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Ordinal Level of Measurement00:55

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
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People all belong to a gender, race, age, and social economic group. These groups provide a powerful source of our identity and self-esteem (Tajfel & Turner, 1979) and serve as our in-groups. An in-group is a group that we identify with or see ourselves as belonging to.
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In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
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Related Experiment Video

Updated: Oct 22, 2025

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
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Inferences on a multidimensional social hierarchy use a grid-like code.

Seongmin A Park1, Douglas S Miller2,3, Erie D Boorman4,5

  • 1Center for Mind and Brain, University of California, Davis, Davis CA, USA. seongmin.a.park@gmail.com.

Nature Neuroscience
|September 1, 2021
PubMed
Summary
This summary is machine-generated.

Humans create cognitive maps in the brain to make decisions in new situations. This study reveals grid-like brain codes in the entorhinal cortex and medial prefrontal cortex support flexible decision-making and generalization.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Decision Science

Background:

  • Flexible behavior relies on generalizing past experiences to novel situations.
  • Cognitive maps are hypothesized to support this flexibility, but direct evidence is limited.

Purpose of the Study:

  • To investigate the neural basis of cognitive map formation and its role in decision-making.
  • To examine how abstract relationships are represented in the brain for flexible generalization.

Main Methods:

  • Participants learned abstract relationships in a novel 2D social hierarchy.
  • fMRI was used to observe brain activity during decision-making tasks.
  • Representational Similarity Analysis (RSA) was employed to decode neural representations.

Main Results:

  • A unitary 2D cognitive map was reconstructed in the hippocampus and entorhinal cortex.
  • Grid-like codes in the entorhinal cortex and medial prefrontal cortex were identified for inferred trajectories.
  • These grid codes correlated with decision value computations in the medial prefrontal cortex and temporoparietal junction.

Conclusions:

  • The human brain reconstructs abstract relationships into cognitive maps.
  • Grid-like representations facilitate flexible decision-making and generalization in novel, abstract tasks.
  • This suggests a general neural mechanism for adaptive behavior.