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What is AM Statistical Software?
Software Support
Database Support
Manual
Home
Download
What is AM Statistical Software?
Software Support
Database Support
Manual
Significance Tests
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Manual
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Post-hoc Procedures
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Significance Tests
Table Of Contents
Manual
Getting Started
Starting the Program
Retrieving Data
Importing AM Text Import File
General Import/Export
Importing SAS Files
Importing SPSS.SAV File
Data File Format
Saving Data
Opening an Existing AM Data Set
Extracting Variables from a Large Data Set
Manipulating Data
The Variable List
The Variable List Menu
Filter Observations/Selecting
Add New Variables
Delete Variables
Edit Metadata
Set Replicate Weights
New Variable Reserve
Edit Value Labels
Dummy Code Categorical Variable
Collapse Categories of Categorical Variable
Set Missing Values
The Expression Evaluator
Saving and Re-running Actions
Reviewing and accessing the code
Saving and re-running statistical models
Sampling
BIB Spiraling
Sample Design
Sampling Weights
Procedures
Measurement Models
IRT Models
Conditional Independence
One-Parameter Logistic
Two-Parameter Logistic Model
Three-Parameter Logistic Model
Generalized Partial Credit Model
MML Models for Test Data
MML Regression
MML Means
MML Ordinal Tables
MML Nominal Tables
NAEP Tables
NALS Tables
MML Composite Regression
MML Composite Means
Other Available Procedures
Descriptive
Frequencies
Percentiles
Correlation
Regression
Probit and Logit
Generalized Multinomial Logit
Generalized Mantel Haenszel Chi Square
Totals
Other Model Options
Graphics
Sectioned Density Plot
Bar and Line Charts
Graphic Attributes
Save and Edit Graphics
Tools
Estimation Methods
Maximum Likelihood
Marginal Maximum Likelihood
Bayesian Estimation
Plausible Value Procedures
Optimization Techniques
EM Algorithm
Newton-Raphson
Steepest Ascent
Slog Through
Steepest Ascent With Reset
Newton-Raphson With Reset
Variance Estimation
Replication Procedures
Jackknife Repeated Replication
Balanced Repeated Replication
Taylor Series Expansion
Post-hoc Procedures
Significance Tests
Predicted Values
Plausible Values Imputations
Posterior Distribution
Underlying Tables
Variance/Covariance Matrix
Correlation
T-Tests
Wald Tests
More user input instructions
The User Interface
Completed Run Queue
The Variable List
Input Instructions
Options
Output Precision
Glossary of Terms and Symbols
Significance Tests - DRAFT VERSION