Auditory & Visual Attention: New Developments in Assessment Using CPTs C. K. Conners, Ph.D.

Slides:



Advertisements
Similar presentations
Inference about Means/Averages Chapter 23 Looking at means rather than percentages.
Advertisements

Behavioral Assessments Danielle Nickles March 30, 2011.
Multiple Systems Importance of measuring: –Affective –Behavioral –Cognitive –Physiological (biochemical, neurological, etc.)
+ ADHD and Reading Fluency: Predictive Validity of Rating Scales and Computer-Based Diagnostic Tools S. Kathleen Krach, Ph.D., NCSP Troy University Michael.
Peter K. Isquith, Robert M. Roth, & Gerard A. Gioia
General Information --- What is the purpose of the test? For what population is the designed? Is this population relevant to the people who will take your.
Test Site Platt 4 at Hornsby Bend as a NEES Site.
 $ › Manual ($45) › Test Plate Booklet ($80) › 25 Record Forms ($35)
Simple Linear Regression
Figure 7.1 Classifications in the Household Survey.
Attention Deficit Hyperactivity Disorder and the T.O.V.A.
Jared A. Rowland, M.S., Michael M. Knepp, M.S., Sheri L. Towe, M.S., Chris S. Immel, M.S., Ryoichi J.P. Noguchi, M.S., Chad L. Stephens, M.S. & David W.
Reading Assessments for Elementary Schools Tracey E. Hall Center for Applied Special Technology Marley W. Watkins Pennsylvania State University Frank.
Assessment Procedures for Counselors and Helping Professionals, 7e © 2010 Pearson Education, Inc. All rights reserved. Chapter 15 Assessment Issues with.
DEMOGRAPHICS. The Demographics of Aging Population Trends in the United States Figure 1.1 Population demographics for 2000.
Statistics Definition Methods of organizing and analyzing quantitative data Types Descriptive statistics –Central tendency, variability, etc. Inferential.
CSL 409. WHO  The World Health Organization (WHO) is a specialized agency of the United Nations (UN) that acts as a coordinating authority on international.
Correlation and Prediction Error The amount of prediction error is associated with the strength of the correlation between X and Y.
 decimals/cc-7th-fracs-to-decimals/v/converting-fractions-to-decimals-example.
The KOPPITZ-2 A revision of Dr. Elizabeth Koppitz’
$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.
Remote Sensing Classification Accuracy
Inferential Statistics. The Logic of Inferential Statistics Makes inferences about a population from a sample Makes inferences about a population from.
An Innovative Approach to Fair Evaluations for People with Cognitive Disabilities.
Defining Psychological Disorders. Psychological Disorder: What Makes a Behavior “Abnormal”? Anxiety and Dissociative Disorders: Fearing the World Around.
Leiter International Performance Scale – Revised
Kin 304 Descriptive Statistics & the Normal Distribution
Test of Nonverbal Intelligence.  Used for screening  Nonverbal intelligence test  Measures intelligence, aptitude, abstract reasoning, and problem.
Accuracy Assessment Accuracy Assessment Error Matrix Sampling Method
基 督 再 來 (一). 經文: 1 你們心裡不要憂愁;你們信神,也當信我。 2 在我父的家裡有許多住處;若是沒有,我就早 已告訴你們了。我去原是為你們預備地去 。 3 我 若去為你們預備了地方,就必再來接你們到我那 裡去,我在 那裡,叫你們也在那裡, ] ( 約 14 : 1-3)
Kansas GED and Adult Education Dianne Glass, Director Kansas Board of Regents
CTE Business Education Lois Cheek. The DATA – Computer Apps I – 1 st Period Assessment Type Level 1Level 2 Level 3 Level 4 First-Tri-Wk Boys Girls 0012.
Welcome to Unit 7’s seminar: Children and Attention Disorders Do we have any questions about the Unit 5 project? …about Unit 6?
The CRİTERİON-RELATED VALIDITY of the TURKISH VINELAND – II on CLINICAL GROUPS (Autism, Pervasive Developmental Disorder Not Otherwise Specified - PDD.
Comparison of an objective measure of attention, activity and impulsivity in adults with a clinical diagnosis of ADHD or ASD Zoe Young 1&2, Maddie Groom.
Kansas State Department of Education Kansas Student Population Trends (Percent of K-12, September Unaudited Enrollment, Public Schools) 1.
From: High-Density Lipoprotein Cholesterol and Particle Concentrations, Carotid Atherosclerosis, and Coronary Events: MESA (Multi-Ethnic Study of Atherosclerosis)
: No disclosures #21634 Gender and ADHD in Ugandan Children: Comparison of Symptoms, Factor Structure, Prevalence, and Executive Functioning Matthew D.
1. The Decision Making Process
Copyright © American Speech-Language-Hearing Association
Kaufman Assessment Battery for Children, Second Edition KABC-II
Figure S-8: Prevalence of Self-Checking Feet for Sores or Irritations among Adults with Diabetes, By Race and Gender, SC 2010 Checking feet daily for.
ImPACT Test-Retest Reliability in Young Athletes
Chapter 5 Classification, Assessment, and Intervention Bilge Yağmurlu
Hope S. Lancaster1  Stephen M. Camarata2
مقدمة: الاطفال الذين يعانون من كثرة النشاط الحركى ليسوا باطفال مشاغبين، او عديمين التربية لكن هم اطفال عندهم مشكلة مرضية لها تاثير سيء على التطور النفسى.
An Integrated Computational Model to Diagnose Attention Deficit Hyperactivity Disorder (ADHD) Diane Mitchnick, MSc IS, September 27, 2015.
Obesity Trends* Among U.S. Adults BRFSS, 1985
IEPI – Participate | Collaborate | Innovate
الفعل ورد الفعل ♠ ♠ ♠ مجلس أبوظبي للتعليم منطقة العين التعليمية
Слайд-дәріс Қарағанды мемлекеттік техникалық университеті
.. -"""--..J '. / /I/I =---=-- -, _ --, _ = :;:.
Buttercup Study.
II //II // \ Others Q.
I1I1 a 1·1,.,.,,I.,,I · I 1··n I J,-·
All Faculty Meeting Fast facts.
Simple Linear Regression
Wide Range Achievement Test 4 (WRAT 4)
confidence in classification
Auditory-Visual Crossmodal Integration in Perception of Face Gender
C.2.10 Sample Questions.
Correlation & Trend Lines
C.2.8 Sample Questions.
C.2.8 Sample Questions.
Bonus Slide!!! Things to “Carefully Consider”
Anuurad E, et al. Am J Cardiol 2009;103:523-7
. '. '. I;.,, - - "!' - -·-·,Ii '.....,,......, -,
How Closely Do Maine’s RN Graduates Reflect the State’s Diversity?
Types of Errors And Error Analysis.
Diagnostic performance of dentist clinical impression.
Presentation transcript:

Auditory & Visual Attention: New Developments in Assessment Using CPTs C. K. Conners, Ph.D.

Conners’ CPT II Continuous Performance Test II

Conners’ CPT II Development & Standardization

Normative Data l Nonclinical N = 1920 N = 812 Epidemiological Study N = 1108 Multi-Site Study l ADHD N = 378 l Neurological N = 223 (Adults)

Gender Composition of the CPT II Nonclinical Sample

Ethnic Composition of the CPT II Nonclinical Sample *Note: The epidemiological sample classified individuals as “African American” or “Other,” producing a large percentage of “Other” classifications.

Diagnostic Breakdown of Neurological Sample

Conners’ CPT II Developmental Trends (Nonclinical Norm Data)

Hit Reaction Time (HRT)

Standard Error (SE)

Commissions

Omissions

Test-Retest Correlation Coefficients for the CPT II (n = 23) *p <.05 **p <.01

CPT II Discrimination of Clinical and Nonclinical Groups

ANCOVA Results Summary l ADHD, Neuro., and Nonclinical groups compared across measures controlling for Age and Gender l The clinical groups (ADHD & Neuro.) scored significantly higher (p <.001) than nonclinical on ALL measures

ANCOVA Results Summary (continued) l Also, relative to the ADHD group, the Neuro. Group made more omission errors (p <.001) had slower RTs (p <.001) had more variable responses (p <.001) responded less consistently by ISI (p <.001)

Discriminant Functions l Used to identify best predictors for differentiating between groups l Different Functions used for child/adult, ADHD/Neuro assessment l Used to determine classification accuracy rates

ADHD vs. Nonclinical, Ages 6-17: Contribution of Measures to Discriminant Function

ADHD vs. Nonclinical, Ages 18+: Contribution of Measures to Discriminant Function

Neurological Impairment vs. Nonclinical: Contribution of Measures to Discriminant Function

CPT II Confidence Indexes l Based on Discriminant Function Analysis l Provides a Classification Prediction Index > 50 (Prediction: Clinical) Index < 50 (Prediction: Nonclinical) l Exact value of index indicates the “probability” associated with the prediction l Incorrect to use index as the sole criterion for CPT II assessment

Group Differences for 6-17 Year Olds, ADHD vs. Nonclinical 0 = Nonclinical1 = ADHD

Group Differences for 18+ Year Olds, ADHD vs. Nonclinical 0 = Nonclinical1 = ADHD

Group Differences for 18+ Year Olds, Neuro. vs. Nonclinical 0 = Nonclinical2 = Neurological

Classification Accuracy and Error Rates

Reduce False Positives (Option) l Adjusts for Base Rates l Increases certainty of need for follow-up (i.e., helps avoid “false alarms”)

Classification Accuracy (Reduce False Positives Option Used)

Minimize False Negatives (Option) l In clinical settings, may be used to adjust for Base Rates l Useful Option when focus is on corroboration of Dx

Classification Accuracy (Reduce False Negatives Option Used)

Conners’ CPT II Features of the Software

Single Administration Report Options

Multiple Administration Report Options

Multi-Admin Comparison Graph

Multi-Admin Interpretation Text Progressive Analysis Second Administration (Aug 09, 2000) vs. Third Administration (Aug 16,2000) There was a substantial change in the Confidence Index between these two administrations. The decrease in the Confidence Index was sufficient to produce a nonclinical classification on the third administration while the second administration suggested a clinical classification. The change was statistically significant based on the Jacobson-Truax assessment procedure. First Administration (Aug 02, 2000) vs. Second Administration (Aug 09, 2000) There was a substantial change in the Confidence Index between these two administrations. The change was statistically significant based on the Jacobson-Truax assessment procedure. In both administrations, but especially in the first, the Confidence Index favored a clinical classification. Current Performance vs. First Administration First Administration (Aug 02, 2000) vs. Third Administration (Aug 16, 2000) There was a substantial change in the Confidence Index between these two administrations. The decrease in the Confidence Index was sufficient to produce a nonclinical classification on the third administration while the first administration suggested a clinical classification. The change was statistically significant based on the Jacobson-Truax assessment procedure.

CPT II Preference Options

CPT II Medication List

C-DATA l Why do we need an auditory CPT? l What is the goal of this project?

C-DATA l Development of Auditory Attention l LD, ADHD, CAPD

C-DATA l Paradigm Likely need to diverge from visual CPT type paradigms

C-DATA l Paradigm Criteria Applicable to wide age range Measure ability to direct attention to one channel or the other Competing sounds included Include consonant-vowel (CV) elements Verbal and non-Verbal

C-DATA l Paradigm Criteria (Continued) Measure lateral preference Mobility of Attention measured Signal Detection Theory/Response bias Stimulus onset asynchrony varied Inter-Stimulus Interval varied Vigilance measured

C-DATA l Paradigms Tone condition Dichotic Condition

C-DATA l Statistics Hits to targets False alarms to warnings Omissions to targets Delayed responses Mobility REA Laterality