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Selected KIP Survey Results Fall 2003. Robert J. Illback, PsyD & Daniel Sanders, PhD REACH of Louisville. KIP Survey. Measures ATOD use and related factors for students in Grades 6, 8, 10, & 12 Originated in KY with CSAP-funded KIP projects in 1999

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selected kip survey results fall 2003

Selected KIP Survey ResultsFall 2003

Robert J. Illback, PsyD & Daniel Sanders, PhD

REACH of Louisville

kip survey
KIP Survey
  • Measures ATOD use and related factors for students in Grades 6, 8, 10, & 12
  • Originated in KY with CSAP-funded KIP projects in 1999
  • Items derived from on Hawkins & Catalano’s “Student Survey of Risk and Protective Factors and Prevalence of Alcohol, Tobacco, & Other Drug Use” (1998)
  • Originally intended to allow comparisons among SIG states, given in fall and spring
  • Current plan is to administer bi-annually
administration scoring
Administration & Scoring
  • Administered at four grade levels within each participating district
  • Training of district coordinators
  • Voluntary participation
  • Protections for anonymity
  • “Passive consent” model
  • About 40 minutes to administer
  • Sent to service bureau for scanning and data verification
scale components
Scale Components
  • Demographics – Age, gender, race, zip, achievement, grades, SES, school attendance, family constellation, urban/suburban/rural
  • ATOD Use (personal & peer) – 30 day, past year, lifetime, onset
  • ATOD-related problems/antisocial behavior
  • ATOD accessibility
  • Values (personal, parental)
  • School safety
  • Family harmony/conflict
demographics of the 2003 sample
Demographics of the 2003 Sample
  • Not representative of the state as a whole
  • Across the 38 school districts (plus School for the Blind), 28,372 students completed the survey
  • Equal distribution by gender (50%)
  • About 1/3 participate in the free/reduced school lunch program (proxy for SES)
30 day substance use
30-Day Substance Use
  • Exploratory factor analysis, principal components, varimax rotation, Kaiser normalization (Eigenvalue set at 1.0)
  • Two factor solution emerges across 11 substances
  • Factor 1 – alcohol, tobacco, marijuana
  • Factor 2 – all other substances
  • Accounts for 58.1% of the variance
predicting atod abuse and related problems some preliminary analyses
Predicting ATOD Abuse and Related Problems(Some Preliminary Analyses)
  • Step-wise logistic regressions for:
    • Heavy smoking use (1/2 pack per day or more in last 30 days)
    • Drunkenness (1 or more times in last 30 days)
    • Regular marijuana use (3 or more times in last 30 days)
  • Predictors – age, gender, family conflict, SES, perceived risk, perceived availability, peer use, personal disapproval, parental disapproval
heavy smoking in last 30 days
Heavy Smoking in Last 30 days
  • Logistic regression (forward, stepwise) of demographic and smoking-related items
  • Salient predictors
    • Friends who smoke (#11a)
    • Parental disapproval (#41b)
    • Personal disapproval (#40b)
    • Grades (#9)
  • R2 (Nagelkerke) = .517
  • Variables that did not contribute appreciably greater predictive power: age, gender, family conflict, risk perception, availability, age of 1st use

Classifies 92.9% of cases

drunk in last 30 days
Drunk in Last 30 Days
  • Logistic regression (forward, stepwise) of demographic and alcohol-related items
  • Salient predictors
    • Friends who drink (#11b)
    • Personal disapproval (40a)
  • R2 (Nagelkerke) = .483
  • Variables that did not contribute appreciably greater predictive power: age, gender, grades, family conflict, parental disapproval, risk perception, availability, age of 1st use

Classifies 85.8% of cases

regular marijuana use in last 30 days
Regular Marijuana Use in Last 30 Days
  • Logistic regression (forward, stepwise) of demographic and marijuana-related items
  • Salient predictors
    • Friends who drink (#11c)
    • Personal disapproval (40c)
  • R2 (Nagelkerke) = .582
  • Variables that did not contribute appreciably greater predictive power: age, gender, grades, family conflict, parental disapproval, risk perception, availability, age of 1st use

Classifies 93.7% of cases