Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Surveys

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.

Blind Procedures

Blind Procedures

Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...

Multiple Comparison Tests

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...

Methods of Medium Optimization

Methods of Medium Optimization

Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Incubation temperature and satiety influence general locomotor and exploratory behaviors in the common snapping turtle (Chelydra serpentina).

Physiology & behavior·2020

Same author

Performance on a progressive-ratio schedule of food reinforcement during concurrent access to a sucrose solution or tap water.

Behavioural processes·2020

Same author

Texting Dependence, iPod Dependence, and Delay Discounting.

The American journal of psychology·2016

Same author

Differences in the Gambling Behavior of Online and Non-online Student Gamblers in a Controlled Laboratory Environment.

Journal of gambling studies·2016

Same author

Investigating Possible Effects of Ethnicity and Age on Gambling as an Escape.

Journal of gambling studies·2015

Same author

Exploratory and confirmatory factor analyses of probability discounting of different outcomes across different methods of measurement.

The American journal of psychology·2014

Search research articles

Related Experiment Video

Updated: Apr 29, 2026

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Published on: January 9, 2016

Comparing delay discounting rates when using the fill-in-the-blank and multiple-choice methods.

Jeffrey N Weatherly¹, Adam Derenne

¹a University of North Dakota.

The Journal of General Psychology

|May 20, 2014

Summary

Measuring delay discounting is affected by the method used. Different administration methods (fill-in-the-blank vs. multiple-choice) produced different discounting rates and correlations, impacting how we understand decision-making.

Keywords:

delay discounting fill-in-the-blank method multiple-choice method university students

More Related Videos

A Two-interval Forced-choice Task for Multisensory Comparisons

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

Errors as a Means of Reducing Impulsive Food Choice

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

Related Experiment Videos

Last Updated: Apr 29, 2026

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Published on: January 9, 2016

A Two-interval Forced-choice Task for Multisensory Comparisons

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

Errors as a Means of Reducing Impulsive Food Choice

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

Area of Science:

Behavioral Economics
Decision Science
Psychology

Background:

Delay discounting, the tendency to devalue future rewards, is a key concept in understanding decision-making.
Various methods exist to measure delay discounting, but their impact on results is not fully understood.

Purpose of the Study:

To investigate how different measurement methods (fill-in-the-blank vs. multiple-choice) affect delay discounting rates.
To examine the relationship between hyperbolic discounting and the area under the discounting curve across methods.
To explore the factor structure of delay discounting for various outcomes under different administration methods.

Main Methods:

University students completed delay-discounting tasks for five distinct outcomes.
Tasks were administered using either a fill-in-the-blank (FITB) or multiple-choice (MC) method.
Data were analyzed for discounting rates, correlations between hyperbolic discounting and area under the curve, and factor structures.

Main Results:

Administration method significantly influenced discounting rates, with effects varying by outcome.
FITB method showed significant correlations between hyperbolic discounting and area under the curve; MC method did not.
Factor analysis revealed a two-factor solution for FITB data and a one-factor solution for MC data.

Conclusions:

Procedural variables, such as the administration method, can profoundly impact delay-discounting data.
Findings highlight the need for caution when generalizing delay discounting research due to methodological variations.
Further research is required to fully understand the influence of these procedural variables.