Three Issues in Modern Test Theory for the Next 10 Years

Slides:

Advertisements

Similar presentations

High Reliability Healthcare 16 October Patient Safety Events - a Global Problem: 10% of hospital patients suffer an adverse event each year (UK,

Advertisements

Standardized Scales.

1.What is Pearson’s coefficient of correlation? 2.What proportion of the variation in SAT scores is explained by variation in class sizes? 3.What is the.

Remaining Challenges and What to Do Next: Undiscovered Areas Ron D. Hays UCLA Division of General Internal Medicine & Health Services Research

CONFIDENCE INTERVALS HONORS ADVANCED ALGEBRA PRESENTATION 1-9.

Stat 200b. Chapter 8. Linear regression models.. n by 1, n by 2, 2 by 1, n by 1.

GRAPHS OF MEANS How is a Graph of Means Constructed? What are Error Bars? How Can a Graph Indicate Statistical Significance?

Current Statistical Issues in Particle Physics Louis Lyons Particle Physics Oxford U.K. Future of Statistical Theory Hyderabad December 2004.

1 A heart fills with loving kindness is a likeable person indeed.

CONFIDENCE INTERVALS What is the Purpose of a Confidence Interval?

Population Proportion The fraction of values in a population which have a specific attribute p = Population proportion X = Number of items having the attribute.

How to calculate Confidence Intervals and Weighting Factors

1 Health-Related Quality of Life Ron D. Hays, Ph.D. - UCLA Department of Medicine: Division of General Internal Medicine.

Driving Better Safer Care 25 April Background Established May 2007 Independent – reporting directly to Minister for Health and Children Functions.

Business Research Method Measurement, Scaling, Reliability, Validity

Geology 5670/6670 Inverse Theory 26 Jan 2015 © A.R. Lowry 2015 Read for Wed 28 Jan: Menke Ch 4 (69-88) Last time: Ordinary Least Squares (   Statistics)

Multilevel and Multi-method Designs Capturing the Effects of Organizational Context and Process in Implementation Research AHRQ 2007 Annual Conference:

Communicating Statistics What is the message? Philip Sedgwick St. George’s, University of London Burwalls: King’s College London. UK Annual Meeting for.

Correlation and Prediction Error The amount of prediction error is associated with the strength of the correlation between X and Y.

Chapter 14: Inference about the Model. Confidence Intervals for the Regression Slope (p. 788) If we repeated our sampling and computed another model,

Practical Statistics Regression. There are six statistics that will answer 90% of all questions! 1. Descriptive 2. Chi-square 3. Z-tests 4. Comparison.

Determination of Sample Size: A Review of Statistical Theory

Goodness-of-Fit Chi-Square Test: 1- Select intervals, k=number of intervals 2- Count number of observations in each interval O i 3- Guess the fitted distribution.

Normal Distribution.

Statistical planning and Sample size determination.

Item Response Theory (IRT) Models for Questionnaire Evaluation: Response to Reeve Ron D. Hays October 22, 2009, ~3:45-4:05pm

Multitrait Scaling and IRT: Part I Ron D. Hays, Ph.D. Questionnaire Design and Testing.

Example 1 A record company is interested in the difference in their ratings for two different artists. Given the ratings below, are the artists significantly.

1.What is Pearson’s coefficient of correlation? 2.What proportion of the variation in SAT scores is explained by variation in class sizes? 3.What is the.

Confidence Intervals for a Population Mean, Standard Deviation Unknown.

Multitrait Scaling and IRT: Part I Ron D. Hays, Ph.D. Questionnaire.

Statistical Analysis – Chapter 8 “Confidence Intervals” Roderick Graham Fashion Institute of Technology.

Impact of using a next button in a web-based health survey on time to complete and reliability of measurement Ron D. Hays (Rita Bode, Nan Rothrock, William.

Chapter 8: Confidence Intervals for One Population Mean 8.3 Margin of Error.

GrowingKnowing.com © Sample proportions Standard error for proportion = z score = p s is sample proportion. p is population proportion. σ p is.

Health-Related Quality of Life in Outcome Studies Ron D. Hays, Ph.D UCLA Division of General Internal Medicine & Health Services Research GCRC Summer Session.

Margin of Error S-IC.4 Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation.

F73DA2 INTRODUCTORY DATA ANALYSIS ANALYSIS OF VARIANCE.

The Summary Care Record London Ambulance Service: Clinical Hub Pilot.

Evaluating Patient-Reports about Health

REGRESSION G&W p

Introduction to Estimating Population Means

Evaluating Patient-Reports about Health

UCLA Department of Medicine

Evaluating IRT Assumptions

Fig. 1 Kaplan–Meier curves of post-progression survival (PPS) in the docetaxel and best supportive care (BSC) groups. Median PPS was 5.4 months in the.

Reasoning in Psychology Using Statistics

Statistical Inference for the Mean Confidence Interval

The Kings Fund and Pioneer Communities

Prevalence of atopic sensitization and asthma in children aged 13 years with a history of thumb-sucking or nail-biting. Prevalence of atopic sensitization.

Rounding and estimating: Upper and Lower Bounds (sig figs)

OUTLINE Lecture 5 A. Review of Lecture 4 B. Special SLR Models

l l l l l l l l l l l 18.

Error Intervals: Rounded to significant figures

Section 2: Linear Regression.

Reasoning in Psychology Using Statistics

Variations in GP–patient communication by ethnicity, age, and gender: evidence from a national primary care patient survey by Jenni Burt, Cathy Lloyd,

Effects of Pay-for-Performance on the Quality of Primary Care in England Mean Scores for Clinical Quality at the Practice Level for Aspects of Care for.

Percent of respondents *

Adults with Health Problems Who Have an Excellent Patient Experience Are Most Likely to Be Well-Informed About Their Prescription Medications Percent of.

Evaluating Multi-item Scales

Multitrait Scaling and IRT: Part I

Rounding and estimating: Upper and Lower Bounds (sig figs)

Physical Function in Patients with Cancer

Types of Errors And Error Analysis.

Item Response Theory Applications in Health Ron D. Hays, Discussant

Estimating Minimally Important Differences (MIDs)

GIM & HSR Research Seminar: October 5, 2018

Presentation transcript:

Three Issues in Modern Test Theory for the Next 10 Years Ron D. Hays http://twitter.com/rondhays ISOQOL, London, England, October 30, 2010, 15:30 – 17:15 pm

Multidimensionality - Estimating scores - Multidimensional CAT Issue #1 Multidimensionality - Estimating scores - Multidimensional CAT

Multi-level modeling - Patient nested within provider (plan) Issue #2 Multi-level modeling - Patient nested within provider (plan)

Issue #3: Enhancing uses at individual level * Meaning of theta - Clinician care - Regulators (e.g., FDA) * “Responder” - Individual standard errors - Confidence intervals - Responder (significance of change) * Person fit