Related Experiment Video
Updated: Apr 28, 2026

Measuring Delay Discounting in Humans Using an Adjusting Amount Task
Published on: January 9, 2016
Exploratory and confirmatory factor analyses of probability discounting of different outcomes across different
Abstract:
The present studies used exploratory and confirmatory factor analyses to explore the degree to which probability discounting processes are similar to delay discounting processes. To determine whether these processes are similar, 2 questions were addressed: the degree to which probability discounting outcomes can be categorized into multiple domains (as demonstrated for delay discounting) and whether the inverse magnitude effect would be observed for nonmonetary outcomes. An exploratory factor analysis was conducted using data from the fill-in-the-blank method (Study 1), followed by a confirmatory factor analysis using data from a multiple-choice method (Study 2) as a replication. These studies provide support for the idea that outcomes can be subdivided into multiple domains. Generally, the discounting rates were steeper for tangible outcomes than nontangible outcomes, and a magnitude effect was observed that was consistent with, rather than the inverse of, that observed for delay discounting tasks. Complexities related to the relationship between probability discounting processes and delay discounting processing are discussed.
Related Concept Videos
Factorial Design
Decision Making: P-value Method
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
Determination of Expected Frequency
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Decision Making: Traditional Method
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Reason and Intuition

