Adler

The <code>Adler</code> data frame has 97 rows and 3 columns.  
                                                        
The ``experimenters'' were the actual subjects of the study. 
They collected ratings of the apparent successfulness of
people in pictures who were pre-selected for their
average appearance. The experimenters were told prior to collecting 
data that the pictures were either high or low in their 
appearance of success, and were instructed to get good data, 
scientific data, or were given no such instruction. Each 
experimenter collected ratings from 18 randomly assigned
respondents.

datasets


  This package accompanies J. Fox, An R and S-PLUS Companion to Applied Regression,
  Sage, 2002.
  The package contains mostly functions for applied regression, linear models, and
  generalized linear models, with an emphasis on regression diagnostics, particularly 
  graphical diagnostic methods. There are also some utility functions. 
  With some exceptions, I have tried not to duplicate capabilities in the basic distribution of R, 
  nor in widely used packages. Some of the functions in car will use functions
  in the MASS package, if it is present; the subsets function graphs
  objects produced by the regsubsets function in the leaps package. Where relevant, the functions in
  car are consistent with na.action = na.omit or na.exclude.

John Fox

Companion to Applied Regression

Adler function

Adler, N. E. (1973)
 Impact of prior sets given experimenters and subjects on the experimenter
 expectancy effect.
 <em>Sociometry</em> <b>36</b>, 113--126.

Adler: Experimenter Expectations

Description

Usage

Arguments

source

References