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Exploratory research is a technique that investigates research questions that have not been previously studied extensively. Therefore, it is often qualitative and uses primary...
Within-subjects design can be useful in experimental research, especially when there is a limited sample size or individual differences between participants must be controlled. Within-Subjects...
The goal of most experiments is to determine how an independent variable affects a subject by applying different treatments in varying conditions. A between-subjects...
Multistage sampling, sometimes known as multistage cluster sampling, applies where you draw a sample from a large population using smaller and smaller units at...
Population and sample are common terms used in research. Many students mistake these words for synonyms. However, there is a significant difference between a...
Bias is one of the greatest barriers to effective research, so double-blind study designs have become a core part of gold-standard trials. This design blinds...
Construct validity determines how well a test measures the notion it was planned to evaluate. It is a crucial element in academic research as...
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...
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