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Related Concept Videos

Data Collection by Survey01:07

Data Collection by Survey

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Manipulation and Analysis01:21

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Case Studies

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There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
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Steps in Outbreak Investigation01:18

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Surveys02:16

Surveys

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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.
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Convenience Sampling Method00:55

Convenience Sampling Method

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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...
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Related Experiment Video

Updated: Sep 2, 2025

Using a Virtual Store As a Research Tool to Investigate Consumer In-store Behavior
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Study on Tourism Consumer Behavior and Countermeasures Based on Big Data.

Jing Li1, Bin Cao2

  • 1Jinzhong University, Jinzhong 030619, Shanxi, China.

Computational Intelligence and Neuroscience
|August 1, 2022
PubMed
Summary
This summary is machine-generated.

This study analyzes tourism consumer behavior using big data and text analysis. Findings reveal tourist characteristics, decision-making models, preferred routes, and positive perceptions, informing targeted marketing and service improvements.

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Area of Science:

  • Tourism and Hospitality
  • Data Science
  • Consumer Behavior Analysis

Background:

  • Understanding tourism consumer behavior is crucial for developing effective strategies.
  • Big data and text analysis offer novel approaches to studying tourist decision-making.
  • Existing literature lacks a comprehensive framework integrating these elements.

Purpose of the Study:

  • To construct a research framework for tourism consumption behavior.
  • To analyze tourist characteristics, decision-making, preferences, and perceptions using big data.
  • To propose data-driven tourism development strategies.

Main Methods:

  • Literature review and framework construction.
  • Data crawling, preprocessing, and mining using NLPIR and other software.
  • Analysis techniques including word frequency, co-occurrence, content, sentiment, and network analysis.

Main Results:

  • Domestic market segmentation based on climate and geography with tailored marketing strategies.
  • "Push-pull resistance" model for tourism decision-making identified.
  • Three preferred tourist routes discovered through network analysis of scenic spots.
  • Positive tourist perceptions analyzed through cognitive and emotional dimensions.

Conclusions:

  • User-generated content (UGC) analysis provides insights into tourist behavior and preferences.
  • Findings support the development of diversified products and improved service quality.
  • Big data analysis offers a new method for monitoring tourist behavior in attractions.