R Dataset / Package car / Adler
On this R-data statistics page, you will find information about the Adler data set which pertains to Experimenter Expectations. The Adler data set is found in the car R package. You can load the Adler data set in R by issuing the following command at the console data("Adler"). This will load the data into a variable called Adler. If R says the Adler data set is not found, you can try installing the package by issuing this command install.packages("car") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Adler R data set. The size of this file is about 1,844 bytes.
Experimenter Expectations
Description
The Adler
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; a few subjects were deleted at random to produce an unbalanced design.
Usage
Adler
Format
This data frame contains the following columns:
- instruction
-
a factor with levels:
GOOD
, good data;NONE
, no stress;SCIENTIFIC
, scientific data. - expectation
-
a factor with levels:
HIGH
, expect high ratings;LOW
, expect low ratings. - rating
-
The average rating obtained.
Source
Adler, N. E. (1973) Impact of prior sets given experimenters and subjects on the experimenter expectancy effect. Sociometry 36, 113–126.
References
Erickson, B. H., and Nosanchuk, T. A. (1977) Understanding Data. McGraw-Hill Ryerson.
Dataset imported from https://www.r-project.org.