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Ashley M. Butler, MS Sheila M. Eyberg, PhD Elizabeth V. Brestan, PhD

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Presentation on theme: "Ashley M. Butler, MS Sheila M. Eyberg, PhD Elizabeth V. Brestan, PhD"— Presentation transcript:

1 Examination of the Eyberg Child Behavior Inventory Discrepancy Hypothesis
Ashley M. Butler, MS Sheila M. Eyberg, PhD Elizabeth V. Brestan, PhD The 6th Annual Parent-Child Interaction Therapy Conference January 28, 2006 Third author? This poster is BEAUTIFUL! I love these colors, this style, and this font!!!

2 The ECBI Measures child disruptive behavior Has two scales
parent-report 36-items Has two scales Intensity Scale severity of disruptive behavior Problem Scale parent perception of child’s behavior

3 The ECBI Clinical utility in PCIT Measure of initial behavior severity
Measure of behavior change Measure of behavior severity outcome Measure of treatment maintenance I’ll put any content changes in red so you can decide if it’s relevant or important

4 Additional Clinical Utility
ECBI scales positively correlated ECBI Discrepancy Hypothesis ECBI is an indirect measure of problematic parenting styles when scale scores are discrepant in either direction

5 Discrepancy Hypothesis
This is an EXCELLENT way to show the hypothesis! I’m curious where these exact T scores came from, though. Were they the actual means for the two groups with significant discrepancy scores? – Just curious. T Score

6 Purpose and Specific Aims
Examine Discrepancy Hypothesis Aim One Examine whether ECBI discrepancy scores predict parental tolerance for child misbehavior Aim Two Examine whether an ECBI discrepancy marker could be used to identify parents with deviant tolerance levels for child’s misbehavior

7 Measures Demographic Questionnaire ECBI
Child Rearing Inventory (CRI) (Brestan et al., 2003) Parent tolerance for child misbehavior Cronbach’s alpha = .72 2-wk test-retest stability = .69 Convergent validity Standardization included 37% African Americans On this lide I just corrected the punctuation in et al., and put spaces on both sides of the = sign, and took period out after wk

8 Participants Recruited from pediatric clinics and preschools in Gainesville, FL Female primary caregiver self-identified African American Child 3-5 years (Total N = 139) Boys = 51%; Girls = 49% Low Middle SES Hollingshead Index of Social Status = 31

9 Discrepancy Theory Aim 1
Do ECBI discrepancy scores predict parental tolerance for child misbehavior? Raw scores converted into T scores Calculated discrepancy scores Subtract Intensity T score from Problem T score T-score difference > 10 is significant Negative discrepancy score = Problem score higher Positive discrepancy score = Intensity score higher Scores ranged from – 40 to 33 Discrepant group when T score difference > 10 [this bullet taken from slide 11. If you define “Higher” here, there is more room on Slide 11 and you don’t have to repeat bullet 2 there.

10 Discrepancy Theory Aim 1 Simple linear regression F(1, 137) = 4.82
DV = Parent tolerance (CRI) higher scores = lower tolerance for misbehavior IV = Discrepancy scores F(1, 137) = 4.82 r = -.18* ECBI discrepancy scores significantly predicted parent tolerance for child misbehavior Would you want to give a third bullet to say what the F of 4.82 means? Or maybe separate F and r result so that you could also bullet what a significant r means?? (I know you would explain it, but many in the audience won’t have a clue what your last bullet means,

11 Discrepancy Theory Aim 2
Can a discrepancy marker identify parents with deviant tolerance levels for child’s misbehavior? Raw scores converted into T scores Discrepant group when T score difference > 10 [removed above bullets, but you can put them back here if you prefer]

12 “Non-discrepant” group
Aim 2 Discrepancy Theory 82% 114 “Non-discrepant” group Non-discrepant Scores 7% 10 “Permissive”group Higher Intensity Score 11% 15 “Intolerant” group Higher Problem % sample n

13 Parent Tolerance (CRI)
Aim 2 Discrepancy Theory Three level one-way ANOVA F (2, 21.57) = 6.22*; p <.01 Planned Contrasts Parent Tolerance (CRI) I made graph a little larger so it is readable (even a font size of 18 is pushing it for folks without vision!) t = 3.40* t = -2.98*

14 Conclusions First empirical support for ECBI discrepancy hypothesis
Practical way to quantify ECBI discrepancy Inform treatment planning Outstanding Poster!!!!


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