Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Factorial Design02:01

Factorial Design

12.8K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
12.8K
Incentive Theory: Pull Theory of Motivation01:18

Incentive Theory: Pull Theory of Motivation

331
Incentive theory, or the "pull theory" of motivation, suggests that external rewards primarily drive behavior. Individuals are motivated to engage in activities when they anticipate a desirable outcome. This is why people often work hard for promotions or study intensively to achieve high grades. These incentives can be tangible, physical rewards such as money or promotions, or intangible, non-physical rewards like praise and social recognition.
The theory differentiates between...
331
Bias01:22

Bias

3.7K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
3.7K
Ethics in Research01:56

Ethics in Research

22.9K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
22.9K
Persuasion Strategies01:52

Persuasion Strategies

38.2K
Researchers have tested many persuasion strategies, including the foot-in-the door and the door-in-the-face techniques, in a variety of contexts. Ultimately, the principles are effective in selling products and changing people’s attitude, ideas, and behaviors (Cialdini & Goldstein, 2004).
38.2K
The Stanford Prison Experiment03:20

The Stanford Prison Experiment

22.8K
The famous and controversial Stanford Prison Experiment, conducted by social psychologist Philip Zimbardo and his colleagues at Stanford University, demonstrated the power of social roles, social norms, and scripts.
22.8K

You might also read

Related Articles

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

Sort by
Same author

Molecular community data meets anaerobic digestion Model 1 (ADM1) - a study about the correlation between metagenome-centric metaproteomics data of a two-step full-scale anaerobic digester and its corresponding mathematical model.

Water research·2026
Same author

The Omics Molecule Extractor: A Web Application for the Selection of Potential Biomarker Panels.

Journal of proteome research·2025
Same author

Critical Assessment of MetaProteome Investigation 2 (CAMPI-2): multi-laboratory assessment of sample processing methods to stabilize fecal microbiome for functional analysis.

Microbiome·2025
Same author

SBC-SHAP: Increasing the Accessibility and Interpretability of Machine Learning Algorithms for Sepsis Prediction.

The journal of applied laboratory medicine·2025
Same author

Edges are all you need: Potential of medical time series analysis on complete blood count data with graph neural networks.

PloS one·2025
Same author

Fecal metaproteomics enables functional characterization of remission in patients with inflammatory bowel disease.

Journal of proteomics·2025
Same journal

DARUMA: a gateway to fast and easy prediction of intrinsically disordered regions.

PeerJ. Computer science·2026
Same journal

Alzheimer's disease detection using a quantum deep neural network with Haralick feature extraction and simulated annealing optimization.

PeerJ. Computer science·2026
Same journal

Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network.

PeerJ. Computer science·2026
Same journal

An anomaly detection model for multivariate time series with anomaly perception.

PeerJ. Computer science·2026
Same journal

Retraction: A wormhole attack detection method for tactical wireless sensor networks.

PeerJ. Computer science·2026
Same journal

Evaluation of mental disorder with prioritization of its type by utilizing the bipolar complex fuzzy decision-making approach based on Schweizer-Sklar prioritized aggregation operators.

PeerJ. Computer science·2026
See all related articles

Related Experiment Video

Updated: May 20, 2025

Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making
11:51

Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making

Published on: March 2, 2011

15.0K

A laboratory experiment on using different financial-incentivization schemes in software-engineering experimentation.

Dmitri Bershadskyy1, Jacob Krüger2, Gül Calıklı3

  • 1Otto-von-Guericke Universität Magdeburg, Magdeburg, Germany.

Peerj. Computer Science
|March 26, 2025
PubMed
Summary
This summary is machine-generated.

Financial incentives in software engineering experiments can influence developer performance. This study explored three schemes, finding potential impacts despite non-significant results due to sample size.

Keywords:
ExperimentationFinancial incentivesSoftware engineering

More Related Videos

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

5.9K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.3K

Related Experiment Videos

Last Updated: May 20, 2025

Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making
11:51

Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making

Published on: March 2, 2011

15.0K
Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

5.9K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.3K

Area of Science:

  • Computer Science
  • Software Engineering
  • Empirical Studies

Background:

  • Empirical software engineering research often involves developers but rarely uses financial incentives like other scientific fields.
  • Current guidelines suggest incentives mainly for survey participation, not for replicating real-world motivations in experiments.

Purpose of the Study:

  • To investigate the impact of different financial incentivization schemes on developer performance in controlled software engineering experiments.
  • To bridge the gap in understanding how monetary rewards influence participant behavior and outcomes in empirical software engineering.

Main Methods:

  • Conducted a preliminary survey on real-world financial incentives used with developers.
  • Designed and implemented three distinct incentivization schemes: performance-dependent, performance-independent, and open-source mimicry.
  • Employed a between-subject experimental design to compare the effects of these schemes on participant performance.

Main Results:

  • Preliminary findings suggest that different financial incentivization schemes can influence participant performance in software engineering experiments.
  • Results were not statistically significant, likely due to small sample sizes and limited statistical power.
  • Notable trends were observed, offering potential directions for future research and hypothesis generation.

Conclusions:

  • Financial incentives are a relevant factor in software engineering experiments, potentially affecting developer performance.
  • Understanding these impacts is crucial for designing more effective experiments and for organizations developing compensation strategies.
  • Further research with larger sample sizes is needed to confirm the observed trends and establish statistical significance.