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Related Concept Videos

Inductive Reasoning00:59

Inductive Reasoning

Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
Deductive Reasoning01:16

Deductive Reasoning

Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction from inductive reasoning. It uses a general principle or law to predict specific results. From these general principles, a scientist can predict specific results that remain valid as long as the general principles are correct.For example, a researcher can make specific predictions from the hypothesis "butterflies are attracted...
Sampling Plans01:23

Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Convenience Sampling Method00:55

Convenience Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Group Design02:01

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...
Sampling Methods: Overview01:06

Sampling Methods: Overview

A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of sampling...

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Related Experiment Video

Updated: Jun 22, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

Sample selection and inductive generalization.

Chris A Lawson1, Charles W Kalish

  • 1Department of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA. clawson@andrew.cmu.edu

Memory & Cognition
|June 3, 2009
PubMed
Summary
This summary is machine-generated.

The sampling method significantly impacts inductive generalization in adults. Predicate sampling led to narrow generalizations, while subject sampling resulted in broader projections, supporting an evidence-based view of induction.

Related Experiment Videos

Last Updated: Jun 22, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

Area of Science:

  • Cognitive Psychology
  • Decision Making
  • Inductive Reasoning

Background:

  • Inductive generalization is a fundamental cognitive process.
  • Understanding how sampling procedures influence generalization is crucial for cognitive models.
  • Previous research has explored factors affecting generalization, but the impact of sampling procedure requires further investigation.

Purpose of the Study:

  • To investigate the influence of sampling procedure on inductive generalization in adults.
  • To compare the effects of predicate sampling versus subject sampling on generalization patterns.
  • To examine how evidence description (e.g., random sampling) affects generalization confidence.

Main Methods:

  • Two experiments were conducted with 126 adult participants.
  • Participants engaged in predicate sampling (learning category identity from known properties) and subject sampling (discovering properties of selected individuals).
  • Generalization rates and confidence levels were measured under different sampling conditions, including randomly sampled evidence.

Main Results:

  • Sampling procedure significantly influenced inductive generalization.
  • Predicate sampling led to narrow generalizations, while subject sampling resulted in broader projections.
  • Randomly sampled evidence conditions decreased projections, aligning with similarity-based models.

Conclusions:

  • The findings support an evidence-based view of induction, emphasizing the role of sampling procedures.
  • Differences in generalization and confidence highlight the importance of how information is acquired.
  • Cognitive models of induction should account for the impact of sampling methodology.