Outcome Measures for IECMHC

States, tribes, and communities are building the evidence that IECMHC works in early care and education. A common question is which tools to use to measure impact.

Use this Choose and Use tool to plan how you'll measure IECMHC outcomes. It summarizes 22 measures used in two or more IECMHC program evaluations, covering impact on children, teachers, teacher-child relationships, and classrooms or programs.

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Teacher · Measure

Teacher Opinion Survey-R (Gellar and Lynch 2000)

TeacherDetailsClose

Level: Teacher Characteristics
Type of Tool: Measure
Construct: Teacher attitudes towards job
Respondent: Teacher
Language(s): English
Length: 12 items
Description: Teacher's self-rated feelings of confidence and competence in managing challenging child behavior and making a positive difference in the lives of children. The two subscales are self-efficacy and hopelessness.
Subscales: Teacher self-efficacy and hopelessness
Published Psychometrics?: No Note that there is empirical rationale for retrospective reporting on this measure because baseline ratings may be artifically inflated and interfere with ability to track progress. As described in Heller et al. (2011), it may be more valid to have teachers complete "now/then" versions of this measure after engaging in IECMHC for a period of time, reporting on themselves now and as they were right before consultation began.
Citation for Tool: Geller, S., & Lynch, K. (1999). Teacher opinion survey. Richmond: Virginia Commonwealth University Intellectual Property Foundation and Wingspan, LLC.
In the Public Domain?: No - Not in public domain

Disclaimers

Don't limit your data collection to these measures. They are outcome measures: they show how IECMHC affects children, classrooms, and programs. Also collect implementation data (how IECMHC is delivered) and process data (the near-term changes that lead to those outcomes).

Many families who use IECMHC face wide racial and ethnic disparities in access to opportunity. Programs and systems leaders should always collect demographic data, and always break down outcome, process, and implementation data by race/ethnicity, income, language, and disability status.

Make evaluation decisions in light of your program's theory of change, setting, and the people you serve. Where you can, choose measures normed on the populations you serve and available in a language families understand.

In addition to using the Choose and Use Guide, we recommend you also contact the CoE to request technical assistance to refine your decisions about which tools to select.

Need help choosing?

Request technical assistance from the Center of Excellence to help you decide which tools to use.

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