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Data cleansing is the process of identifying, correcting or removing errors, inconsistencies, and inaccuracies from data to improve the data quality. Data cleansing is...
When randomly drawing samples from different population subgroups, you may use stratified sampling. Most people working on political surveys or human research use this...
Variables are characteristics in research that can take on various values, like age and test scores. There are two types of variables in research,...
A confounding (a.k.a. spurious) variable is any unacknowledged yet influential (i.e. extraneous) variable in a formal experiment, observation, or study. Left unexamined, rogue confounding variables...
Determining your respondents’ actual attitudes when conducting your research is essential to improving the accuracy of your findings. By the end of this article,...
A significant part of the research process is investigating causal relationships between specific variables. You can do this through experiments or observations. Therefore, it...
When testing the cause-and-effect relationship, validity is divided into two categories: internal vs. external validity.1 Internal vs. External Validity – In a Nutshell The following can...
One of the core elements in statistical studies is the type of variables in research you select. Choosing the best types of variables in...
Ethical considerations are a fundamental component of research. Failure to follow a specified code of conduct when conducting research can invalidate your findings and...
In scientific research, you will often encounter random vs. systematic errors. Random vs. systematic errors are known as measurement errors, which make the difference...
Textual communication is the method used by researchers to analyze and interpret texts by studying their style, content, structure, purpose, and underlying meaning. Besides...
In statistics, mediators and moderators help you understand the relationship between two variables. This article discusses the differences between mediator vs. moderator1, frequently asked...
As a student, triangulation in research is a method that holistically increases the validity and credibility of your study. This article discusses what triangulation...
The conceptual framework aims to make research conclusions more meaningful and generalizable. It outlines the purpose and the importance of the research topic. Conceptual Framework...
Explanatory research is undertaken on a previously under-researched issue to establish priorities, create operational definitions, and yield a more thoroughly investigated model. Explanatory Research –...
Discourse analysis is a series of methodologies that aim to uncover the meaning of written or spoken language. These methodologies are usually taught as...
Good research skills are a must for students, so you need to be familiar with the different types of research you can use. This...
Correlational research is the study of relationships and is used to measure both strength and direction. Learn about correlational research and how to use...
Completing a research or thesis paper is more work than most students imagine. For instance, you must conduct experiments before coming up with conclusions....
Data is any information collected from text or numbers to help conclude.1 It's a powerful tool for personal and professional use, as it helps...
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