Published by WMF Press, the Compositator creates custom composite scores from subtests of the WJ III NU. It uses multiple regression, path analysis, and a host of other features to enhance the clinical interpretation of the WJ III NU.

Compositator video tutorial here.

In its original incarnation, the Compositator was an Excel spreadsheet with far fewer capabilities. However, because it is more generic (it can be used with any tests for which you know the test intercorrelations and test reliability coefficients), I have made it available here. It is not published by WMF Press.


The TableMaker is designed to help providers of psychological assessments organize and present test data in a simple, efficient, and theoretically informed manner. You enter an evaluee's test scores in an order that is convenient and theoretically organized tables are generated in MS Word.

TableMaker video tutorial here.

The software is free. For now, it runs on Windows only.

For non-Windows users, I made an Excel spreadsheet that accomplishes much of what TableMaker does. Download it here. Also see the video tutorial for the spreadsheet version.

Estimating Latent Scores in Individuals

What If We Took Our Models Seriously

I wrote a commentary in a special issue of the Journal Psychoeducational Assessment. My article proposes a new way to interpret cognitive profiles. The basic idea is to use the best available latent variable model of the tests and then estimate an individual's latent scores (with confidence intervals around those estimates). I have made two spreadsheets available, one for the WISC-IV and one for the WAIS-IV.

Five-Factor Model of the WISC-IV

Four-Factor Model of the WAIS-IV

I decided not to provide a spreadsheet for the five-factor model of the WAIS-IV because Gf and g were so highly correlated in that model that it would be nearly impossible to distinguish between Gf and g in individuals. You can think of Gf and g as nearly synonymous (at the latent level).

Schneider, W. J. (2013). What if we took our models seriously? Estimating latent scores in individuals. Journal of Psychoeducational Assessment, 31, 186–201.

Cognitive Rehabilitation Suite


I have created a suite of over 25 repeatable tests. For now, none of them have been normed but they can be used for cognitive rehabilitation and qualitative assessment. The suite includes tests of attention, long-term and working memory, reasoning, reaction time, executive functions and visual-spatial processing.

With an explanation of your credentials, this is available upon request.


Making predictions about individuals using multiple regression and custom composite scores (Allows you to combine psychological test scores and create multiple regression formulas that can be applied to individuals)


Making predictions about individuals using multiple regression (Allows you to create multiple regression formulas that can be applied to individuals)


Generalized Relative Proficiency Index (Extends the usefulness of the RPI from the Woodcock family of test batteries)


Difference Score Replication Predictor (Calculates the probability of replicating difference scores larger than a specific criterion)


Base Rates (Calculates positive and negative predictive power and other useful statistics given a test's specificity and sensitivity)


Confidence Intervals (Calculates the confidence interval of a test, given the reliability coefficient)


Standard Score Converter (Convert any standard score to any other standard score (e.g., scaled scores, T-scores, and index scores)

Statistical Tools

Area Under the Normal Curve (Graphic tool that calculates the proportion under a normal curve)

Understanding Statistical Power (Basic tool for calculating statistical power for known distributions. Has an interactive graph of the null and alternative distributions.)

Z-test (Conducts a z-test. Has an interactive graph of the normal distribution)

1-Sample t-test (Conducts a 1-sample t-test. Has an interactive graph of the t distribution.)

Basic Statistical Tables and Tools (F, t, and Z-Score tables, Area under normal curve, Z-test, 1-sample t-test)

ExcelToR Matrix Maker

Excel To R

ExcelToR Matrix Maker (A simple tool for making R matrices in Excel)

  1. Make a matrix anywhere in this spreadsheet.
  2. Select the matrix.
  3. Click one of the buttons.
    • Make Matrix: A simple matrix with no names
      Unnamed Matrix
    • Make Named Matrix: Place names like so:
      Named Matrix
      MatrixName <- rbind(
      MatrixNameRows <- c("RowName1", "RowName2")
      MatrixNameCols <- c("ColName1", "ColName2")
      colnames(MatrixName) <- MatrixNameCols
      rownames(MatrixName) <- MatrixNameRows
    • Make String Vector: A row or column of cells with text
      String Vector
      c("Text1", "Text2", "Text3", "Text4")
  4. It will look like nothing happened. However, a VBA macro constructed the code and copied to the clipboard. Simply go to R and click paste.

Latent Structure Simulations

A spreadsheet that offers a simple way to simulate data according to a structural model that you specify.

A video tutorial that shows how to use the spreadsheet: