Related Experiment Video
Updated: Jul 10, 2026

16:23
Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
Published on: February 27, 2014
Are liberals really dirty? Two failures to replicate Helzer and Pizarro's (2011) study 1, with meta-analysis
1University of Scranton.
Journal of Personality and Social Psychology
|June 20, 2020
Summary
Cleanliness cues, like hand sanitizer, may slightly influence political attitudes. However, attempts to replicate previous findings showed minimal effects, suggesting a very small influence overall.
Area of Science:
- Social Psychology
- Political Psychology
Background:
- Previous research suggested environmental cleanliness cues can influence political attitudes.
- Helzer and Pizarro (2011) found participants near hand sanitizer reported more conservative attitudes.
Purpose of the Study:
- To attempt replication of Helzer and Pizarro's (2011) findings on cleanliness cues and political attitudes.
- To conduct a meta-analysis combining original and replication studies.
Main Methods:
- Two direct replication attempts of Study 1 from Helzer and Pizarro (2011).
- A meta-analysis including the original studies, the current replication attempts, and a third failed replication.
Main Results:
- Both replication attempts failed to reproduce the original findings.
- The meta-analysis indicated a very small effect size for cleanliness cues on political attitudes.
Conclusions:
- The influence of cleanliness cues on political attitudes appears to be minimal.
- Replication efforts highlight the importance of verifying initial findings in social psychology.
Related Concept Videos
Regression Toward the Mean
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Self-Discrepancy Theory
One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.
Null and Alternative Hypotheses
The actual hypothesis testing begins by considering two hypotheses. They are termed the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the population that is...
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the population that is...
Errors In Hypothesis Tests
When performing a hypothesis test, there are four possible outcomes depending on the actual truth (or falseness) of the null hypothesis and the decision to reject or not.
Systematic Error: Methodological and Sampling Errors
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Bias in Epidemiological Studies
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:

