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Jan 7, 2015 · Abstract. Statistical hypothesis testing is common in research, but a conventional understanding sometimes leads to mistaken application and misinterpretation. The logic of hypothesis testing presented in this article provides for a clearer understanding, application, and interpretation.
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This article has outlined the principles for selecting a statistical test, along with a list of tests used commonly. Researchers should seek help from statisticians while writing the research study protocol, to formulate the plan for statistical analysis.
- Priya Ranganathan
- 2021
Aug 27, 2021 · Postgraduate medical students are often not able to select and interpret the findings of statistical tests during their thesis or research projects. To go ahead with selection of tests to be performed, researchers need to determine the objectives of study, types of variables, analysis and the study design, number of groups and data sets, and ...
- Ahmad Najmi, Balakrishnan Sadasivam, Avik Ray
- 2021
- Test-Retest Reliability
- Interrater Reliability
- Parallel Forms Reliability
- Internal Consistency
- Which Type of Reliability Applies to My Research?
- Other Interesting Articles
Test-retest reliability measures the consistency of results when you repeat the same test on the same sample at a different point in time. You use it when you are measuring something that you expect to stay constant in your sample.
Interrater reliability (also called interobserver reliability) measures the degree of agreement between different people observing or assessing the same thing. You use it when data is collected by researchers assigning ratings, scores or categories to one or more variables, and it can help mitigate observer bias.
Parallel forms reliability measures the correlation between two equivalent versions of a test. You use it when you have two different assessment tools or sets of questions designed to measure the same thing.
Internal consistency assesses the correlationbetween multiple items in a test that are intended to measure the same construct. You can calculate internal consistency without repeating the test or involving other researchers, so it’s a good way of assessing reliability when you only have one data set.
It’s important to consider reliability when planning yourresearch design, collecting and analyzing your data, and writing up your research. The type of reliability you should calculate depends on the type of research and your methodology. If possible and relevant, you should statistically calculate reliability and state this alongside your results.
If you want to know more about statistics, methodology, or research bias, make sure to check out some of our other articles with explanations and examples.
Nov 8, 2019 · It is most often used by scientists to test specific predictions, called hypotheses, that arise from theories. There are 5 main steps in hypothesis testing: State your research hypothesis as a null hypothesis and alternate hypothesis (H o ) and (H a or H 1 ).
- Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific pr...
- A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been t...
- Null and alternative hypotheses are used in statistical hypothesis testing . The null hypothesis of a test always predicts no effect or no relation...
HYPOTHESIS TESTING. A clinical trial begins with an assumption or belief, and then proceeds to either prove or disprove this assumption. In statistical terms, this belief or assumption is known as a hypothesis.
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What is hypothesis testing?
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What is a student's overall profile in Lass 11-15?
Where can I find information about Lass 11-15?
This document is a basic introduction to the interpretation of LASS 11-15 reports. Complete information is included on the LASS 11-15 support page and we highly recommend reading the case studies section.
