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Postschool Data Collection: Training Interviews

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Required Online Course (short) : SUNY RF. Conducted by PIAR Staff ... Protecting respondent rights. Initiating the survey. Consent ... – PowerPoint PPT presentation

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Title: Postschool Data Collection: Training Interviews


1
Post-school Data Collection Training Interviews
  • Potsdam Institute for Applied Research (PIAR)
  • At SUNY Potsdam, J. Pat Turbett, Director
  • Center for Change in Transition Services (CCTS)
  • At Seattle University, Cinda Johnson, Principal
    Investigator

2
New York
  • Potsdam Institute for Applied Research (PIAR)
  • At SUNY Potsdam
  • J. Pat Turbett, Director
  • 315-267-2718 piar_at_potsdam.edu

3
New York State
  • Urban-Suburban-Rural
  • 700 districts
  • 3.3 Million Students 1.1 Million in NYC
  • 25,000 exits Special Education each year
  • 8,000 from NYC
  • 2005-2006 SPP14 includes 107 NYC
  • (73 districts had 25 or fewer in their survey
    pool)

4
Central Interviewing/ Call Center What works
well (strengths)
  • Efficient to train and supervise staff
  • Consistent, onsite, training and supervision
  • Interviewing 7 days a week morning-evening
  • Security
  • Simplifies mid-survey modifications
  • Improves interviewer and respondent objectivity
  • Computerized onsite management tools
  • Consistent messages/T.A. to districts

5
Training to interviewers
  • Voluntary Confidential Accuracy
  • Required Online Course (short) SUNY RF
  • Conducted by PIAR Staff
  • At hire, and regularly throughout survey cycle
  • Provide and Review an Interviewers Manual
  • Expectations/ Responsibilities/ Schedules
  • Orientation to the Computer based surveys
  • Practice Practice Practice

6
Training to interviewers
  • Voluntary Confidential Accuracy
  • Protecting respondent rights
  • Initiating the survey
  • Consent
  • Strategies for objective interviewing
  • Consistent survey administration
  • Disability awareness and appropriate
    accommodation strategies

7
Survey Formats
  • Computer assisted phone survey
  • CASES Software
  • Web-based survey
  • Mail Survey
  • English
  • Spanish
  • Large Print

8
Contact Rates
  • Statewide 65
  • New York City 52
  • Rest-of-State 69
  • Districts with 10 or more in the survey pool
  • 27 to 90
  • ED 52
  • Minority 50 Dropped Out 42

9
Reporting data
  • All data are securely stored and backed up onsite
  • Automated and customized reports
  • Preliminary reports are prepared for NYSED
  • Final Reports are generated for NYSED
  • Demographic Representativeness
  • Response Rates by Demographic Characteristic
  • Statewide, District Sub-population Reports

10
Limitations and areas of improvement
  • Interviewers are calling all over the state and
    may not understand all local references.
  • Respondents do not know SUNY/interviewers and are
    sometimes suspicious or reluctant to participate.
  • We have a limited number of interviewer stations
    and equipment
  • It is difficult to find interviewers who speak
    every language spoken by respondents/families.

11
Limitations and areas of improvement General
  • Out-of-Date Contact Information provided by
    districts is more of a factor than refusals
  • Students with more stable lives are more likely
    to be interviewed during the federal survey
    cycle.
  • Improvement testing earlier contact and
    surveying to improve response rates among at risk
    youth

12
Washington State
  • Center for Change in Transition Services
  • www.seattleu.edu/ccts
  • Seattle University
  • Cinda Johnson, Principal Investigator
  • 206-296-5888 cinda_at_seattleu.edu

13
Washington State Census Data
  • All districts, all leavers
  • Districts with high schools 248
  • Graduates and drop-outs 5,000 plus
  • 80 contact rate with all leavers

14
Post-school Outcome Data
  • 12th year of post-school data collection
  • Consistent survey with district input
  • Paper/pencil to web-based survey
  • Districts use data for LEA application for funds
  • Districts develop goals for program improvement

15
Training for interviewers
  • Assist districts in developing system for data
    collection
  • Training in person, video, teleconferencing and
    web-based
  • Expectations, responsibilities, timelines
  • Training to the computer-based surveys
  • Voluntary and confidential

16
Training to interviewers
  • Protecting respondents rights (IRB)
  • Assuring consent
  • Identifying respondent
  • Consistency of interview
  • Timing the calls and initiating the survey (at
    least 3 attempts at different times of day)
  • Accommodation strategies, LEA identifies

17
Training Activities
  • Directors meetings (fall and spring)
  • Conferences
  • State department of education monthly bulletins
  • Email list serve
  • CCTS website

18
Post-school Outcome Survey
  • Web-based survey
  • Training modules online
  • Research coordinator at CCTS
  • District manager
  • District users

19
Reporting data
  • All data are securely stored and backed up onsite
  • Reports provided for SPP, state, districts and
    agencies
  • Disaggregated by disability, gender, ethnicity
    and race, urban to rural, educational region,
    county.
  • Comparison to state level data and by year.

20
Suggestions for Improvement
  • Assure that emergency contact information is up
    to date and reliable.
  • Be prepared to offer resources and information to
    former students and families.
  • Share post-school data beyond special education
    personnel.

21
Conclusion The Top Ten
  • Things you should never do as an interviewer!

22
Top Ten
  • Interview the wrong person.
  • Make up questions and codes of your own.
  • Talk to other people while on the phone (other
    than people you should be interviewing).
  • Talk so fast that even you dont know what you
    are asking.
  • Tell someone how much you like them or their
    answers.

23
The Top Ten, continued
  • Tell your friends how silly someones answers
    were it might have been them you were talking
    to.
  • Tell an anonymous participant you like being
    their neighbor and once dated their brother.
  • Laugh at any answers.
  • Accept offers of dates from participants (or
    propose one).
  • (Okay, top 11!) Swear or use slang or make sexual
    comments (unless they are in the survey).
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