Related Experiment Video
Updated: Jul 6, 2026

12:18
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Malingering detection in a Spanish population with a known-groups design
Raquel Vilar-López1, Manuel Gómez-Río, Sandra Santiago-Ramajo
1Departamento de Personalidad, Evaluación y Tratamiento Psicológico, Universidad de Granada, Granada, Spain. raquelvilarlopez@hotmail.com
Summary
This study evaluated malingering detection tests in Spain. The Test of Memory Malingering (TOMM) effectively identified malingering in Spanish populations, showing higher accuracy than the Dot Counting Test.
Area of Science:
- Neuropsychology
- Forensic Psychology
- Clinical Psychology
Background:
- Malingering detection is gaining interest in the US, but lags in Europe, with limited evidence for reliable tests in Spain.
- Existing malingering assessment tools require validation within diverse cultural and clinical contexts, such as the Spanish population.
Purpose of the Study:
- To assess the applicability and efficacy of two malingering detection tests, the Test of Memory Malingering (TOMM) and the Dot Counting Test, in a Spanish sample.
- To determine if these tests can reliably differentiate between individuals feigning symptoms and genuine patients or controls within a Spanish context.
Main Methods:
- A sample comprising non-compensation seeking patients, compensation-seeking patients (suspected and not suspected of malingering), and a control group of analog students (n=54) was recruited in Spain.
- The Test of Memory Malingering (TOMM) and the Dot Counting Test were administered to all participants to evaluate their performance.
- Statistical analyses were performed to compare test results across the different groups and determine classification accuracy.
Main Results:
- Both the TOMM and the Dot Counting Test demonstrated the ability to discriminate between individuals malingering and those not malingering, including both patient and analog groups.
- The Test of Memory Malingering (TOMM) exhibited a higher overall classification rate compared to the Dot Counting Test.
- Performance differences were observed between malingering and non-malingering groups, supporting the utility of these tests in distinguishing genuine from feigned conditions.
Conclusions:
- The findings support the use of the Test of Memory Malingering (TOMM) as a valid and reliable tool for detecting malingering within the Spanish population.
- The TOMM's superior performance suggests it is a more robust indicator of malingering compared to the Dot Counting Test in this sample.
- Further research is warranted to integrate these validated tools into routine clinical and forensic evaluations in Spain.
Related Concept Videos
Group Design
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...
Understanding Deception
Deception is a pervasive aspect of human communication. Empirical studies have shown that most individuals engage in some form of deceit on a daily basis, with approximately 20% of social exchanges involving deceptive elements. Lying follows a developmental trajectory, peaking during adolescence and declining with age, possibly due to the maturation of cognitive control and social accountability.Cognitive and Social Factors in Deception DetectionDespite its prevalence, accurately detecting...
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 child was...
McNemar's Test
McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...

