Techno Brief

Mid-Atlantic Regional Technology in Education Consortium  
1301 Cecil B. Moore Ave.
Ritter Annex 9th Floor
Temple University - CRHDE
Philadelphia, PA 19122

800-892-5550
215-204-5130 (fax)

General Inquires:
Laurence Peters
Johann Sarmiento
Judith Stull  
Technical Assistance:
Barry Mansfield  
Professional Development:
Joan Pasternak

Temple University Temple University Center for Research in Human Development and Education

Organization and Clarity of Questions. Good instruments use questions that are specific and understandable and omit the ambiguity of "double-barreled questions." An example of one such question is: "should teachers be required to supervise and verify students' acceptable use of the Internet?" An illustrative example is ACT Now! Teacher Survey (Johnston & Barker, 2002). (See "appendix 1" for survey). Terms are defined and items are clearly written for the target audience. For example, respondents are asked to rate the extent to which they agree or disagree with attitudinal items and report the frequency of specific classroom practices using technology.

Internal and External Validity. The term internal validity refers to a question's strength and appropriateness. Do questions measure what they intend to measure? External validity refers to whether results can be generalized to a larger population rather than only participants in the study. Validity is improved through pilot tests and revision. Typically, high quality instruments have been pilot-tested with an audience whose characteristics closely match the individuals completing the finalized assessment. For instance, if the survey is designed for inservice elementary teachers, it should be pilot tested with inservice elementary teachers. LoTi (Learning Quest, Inc., 2002) uses a 50-item questionnaire that was tested for reliability, internal consistency, and validity with several different samples, all of which provided confidence that the LoTi Technology Use Profile accurately measures the teachers' level of technology implementation in the classroom.

 

Timeframe for recall questions. Recall questions should reflect a relatively short window of time (e.g., last week or last month) to reduce "memory decay." Longer recall periods generate less reliable responses. The following question is an example of a poor question that puts too great a burden on respondents' memory: "From Fall 2001 to the present, how many hours per month did you use websites to obtain information about educational technology?" A better question would limit the recall period to one week or month. An illustrative example is Technology Proficiency for California Teachers-Technology Assessment Profile (2002). Select "guest login" and "My Technology Use Survey." This survey asks teachers to recall how often they use technology tools for classroom management. (Options included daily, 2-4 days/week, and between once a month and weekly.)

Multiple Contexts. Survey designers recognize that a survey is only one tool. For a more comprehensive snapshot, it is best to employ multiple data points. For instance, cross-referencing self-reported data with observed data such as a technology inventory provides a more complete picture. An illustrative example is the Maryland State Department of Education (2001) Technology Inventory Summary "Where Do We Stand in 2002 Digital Divide Results?" By cross-referencing the Technology Inventory results with data from the Free and Reduced Meal Program (FARMS), Maryland State Department of Education and the Maryland Business Roundtable have produced a dynamic report that details the pervasive effects of the digital divide in Maryland schools.

User Feedback. Online surveys provide the option of offering immediate feedback to participants. For instance, an online survey can quickly create a visual representation of the user's responses. An online survey can also enable users to compare responses with others in a specific group or community. Developers can give something back to participants by presenting an immediate visual depiction of their skill and proficiency. An example is Profiler (High Plains Regional Technology in Education Consortium, 2002). In the use of Profiler, a visual profile is created that links each user's strengths and needs with those in the community who have also participated. It allows each community member to track his or her progress over time, compare the profile to group results, find experts within the community, or view a tutorial for a specific skill. The user profile is available only to the members of the community who receive a login for that particular survey.

Educators are now faced with the challenge of making decisions based on data collected through assessment instruments. Surveys can provide useful and specific data. However, educators must consider the qualities of a good survey before selecting and implementing one themselves. Designing or selecting a survey takes time and skill, and educators seeking implementation should consult with experienced practitioners on critical issues such as sampling, coverage error, and nonresponse. For additional information on the fundamentals of a survey, see the "What is a Survey?" series published by the American Statistical Association (2002) and the US Department of Education's Planning and Evaluation Services "Frequently Asked Questions"(2000, October 16).

References
American Statistical Association. (2002). What is a survey? Retrieved January 2003, from http://www.amstat.org/sections/srms/brochures/survwhat.html
California Technology Assistance Project. (2002).Technology assessment profile. Retrieved January 2003, from http://ctap2.iassessment.org/
High Plains Regional Technology in Education Consortium. (2002). Profiler online collaboration tools. Retrieved January 2003, from http://profiler.hprtec.org/
Johnston, J., & Barker, T. (2002). Assessing the impact of teaching and learning: A sourcebook for evaluators. Ann Arbor, MI: University of Michigan. Institute for Social Research. Retrieved January 2003, from http://www.dlrn.org/star/TechSbk.pdf
Learning Quest, Inc. (2002). Welcome to LoTi. Retrieved January 2003, from http://www.learning-quest.com/LoTi/index.html
Maryland State Department of Education. (2001). Technology inventory summary. Retrieved January 2003, from http://msde.aws.com/digitaldivide.asp
North Central Regional Educational Laboratory. (2002). enGauge online assessment intro. Retrieved January 2003, from http://www.ncrel.org/engauge/assess/assess.htm
Pennsylvania Department of Education eTechPlanner. (2000). PDE inventory 2001-District survey questions. Retrieved January 2003, from http://www.etechplanner.org/inventory/01districtsurvey.pdf
Slowinski, J. (2000). School staff education technology needs assessment. Retrieved January 2003, from http://chadwick-k12.com/ssetna/
Sun-Associates Educational Technology Integration. (2002, August 14). Sample survey instrument. Retrieved January 2003, from http://www.sun-associates.com/eval/samples/samplesurv.html
U.S. Department of Education. Planning and Evaluation Service. (2000, October 16). Frequently asked questions. Retrieved January 2003, from
http://www.ed.gov/offices/OUS/PES/eval_faq.html#main_eval
Utah Technology Awareness Project. (2002). Rubrics. Retrieved January 2003, from http://www.uen.org/cgi-bin/websql/utahlink/UTAPdomains.hts

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