Applying Major Parametric Tests Using SPSS in Research

Authors

  • Lok Raj Sharma Makawanpur Multiple Campus, Hetauda, Nepal
  • Sonelal Jha Makawanpur Multiple Campus, Hetauda, Nepal

DOI:

https://doi.org/10.3126/irjmmc.v4i2.56017

Keywords:

Analysis of covariance, analysis of variance, parametric tests, t-tests

Abstract

This article provides a comprehensive overview of the most commonly used parametric tests, such as one sample t-test, dependent samples t-test, independent samples t-test, analysis of variance, and analysis of covariance. A parametric test is a statistical test that assumes the data being analyzed follows a certain probability distribution, typically a normal distribution. A statistical test is a procedure used in statistical analysis to make inferences about a population based on a sample of data. It covers the basics of statistical analysis, including the assumptions of parametric tests and how to check for these assumptions. It includes the access to use SPSS (Statistical Package for the Social Sciences) software to perform the tests, with detailed demonstration of outcomes and the ways of reporting them briefly. It is prepared on the basis of the secondary qualitative data garnered from journal articles, books, and web site materials. It is a valuable resource for researchers, students, and professionals who want to improve their statistical analysis skills and gain proficiency in executing analyses by using SPSS in their research in the social sciences, psychology, and other related fields.

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Author Biographies

Lok Raj Sharma, Makawanpur Multiple Campus, Hetauda, Nepal

Associate Professor of English

Sonelal Jha, Makawanpur Multiple Campus, Hetauda, Nepal

Lecturer of Mathematics

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Published

2023-06-27

How to Cite

Sharma, L. R., & Jha, S. (2023). Applying Major Parametric Tests Using SPSS in Research. International Research Journal of MMC, 4(2), 85–97. https://doi.org/10.3126/irjmmc.v4i2.56017

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Section

Articles