R Dataset / Package car / Adler

How To Create a Barplot

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How To Create a Stacked Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Boxplot

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Correlation Coefficient

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Cumulative Frequency Histogram

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Dotplot

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Hollow Histogram

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Numerical Summaries

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Pie Chart

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Plot

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Regression

Stem and Leaf Plots

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Visual Summaries

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-car-adler.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-71014.csv 1.8 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com 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. 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.

Documentation

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.

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Dataset imported from https://www.r-project.org.

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