<--- Back to Details
First PageDocument Content
Econometrics / Data analysis / Statistical models / Item response theory / Expectation–maximization algorithm / Normal distribution / Variance / Parameter / Polytomous Rasch model / Statistics / Psychometrics / Estimation theory
Date: 2003-04-09 04:19:56
Econometrics
Data analysis
Statistical models
Item response theory
Expectation–maximization algorithm
Normal distribution
Variance
Parameter
Polytomous Rasch model
Statistics
Psychometrics
Estimation theory

PIRLS 2001 Technical Report, Chapter 11

Add to Reading List

Source URL: timssandpirls.bc.edu

Download Document from Source Website

File Size: 171,74 KB

Share Document on Facebook

Similar Documents

Hierarchical factor item response theory models for PIRLS: capturing clustering effects at multiple levels 1 Frank Rijmen

DocID: 1ubYB - View Document

Chapter 8 The “New Psychometrics” – Item Response Theory Classical test theory is concerned with the reliability of a test and assumes that the items

DocID: 1tlIe - View Document

Psychometrics / Education / Statistics / Evaluation / Item response theory / Maximum likelihood estimation / Test score / Likelihood function / Attribute hierarchy method

CHAPTER 5 Estimating an Examinee’s Ability 84

DocID: 1rsJm - View Document

Statistics / Statistical models / Psychometrics / Machine learning / Educational psychology / Estimation theory / Item response theory / Rasch model / Cross-validation / Regression analysis / SAT

Evaluating Problem Difficulty Rankings Using Sparse Student Response Data Ari BADER-NATAL 1 , Jordan POLLACK DEMO Lab, Brandeis University Abstract. Problem difficulty estimates play important roles in a wide variety of

DocID: 1reBw - View Document

Statistics / Psychometrics / Statistical models / Estimation theory / Education / Item response theory / Rasch model / Score / Differential item functioning / Maximum likelihood estimation

CHAPTER 6 The Information Function 104 Chapter 6: The Information Function

DocID: 1re3x - View Document