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Validation & Norming

Item Development
Tasks delivered by the PhonePassTM testing system are designed to be simple and intuitive both for native speakers and for proficient non-native speakers of English. Items are designed to cover a broad range of skill levels and skill profiles, and to elicit responses that can be analyzed automatically to produce measures of fluency, listening, vocabulary, pronunciation and oral reading ability.

To ensure conversational content, test developers specified that the test materials should conform to the vocabulary that is actually used in conversational English. Spontaneous conversations from 540 North Americans guided the design of test items. Conversation samples were geographically and gender balanced, encompassed a variety of topics, and represented every major dialect of American English. All words used in test items appeared at least four times in the spontaneous conversations. To accommodate test-takers who have been trained to a British English standard, items have been reviewed by two British linguists to ensure conformity to colloquial usage in the United Kingdom and Australia. PhonePassTM SET test items were also reviewed for fairness and bias-free usage by an independent committee of language experts. The audio item prompts are spoken by a diverse sample of educated native speakers of North American English.

Norming
Prototype versions of the PhonePassTM SET-10 test were administered in a series of validation studies to over 4000 native and non-native speakers.

The native norming group comprised 376 educated adults, geographically representative of the U.S. population and from 18 to 50 in age. It had a female/male ratio of 60/40, and was 18% African-American.

The non-native norming group (NNG) consisted of 514 callers, including native speakers of 40 different languages. The non-native norming group was selected from a larger group of more than 3500 non-native callers. For the NNG, the language distribution is similar to the TOEFL (Test of English as a Foreign Language by ETS) population, with Arabic, Chinese, Spanish, Japanese, French, Korean, Italian, and Thai each represented by more than 15 speakers. Their ages ranged from 17 to 79, and the female/male ratio was 50/50.

Validity
During the development of the PhonePassTM SET -10 test, human graders assigned over 26,000 scores from hundreds of different test-takers. Item response analysis of the human grader scores indicates that human graders produce relatively consistent grades for fluency, pronunciation, and conversational skill, with inter-grader reliabilities between 0.82 and 0.86. The overall judgment of conversational skill based on test-taker responses to open questions had a reliability of 0.93.

Academic and commercial organizations across North America, Europe and Asia participated in the development and validation testing of the system.
• Bologna University, Italy
• Cañada College, California
• CITO, National Institute for Educational Measurement, Netherlands
• CUNY, New York
• Defense Language Institute English Language Center, Lackland Air Force Base,
• Texas Deloitte and Touche
• Eastern Michigan University
• Economics Institute, Boulder, Colorado
• EF International Language School, Washington
• Foothill College, Los Altos Hills, California
• IIBC, Institute for International Business Communication, Japan
• Indiana University, Indiana
• Iowa State University, Iowa
• Monroe Community College, New York
• Monterey Institute of International Studies, California
• New York University American Language Institute
• Oklahoma State University, Oklahoma
• Point Loma Nazarene College English Institute, San Diego, California
• San Francisco State University American Language Institute
• Sapporo International University, Japan
• Sierra Academy of Aeronautics, Oakland, California
• Stanford University Linguistics Department
• University of North Carolina at Charlotte, Office of International Programs
• University of Findlay, Ohio
• University of Pennsylvania, English Language Programs
• University of Southern Mississippi

Comparison Charts

The validity of SET-10 tests is confirmed when comparing results with other well-known tests:

Other Tests
SET-10 Result vs. Other Test Results
TOEFL 0.75
TOEFL Reading 0.64
TOEIC Listening 0.71
TOEFL Listening 0.79
New TOEFL Listening 0.78
TSE 0.88
New TOEFL Speaking 0.84
Common European Framework, 1st Experiment 0.84
Common European Framework, 2nd Experiment 0.94
Common European Framework, 3rd Experiment 0.88
ILR Speaking 0.75

TSE
SET-10
25 20-25
30 26-35
35 36-45
40 46-55
45 56-64
50 65-74
55 75-80
SET-10 and TSE Score Comparison

References

Enright, M.K., Bridgeman, B., & Cline, F. (2002, April). Prototyping a Test Design for a New
TOEFL. Paper presented at the annual meeting of the National Council on Measurement in Education, New Orleans, LA.

Godfrey, J.J., & Holliman, E. (1997). Switchboard-1 Release 2. LDC Catalog No.: LDC97S62.
http://www.ldc.upenn.edu

Jescheniak, J.D., Hahne, A., & Schriefers, H.J. (2003). Information flow in the mental lexicon
during speech planning: evidence from event-related brain potentials. Cognitive brain research, 15 (3), 261-276.

Levelt, W. J. M. (1989). Speaking: From Intention to Articulation. Cambridge, MA: MIT Press.

Levelt, W. J. M. (2001). Spoken word production: A theory of lexical access. PNAS, 98 (23),
13464-13471.

Miller, G.A., & Isard, S. (1963). Some perceptual consequences of linguistic rules. Journal of
Verbal Learning and Verbal Behavior, 2, 217-228.

Lennon, P. (1990). Investigating fluency in EFL: A quantitative approach. Language Learning,
40, 387-412.

Ordinate (2000). Validation summary for PhonePass SET-10: Spoken English Test-10, System Revision 43. Menlo Park, CA: Author.

Ordinate (2003). Ordinate SET-10 Can-Do Guide. Menlo Park, CA: Author.

Perry, J. (2001). Reference and Reflexivity. Stanford, CA: CSLI. Publications.

Schneider, W., & Shiffrin, R.M. (1977). Controlled and automatic human information processing: I. Detection, search, and attention. Psychological Review, 84, 1-66.

Van Turennout, M., Hagoort, P., & Brown, C. M. (1998). Brain Activity During Speaking: From
Syntax to Phonology in 40 Milliseconds. Science, 280, 572-574.


 
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