Descriptive statistics used in research
What are the statistical tests used in descriptive research?
There are three major types of descriptive statistics: Measures of frequency (frequency, percent), measures of central tendency (mean, median and mode), and measures of dispersion or variation (variance, SD, standard error, quartile, interquartile range, percentile, range, and coefficient of variation [CV]) provide .
Why is descriptive statistics used in research?
Descriptive statistics serve as a starting point for data analysis, allowing researchers to describe, organize, and summarize data in a meaningful way.
Measures of central tendency, including the mean, median, and mode, provide researchers with information on the center of the data set..
- Descriptive studies can be of several types, namely, case reports, case series, cross-sectional studies, and ecological studies.
In the first three of these, data are collected on individuals, whereas the last one uses aggregated data for groups.
Descriptive statistic data provide simple summaries about the sample and the measures utilized within quantitative methodologies. Descriptive statistics are especially helpful in simplifying large amounts of data and can be a component of quantitative, qualitative, and mixed methods research.The mean, the mode, the median, the range, and the standard deviation are all examples of descriptive statistics. Descriptive statistics are used because in most cases, it isn't possible to present all of your data in any form that your reader will be able to quickly interpret.This type of statistics is used to simplify and present data in a manner that is easy to understand, often through visual or numerical methods. Descriptive statistics is primarily concerned with measures of central tendency, variability, and distribution, as well as graphical representations of data.Descriptive statistics involves averages, frequencies, and percentages for categorical data, and standard deviations for continuous data. The statistical measures used in descriptive statistics are the measures of central tendency, measures of spread, and measures of skewness.By employing descriptive statistics, researchers can effectively summarize and communicate the key characteristics of a dataset, facilitating a better understanding of the data and providing a foundation for further statistical analysis or decision-making processes.
