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Related Concept Videos

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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Cross-Sectional Research01:50

Cross-Sectional Research

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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...
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Sample Proportion and Population Proportion01:20

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Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...
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Group Polarization01:01

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Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
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Central Tendency: Analysis01:10

Central Tendency: Analysis

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Measures of central tendency are tools used in biostatistics to identify the average or center of a dataset. They offer a single representative value for understanding and summarizing data distribution.
The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...
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Statistical Analysis: Overview01:11

Statistical Analysis: Overview

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When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
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Decoding the cryptocurrency user: An analysis of demographics and sentiments.

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Area of Science:

  • Digital Finance
  • Consumer Behavior
  • Technology Adoption

Background:

  • Emergence of new payment methods focused on user convenience.
  • Cryptocurrencies as a novel digital asset and potential payment system.

Purpose of the Study:

  • Analyze general population attitudes towards cryptocurrency adoption for payments.
  • Investigate perceptions of cryptocurrency users and non-users.
  • Understand views on the future of the cryptocurrency market and its payment potential.

Main Methods:

  • Descriptive survey targeting diverse user groups.
  • Sentiment analysis of open-ended questionnaire responses.
  • Utilized multiple English language lexicons for qualitative data analysis.

Main Results:

  • Cryptocurrency users primarily invest, prioritizing popular coins over intrinsic features.
  • E-commerce and international transactions are the most appealing payment use cases.
  • High volatility and usability challenges are significant barriers to adoption.
  • Users increasingly demand regulatory oversight.
  • Anonymity is a valued feature despite volatility concerns.

Conclusions:

  • Cryptocurrency adoption for payments faces challenges related to user perception, volatility, and usability.
  • Growing demand for regulation and the appeal of anonymity shape user attitudes.
  • The study presents an innovative mixed-methods approach for analyzing qualitative data in digital finance research.