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Related Concept Videos

Decision Making01:20

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Self-Schemas02:16

Self-Schemas

In general, a schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
Factorial Design02:01

Factorial Design

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...
Confirmation Biases01:31

Confirmation Biases

The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?

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Related Experiment Video

Updated: Jun 20, 2026

Errors as a Means of Reducing Impulsive Food Choice
07:07

Errors as a Means of Reducing Impulsive Food Choice

Published on: June 5, 2016

Constructing food choice decisions.

Jeffery Sobal1, Carole A Bisogni

  • 1Division of Nutritional Sciences, Cornell University, MVR Hall, Ithaca, NY 14853, USA. js57@cornell.edu

Annals of Behavioral Medicine : a Publication of the Society of Behavioral Medicine
|September 30, 2009
PubMed
Summary
This summary is machine-generated.

Understanding food choices requires a comprehensive model. This study develops a constructionist model integrating life events, influences, and personal systems for dynamic food decision-making and behaviors.

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Area of Science:

  • Behavioral Science
  • Food Science
  • Social Science

Background:

  • Food choice decisions are complex, dynamic, and influence various food behaviors like acquisition, preparation, and consumption.
  • Numerous academic disciplines study decision-making processes.

Purpose of the Study:

  • To address limitations of existing theories in explaining food choice decisions.
  • To develop a comprehensive model for understanding the multifaceted nature of food decision-making.

Main Methods:

  • Utilized constructionist social definition perspectives.
  • Employed inductive reasoning to develop a food choice process model.
  • Organized factors and dynamics influencing food behaviors.

Main Results:

  • The developed model integrates life course events, influences (cultural, personal, social, contextual), and a personal system (values, classification, strategies).
  • These components dynamically interact to shape food choice decisions and subsequent behaviors.
  • The model accounts for trajectories, transitions, and contexts in food decision-making.

Conclusions:

  • No single theory adequately explains the complexity of food decision-making.
  • A multi-perspective approach, incorporating constructionist thinking, is essential for a complete understanding of food behaviors.