The goal developing a new research tool is to ensure that the measurement tool has a high level of external validity to be generalizable and have a broader reach and also is highly reliable and able to consistently gather the same result. Researchers need to determine the validity and reliability of each assessment to ensure that they are not misleading their readers and the data can be trusted based on statistical evidence to support their conclusions. Reliability is the ability of consistency of the results over multiple tests. This process can be calculated by determining various measurements such as test-retest reliability, parallel-form reliability, split-half reliability by calculating a correlation coefficient or a t-test. Validity is the extent in which a test will measure what is said to test, which can be established by looking and measuring face validity, content validity, criterion-related validity, and construct validity. Validity can be established by using various experts to determine if a test is clear and relevant using a tool such as content validity index. If statistically reliability and validity is established, the research will increase the impact on the research and generalizability can be established.
| Published in | Psychology and Behavioral Sciences (Volume 13, Issue 6) |
| DOI | 10.11648/j.pbs.20241306.11 |
| Page(s) | 137-141 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Reliability, Validity, Correlation Coefficient, Test-Retest Reliability, Content Validity Construct Validity, Content Validity Index
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APA Style
Karnia, R. (2024). Importance of Reliability and Validity in Research. Psychology and Behavioral Sciences, 13(6), 137-141. https://doi.org/10.11648/j.pbs.20241306.11
ACS Style
Karnia, R. Importance of Reliability and Validity in Research. Psychol. Behav. Sci. 2024, 13(6), 137-141. doi: 10.11648/j.pbs.20241306.11
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Download@article{10.11648/j.pbs.20241306.11,
author = {Richard Karnia},
title = {Importance of Reliability and Validity in Research
},
journal = {Psychology and Behavioral Sciences},
volume = {13},
number = {6},
pages = {137-141},
doi = {10.11648/j.pbs.20241306.11},
url = {https://doi.org/10.11648/j.pbs.20241306.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pbs.20241306.11},
abstract = {The goal developing a new research tool is to ensure that the measurement tool has a high level of external validity to be generalizable and have a broader reach and also is highly reliable and able to consistently gather the same result. Researchers need to determine the validity and reliability of each assessment to ensure that they are not misleading their readers and the data can be trusted based on statistical evidence to support their conclusions. Reliability is the ability of consistency of the results over multiple tests. This process can be calculated by determining various measurements such as test-retest reliability, parallel-form reliability, split-half reliability by calculating a correlation coefficient or a t-test. Validity is the extent in which a test will measure what is said to test, which can be established by looking and measuring face validity, content validity, criterion-related validity, and construct validity. Validity can be established by using various experts to determine if a test is clear and relevant using a tool such as content validity index. If statistically reliability and validity is established, the research will increase the impact on the research and generalizability can be established.},
year = {2024}
}
TY - JOUR T1 - Importance of Reliability and Validity in Research AU - Richard Karnia Y1 - 2024/11/12 PY - 2024 N1 - https://doi.org/10.11648/j.pbs.20241306.11 DO - 10.11648/j.pbs.20241306.11 T2 - Psychology and Behavioral Sciences JF - Psychology and Behavioral Sciences JO - Psychology and Behavioral Sciences SP - 137 EP - 141 PB - Science Publishing Group SN - 2328-7845 UR - https://doi.org/10.11648/j.pbs.20241306.11 AB - The goal developing a new research tool is to ensure that the measurement tool has a high level of external validity to be generalizable and have a broader reach and also is highly reliable and able to consistently gather the same result. Researchers need to determine the validity and reliability of each assessment to ensure that they are not misleading their readers and the data can be trusted based on statistical evidence to support their conclusions. Reliability is the ability of consistency of the results over multiple tests. This process can be calculated by determining various measurements such as test-retest reliability, parallel-form reliability, split-half reliability by calculating a correlation coefficient or a t-test. Validity is the extent in which a test will measure what is said to test, which can be established by looking and measuring face validity, content validity, criterion-related validity, and construct validity. Validity can be established by using various experts to determine if a test is clear and relevant using a tool such as content validity index. If statistically reliability and validity is established, the research will increase the impact on the research and generalizability can be established. VL - 13 IS - 6 ER -
Department of Psychology, Elgin Community College, Elgin, United States
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