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Related Concept Videos

Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
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...
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
Predicting Products: SN1 vs. SN202:27

Predicting Products: SN1 vs. SN2

Nucleophilic substitution reactions of alkyl halides can proceed via an SN1 or an SN2 mechanism. While in SN2 reactions, the nucleophile attacks the substrate simultaneously as the leaving group departs, in SN1 reactions, the substrate first dissociates to give the carbocation intermediate. Various factors such as the structure of the substrate, the strength of the nucleophile, and the nature of the solvent promote one mechanism over the other.
With increased substitution on the alkyl halide,...
Surveys02:16

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
Behaviorism01:28

Behaviorism

The field of behaviorism was pioneered by figures such as Ivan Pavlov, John B. Watson, and B.F. Skinner fundamentally shifted the focus of psychology to the observable and controllable aspects of human and animal behavior. This shift marked a critical evolution in the discipline, emphasizing scientific rigor and experimental methodology.
The core premise of behaviorism is its focus on observable behavior rather than internal thoughts or feelings. This approach argues that true scientific...

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Updated: Jun 8, 2026

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior
09:17

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior

Published on: July 24, 2017

Predicting consumer behavior with Web search.

Sharad Goel1, Jake M Hofman, Sébastien Lahaie

  • 1Microeconomics and Social Systems, Yahoo! Research, 111 West 40th Street, New York, NY 10018, USA. goel@yahoo-inc.com

Proceedings of the National Academy of Sciences of the United States of America
|September 30, 2010
PubMed
Summary
This summary is machine-generated.

Online search trends can predict future consumer behavior, forecasting box-office revenue, video game sales, and song charts. Search data enhances predictive models, offering valuable insights into the near future.

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Area of Science:

  • Computational social science
  • Predictive analytics

Background:

  • Web search volume accurately tracks current events in near real time.
  • Previous research established search data's utility for present-day monitoring.

Purpose of the Study:

  • To investigate if online search query volume can predict future consumer behavior.
  • To assess the predictive power of search data for entertainment and sales metrics.

Main Methods:

  • Utilized search query volume data.
  • Developed forecasting models for box-office revenue, video game sales, and music chart performance.
  • Compared search-enhanced models against baseline models.

Main Results:

  • Search query volume significantly predicts opening weekend box-office revenue, first-month video game sales, and Billboard Hot 100 song ranks.
  • Search data demonstrably improves the performance of existing predictive models.
  • The utility of search data for flu trend prediction was found to be modest compared to autoregressive models.

Conclusions:

  • Online search trends offer a valuable tool for forecasting near-future consumer behavior and market outcomes.
  • Search data can augment traditional data sources, providing incremental predictive power.
  • The predictive utility of search data varies by application, offering substantial benefits in some domains.