Related Experiment Video

Updated: Aug 19, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

Aboriginal socio-economic characteristics: issues affecting the interpretation of statistics

E Young

    Journal of the Australian Population Association
    |May 1, 1985
    PubMed

    Keywords:
    AustraliaComparative StudiesCultural BackgroundDemographic FactorsDeveloped CountriesDeveloping CountriesEconomic FactorsEmployment StatusError SourcesEthnic GroupsHuman ResourcesIncomeIndigenous PopulationLabor ForceMeasurementOccupationsOceaniaPopulationPopulation CharacteristicsPopulation StatisticsReliabilityResearch MethodologySocioeconomic FactorsSocioeconomic Status

    More Related Videos

    Cortisol Measurement in Koala (Phascolarctos cinereus) Fur09:11

    Cortisol Measurement in Koala (Phascolarctos cinereus) Fur

    Published on: August 23, 2019

    Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil06:48

    Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil

    Published on: July 29, 2020

    Related Concept Videos

    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.
    Statistical Significance01:37

    Statistical Significance

    Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
    Skewness01:06

    Skewness

    The measures of central tendency calculated from a data set may not reveal much about its intrinsic distribution. If a plot is made of the data set’s values, the mean and the median may not only differ, but also the plot may have more values on one side of the central tendencies. Such a data set is said to be skewed towards that side.
    The longer the tail of the plot on one side, the more skewed it is. The skewness of a data set’s values suggests that the measures of central tendency are...
    Outliers and Influential Points01:08

    Outliers and Influential Points

    An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the vertical...
    Statistical Analysis: Overview01:11

    Statistical Analysis: Overview

    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...
    Statistical Methods to Analyze Parametric Data: ANOVA01:12

    Statistical Methods to Analyze Parametric Data: ANOVA

    Analysis of Variance, or ANOVA, is a powerful statistical technique used to analyze parametric data, primarily in research and experimental studies. It's designed to compare the means of two or more groups, assisting researchers in identifying any significant differences between these group means. There are two main types of ANOVA based on the complexity of the analysis: one-way and two-way.
    One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares the...