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Participants: 65 Pregnant Adolescents in Teen Parent Programs

Participants: 65 Pregnant Adolescents in Teen Parent Programs. Means: age: 16.12, GPA: 2.04, age/grade lag: .17, Grade: 10.8, FOB/MOB age difference: 3.17 year Percentage: AA (13%), Hispanic (42%), Caucasian (45%). Refusal rate: 2% Attrition: 6% (fetal demise, diagnosis of CA)

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Participants: 65 Pregnant Adolescents in Teen Parent Programs

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  1. Participants: 65 Pregnant Adolescents in Teen Parent Programs Means: age: 16.12, GPA: 2.04, age/grade lag: .17, Grade: 10.8, FOB/MOB age difference: 3.17 year Percentage: AA (13%), Hispanic (42%), Caucasian (45%). Refusal rate: 2% Attrition: 6% (fetal demise, diagnosis of CA) 7 Sites: Relationship of demographics to school attendance: site, ethnicity, SES, age, grade, GPA P values: .13 - .95 Was I happy?

  2. Statistical tests: Were the right ones used? Demographics: 7 groups: ANOVA used.. not 42 T-Tests Linear Regression: Not single order correlations DV: school attendance: interval data: 1-21 days. Variables entered into the computer in a step-wise manner based on the TPB: 1st: Demographics then TPB concepts

  3. Theory of Planned Behavior

  4. DV: C = School attendance: IV: A= Attitude: r = AC + ABC R2= ACbeta = ACIV: B= Social Norm r = BC+ABC beta= BC

  5. Single order correlations can be deceiving!

  6. Did the theory (model) work? How do you know?Why are the R2 and Adjusted R2 different (think sample size!)

  7. Does the TBP help us understand school attendance? IVs: Demographics: Did not predict school attendance: P = .28 - .62 IVs: Attitude + Social Norm + Perceived Control + Intention Predicted DV: School Attendance Why is this a helpful thing to know?

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