Gojiberries (Page 27)

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Raising Money for Causes

Four teenagers, on the cusp of adulthood and eminently well-to-do, were out on the pavement raising money for children struck with cancer. They had been out raising money for a couple of hours, and from a glance at their tin pot, I estimated that they had raised about $30 or

Sample This

What do single shot evaluations of MT (replace it with anything else) samples (vis-a-vis census figures) tell us? I am afraid very little. Inference rests upon knowledge of the data (here – respondent) generating process. Without a model of the data generating process, all such research reverts to modest tautology – sample

Representativeness Heuristic, Base Rates, and Bayes

From the Introduction of their edited volume: Tversky and Kahneman used the following experiment for testing the ‘representativeness heuristic’ – Subjects are shown a brief personality description of several individuals, sampled at random from 100 professionals – engineers and lawyers. Subjects are asked to assess whether the description is of an engineer

Comparing Datasets and Reporting Only Non-Duplicated Rows

The following is in response to a question on the R-Help list. Consider two datasets: reported <- structure(list(Product = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 3L, 4L, 5L, 5L), .Label = c("Cocoa", "Coffee C", "GC", "Sugar No 11"

Correcting for Differential Measurement Error in Experiments

Differential measurement error across control and treatment groups or in a within-subjects experiment, pre- and post-treatment measurement waves, can vitiate estimates of treatment effect. One reason for differential measurement error in surveys is differential motivation. For instance, if participants in the control group (pre-treatment survey) are less motivated to respond