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Interpreting t-Test Results: A Practical Comparison of Manual Computation and SPSS Output for Researchers
Subject area: Physical Sciences and Environment · Area of research: t-Test Analysis & Statistical Methods
Abstract
Accurate interpretation of statistical results is essential for credible research, particularly when employing inferential tools like the t-test to compare group means. Despite the increasing use of statistical software such as SPSS, many researchers and supervisors struggle to fully understand how these results are generated and what they imply. This seminar paper, titled "Interpreting t-Test Results: A Practical Comparison of Manual Computation and SPSS Output for Researchers", provides a detailed comparison between manual t-test computation and SPSS-generated results. It explores the underlying statistical concepts, outlines step-by-step procedures for both methods, and demonstrates how to apply decision rules using critical values and p-values. By highlighting the similarities and differences in output interpretation, this paper aims to improve the statistical literacy of researchers and enhance their ability to critically evaluate SPSS outputs. Practical examples and recommendations are provided to support better research practices and supervision.
Keywords
T-test, Manual Computation, SPSS Output.
References
[1] Akpan, E. E., & Clark, J. L. (2023). Independent t-test statistics: Its relevance in educational research. GASPRO International Journal of Eminent Scholars, 10(1). Retrieved from https://globalacademicstar.com/article/independent-t-test-statistics-it-s-relevance-in-educational-researchGlobal Academic Star
[2] Bluman, A. G. (2018). Elementary Statistics: A Step by Step Approach (10th ed.). McGraw-Hill Education.
[3] Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
[4] Field, A. (2018). Discovering statistics using IBM SPSS Statistics (5th ed.). SAGE Publications.
[5] Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2019). How to design and evaluate research in education (10th ed.). McGraw-Hill Education.
[6] Gravetter, F. J., & Wallnau, L. B. (2017). Statistics for the Behavioral Sciences (10th ed.). Cengage Learning.
[7] Pallant, J. (2020). SPSS Survival Manual: A Step-by-Step Guide to Data Analysis Using IBM SPSS (7th ed.). Open University Press.
[8] Ruth, M. (2024). Student's t-test. EBSCO Research Starters. Retrieved from https://www.ebsco.com/research-starters/social-sciences-and-humanities/students-t-tes
How to cite this paper
@article{1716922,
author = {Naziru Aminu, Ishaku Akissani},
title = {Interpreting t-Test Results: A Practical Comparison of Manual Computation and SPSS Output for Researchers},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {3169-3175},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1716922.pdf},
abstract = {Accurate interpretation of statistical results is essential for credible research, particularly when employing inferential tools like the t-test to compare group means. Despite the increasing use of statistical software such as SPSS, many researchers and supervisors struggle to fully understand how these results are generated and what they imply. This seminar paper, titled "Interpreting t-Test Results: A Practical Comparison of Manual Computation and SPSS Output for Researchers", provides a detailed comparison between manual t-test computation and SPSS-generated results. It explores the underlying statistical concepts, outlines step-by-step procedures for both methods, and demonstrates how to apply decision rules using critical values and p-values. By highlighting the similarities and differences in output interpretation, this paper aims to improve the statistical literacy of researchers and enhance their ability to critically evaluate SPSS outputs. Practical examples and recommendations are provided to support better research practices and supervision.},
keywords = {T-test, Manual Computation, SPSS Output.},
month = {April},
}