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Related Concept Videos

Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Introduction to Test of Independence01:21

Introduction to Test of Independence

In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
Hypothesis Test for Test of Independence01:16

Hypothesis Test for Test of Independence

The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
Criteria for Causality: Bradford Hill Criteria - II01:28

Criteria for Causality: Bradford Hill Criteria - II

The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
Independent and Dependent Sources01:18

Independent and Dependent Sources

In electrical circuits, sources play a crucial role in providing power for the operation of the circuit. These sources can be broadly categorized into two types: independent and dependent.
Independent voltage or current sources supply a fixed amount of voltage or current, respectively, which is unaffected by other elements within the circuit. These are represented using specific symbols. Independent voltage sources are symbolized with polarities (+ and -), indicating the direction of the...

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Related Experiment Video

Updated: May 11, 2026

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
07:36

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Published on: November 30, 2018

Field independence: reviewing the evidence.

Carol Evans1, John T E Richardson, Michael Waring

  • 1University of Exeter, UK. c.a.evans@exeter.ac.uk

The British Journal of Educational Psychology
|May 23, 2013
PubMed
Summary

Field independence (FI) is crucial for navigating complex learning environments, but its definition and measurement require clarification. Future research should explore the interaction between individual and contextual variables beyond viewing FI as a fixed trait.

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Area of Science:

  • Cognitive Psychology
  • Educational Psychology
  • Learning Sciences

Background:

  • Field independence (FI) is a widely cited concept in cognitive style and educational research.
  • Existing confusion surrounds the definition, measurement, and interpretation of FI, limiting its practical application in education.
  • Clarifying FI is essential for advancing our understanding of learning and instruction.

Purpose of the Study:

  • To review research evidence on field independence (FI).
  • To highlight key issues and controversies surrounding FI and field dependence (FD).
  • To propose an informed agenda for future research on FI.

Main Methods:

  • Literature review of existing research on field independence (FI).
  • Critical analysis of measurement tools and interpretation of results related to FI and FD.
  • Synthesis of evidence on the relationship between FI and other cognitive variables.

Main Results:

  • Caution is advised when interpreting evidence on FI and field dependence (FD); FD is inappropriate when only FI is measured.
  • FI is correlated with spatial ability, but whether it solely measures perceptual or spatial ability is debated.
  • FI relates to working memory and is vital for managing complex cognitive tasks, and it can be developed.

Conclusions:

  • Field independence (FI) plays a significant role in modern, information-rich learning environments.
  • Moving beyond viewing FI as a static style or trait is necessary.
  • Acknowledging and exploring the interplay between individual and contextual factors is crucial for understanding FI.