered too expensive or difficult in practice.

  MeasureResults is a suite of services and tools designed to simplify these tasks by building powerful and verified analytical techniques into an uncomplicated framework that includes consultative services on research design and web-based interfaces to gather data, automate analysis, and generate reports. MeasureResults is bundled with technical support that includes review of all analyses and reports by an expert statistician. Click here to learn more.

• Empirical SecureServer^®

  Data transfers with customers are fully secure. Customers can upload data such as student demographics and test results via the Internet with our Empirical SecureServer^® website, which is protected using our SonicWall^® firewall and encrypted using VeriSign^® Security on our dedicated server. Our automatic data verification process makes it easy to check data for accuracy and completeness. All data are stored through secure and protected processes and easily imported for analysis through our company’s SAS statistical system, the industry standard.

• SurveyCenter^®

  In addition to analysis of student achievement data, examining implementation information can also be useful to determine the effectiveness of a program. Empirical Education’s SurveyCenter is a simple-to-use web-based interface that enables teachers to answer questions related to program use or product satisfaction. Custom questions can be prepared. Results are tied into the student data analysis, enabling a more fluid interpretation of results and program evaluation.

• Analytical Tools

  Empirical Education uses the industry-leading statistics engine SAS for most of our analyses. We have enhanced the capabilities of SAS with several standardizing tools and procedures. Specifically, we have developed workflow tools that provide for an efficient analytical operation. These include early identification of data requirements, transmission of data sets from data warehousing, and automated listing of tasks and responsibilities. We have developed SAS macro sets to combine commonly used analyses, such as moderator analyses using demographic variables that can be carried out quickly and efficiently. SAS output is processed by MS Word and Excel macros that accurately generate complex tables and figures in standard, easy-to-use formats.

• Reporting Tools

  Each of our reports is customized to the individual needs of our client. When appropriate, we utilize template guides to ease and streamline uniform reporting practices. For this, we have developed a number of tools that support the efficient reuse of templatized text, table, and graph-building macros used to create the final presentations of data.

• Data Warehousing

  Our data warehousing techniques and software are optimized for school data and can easily handle large and complex datasets. Our procedures are designed to address the many cases in which data provided by districts have not been fully verified or standardized. In addition to being able to interface with our SAS analytical engine and established analytical tools and with our survey generation tools, including our Survey Mirror tool, our database schemas and structures can support a wide range of scenarios. These include multi-level structure for districts/schools/students that allows flexible hierarchies, default structures for handling standard demographics while allowing extensions (extended ethnicity, for example), ability to track changes such as attrition and its causes, and multi-year support for projects spanning several years, including tracking changes in teachers, students, and rosters. Our data tools also include the proprietary FastMatch program, a simple adaptation of artificial intelligence techniques, that matches student names in cases where established IDs are not available. In addition we have developed programs that process Scantron and similar input and provide data in the format useful in our databases.