## Nominal, Ordinal, Interval and Ratio Data

Depending on the measurements, there are four different types of data that can be achieved. These different types of data are nominal, ordinal, interval and ratio data. These different variances … Read more

**The research methodology is a discipline that is involved in studies related to a variety of research techniques like case studies, surveys, and provides an overview of how to perform particular research.**

- It also provides fundamental knowledge required to make rational decisions about research strategies.
- The discipline also explores ethical constraints, codes of ethics, and requirements for gaining an ethical approach.
- Advancements made in research methodology have allowed the understanding of the relationship between research questions, methods of collecting and analyzing both, quantitative and qualitative data.
- With the increasing desire of publishing research articles containing the results and discussion of detailed research, the use and importance of research methodology and its strategies have also increased.
- The research methodology consists of topics like methods of collecting and analyzing data, making conclusions, calculating errors, formulating, and proving a hypothesis, all of which are essential while conducting research.
- The discipline further guides researchers while developing research questions, writing proposals, reviews, and while conducting a literature review.
- Different statistical tools that are imperative to analyze data obtained via research are also included, connecting statistical science and biological science.
- The incorporation of statistical science in research methodology is useful in confirming or contradicting conclusions drawn from merely looking at analyzed data, in providing an indication of the magnitude of the relationship between two or more variables under study, in helping to establish causality, and in ascertaining the level of confidence that can be placed in the findings.
- The research methodology is useful in all academic disciplines to conduct research and publish data and conclusions drawn from such researches.
- Detailed knowledge of research methodology is essential for conducting a valid study and to come up with reasonable and usable data results.
- The discipline provides methods, models, techniques, and procedures for both quantitative and qualitative studies so that the researcher can select the most appropriate ones when undertaking research.

Depending on the measurements, there are four different types of data that can be achieved. These different types of data are nominal, ordinal, interval and ratio data. These different variances … Read more

There are two major approaches to gathering information about a situation, person, problem or phenomenon. When you undertake a research study, in most situations, you need to collect the required … Read more

Quantitative and Qualitative Data Definition Qualitative data is data concerned with descriptions, which can be observed but cannot be computed. On the contrary, quantitative data is the one that focuses on numbers … Read more

Independent Variables The Independent variable is a type of variable used in experimental sciences, statistical modeling, and mathematical modeling which doesn’t depend on any other variables in the scope of … Read more

Any trend in the collection, analysis, interpretation, publication, or review of data that can lead to conclusions that are systematically different from the truth can be termed as bias. Bias … Read more

z-test definition z-test is a statistical tool used for the comparison or determination of the significance of several statistical measures, particularly the mean in a sample from a normally distributed … Read more

ANOVA Definition ANOVA (Analysis of Variance) is a statistical tool to test the homogeneity of different groups based on their differences. ANOVA is the method of analyzing the variance in … Read more

Image Source: AB Tasty. Type 1 error definition Type 1 error, in statistical hypothesis testing, is the error caused by rejecting a null hypothesis when it is true. Type 1 … Read more