Some Works of Richard B. Darlington

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Works are listed here by topic; for a chronological list of these same works, click here.
The chronological list helps you see what's been added since your last visit.

 This is not a vitae; it lists only works published here at this site.
 

Topics

To see titles of works on all these topics instead of just one, simply scroll down.
Regression and linear models Tests on the center of a distribution
Meta-analysis Contingency tables
Specific statistical and measurement issues in psychology
Infant looking times, The Bell Curve
Comparative neuroanatomy and neural ontogeny
Miscellaneous statistical methods
Transforming variables, the sign test, a permutation test, factor analysis
Some quantitative methods with little application to psychology
Statistical process control, life expectancy, the Electoral College

Works grouped by topic

Regression and linear models

The SWEEP algorithm for multiple regression (4/98)

 ALLSETS: a simple algorithm for all-subsets regression (4/98)

 Using ALLSETS to identify collinear sets (4/98)

 Typos and other errors in Regression and Linear Models (3/98)

 Supplementing random assignment with statistical control (8/96)

 How many covariates to use in randomized experiments? (8/96)

 Computation-based estimates of true shrunken multiple correlations (9/96)

 Correcting the standard errors of regression slopes for heteroscedasticity (1/97)

 A regression approach to time-series analysis (9/96)

 Combining human judgment and multiple regression (1/97)

 Multivariate analysis (1/97)

 A new diagnostic measure di for regression (3/98)
 
 

Tests on the center of a distribution

The Wilcoxon signed-ranks test (9/96)

 A normal-scores alternative to the Wilcoxon test (9/96)

 REPTOC--An adaptive alternative to the Wilcoxon signed-ranks test (1/97)

 Some crude tables for assessing power and establishing confidence bands for the Wilcoxon signed-ranks test (3/98)
 
 

Meta-analysis

This site contains many tables useful for meta-analysis which are not listed here. Their use is explained in the article "Combining independent p values: extensions of the Stouffer and binomial methods," by Richard B. Darlington and Andrew F. Hayes. Psychological Methods, Dec. 2000. The URLs (web addresses) for those tables are given in that article. The URLs do not appear here because I want you to read that paper before using the tables. That article and the accompanying tables represent substantial work and thought done after the article and tables below were posted.

A meta-analytic "p-pooler" with three advantages (9/96)

New tables for the p-product meta-analytic method (2/98)

Critical values of R(k,s) for k up to 30 and s up to 20, for alpha values of .1, .05, .025, .01, .005, .0025, .001 (6/98)

 

Contingency tables

Measures of association in crosstab tables (9/96)

  Some new 2 x 2 tests (9/96)
 
  A free exact 2 x 2 test (5/04)

 

Specific statistical and measurement issues in psychology

The use of infant looking times in statistical analysis (9/96)

 "The Bell Curve"--solid center or abnormal deviate? (8/96)

 Measuring the Degree of Distinction (8/12)
 
 

Comparative neuroanatomy and neural ontogeny

Were the conclusions of Finlay and Darlington (1995) distorted by their failure to control for taxonomic grouping, body size, and part-whole correlations? (9/96)

 Integrating the models of Robinson and Dreher (1990) and Finlay and Darlington (1995) on the timing of mammalian neurological development (9/96)

 Correction to Table 1 of the June 1995 Science article "Linked regularities..." by Barbara Finlay and Richard Darlington (9/96)
 
 

Miscellaneous statistical methods

Transforming a variable to a normal distribution or other specified shape (1/97)

 The sign test (9/96) (includes a large table)

 A permutation test for testing the difference between averages of correlation types in a large correlation matrix (8/96)

 Factor analysis (1/97)

Binomial tables. Each table shows the probability p of s or more successes in k independent trials, where P is the probability of success on each trial. For k up to 1000, tables show all values of p between .1 and .0001. (3/99)
Table for P = .01..... Table for P = .05..... Table for P = .1..... Table for P = .5

 Compact binomial tables. Let P denote the probability of success on each trial, s the number of successes, and p the probability of s or more successes in k independent trials. For s up to 1000 and for four values of P, these tables allow you to tell whether p falls below .05, .01, or .001.  (2/98)
Table for P = .01..... Table for P = .05..... Table for P = .1..... Table for P = .5
 
 

Some quantitative methods with little application to psychology

Regression methods in statistical process control (1/97)

 Are we measuring "life expectancy" the best way? (1/97)

 The Electoral College: bulwark against fraud (3/98)
 


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