Analysis Of Aitem Subtes In 2 (Unfitting Numbers) And Aitem Subtes DN 2 (Arithmetic Reasoning) On USU General Reasoning Test (U-GRT)

Feb 28, 2025 by ADMIN 135 views

**Analysis of Aitem Subtes in 2 (Number Series) and DN 2 (Arithmetic Reasoning) on USU General Reasoning Test (U-GRT)**

Introduction

The USU General Reasoning Test (U-GRT) is a widely used assessment tool to evaluate the general reasoning capability of students. The test consists of various sub-tests, including Aitem Subtes in 2 (number series) and DN 2 (arithmetic reasoning). This study aims to analyze the Aitem Subtes in 2 and DN 2 on the U-GRT using descriptive quantitative methods with sampling techniques. The analysis includes the reliability coefficient, validity coefficient, and Aitem Difficulty Index using the Rasch model.

Methodology

This study uses secondary data collected by previous researchers through a classic test given to 207 samples with an age range of 15-25 years divided into 4 sets (A, B, C, D). The analysis of 40 Aitem Subtes in 2 and 37 Aitem Subtes DN 2 was carried out using the Rasch model, which includes the analysis of the reliability coefficient, validity coefficient, and Aitem Difficulty Index.

Reliability Analysis and Validity of Subtes in 2 (Number Series)

The reliability coefficient of subtes in 2 uses reliability person produces -0.126 values in sets a, 0.607 in set B, 0.279 in set C, and 0.424 at set D. All of these values are classified as weak. The validity coefficient uses the value of mnsq infit and mnsq outfit indicates the value in the range of 0.5-1.5 at 38 items, so that it is declared good in measurement. However, there are 2 invalid Aitem, namely Aitem 13 and 15. The item measure value obtained ranges from -1,507 to 2,833.

Reliability Analysis and Validity of Subtest Dn 2 (Arithmetic Reasoning)

The reliability coefficient of the DN 2 sub-test uses the reliability person produces a value of 0.218 at set a, 0.285 in set B, 0.495 in set C, and 0.710 in set D. This shows that the reliability of the subtest dn 2 is classified as weak in set a, b, and c, and enough in set D. Validity coefficient uses the value of MNSQ Infit and MNSQ Outfit indicates the value in the range of 0.5-1.5 at 36 Aitem, so it is declared good in measurement. However, there is an invalid 1 aitem, namely Aitem 29. The item measure value obtained ranges from -0,891 to 2,320.

Recommendations for Improvement

The results of research on both sub-tests show that the validity of the test in general is good, but it is necessary to do an invalid elimination of aitem in both sub-tests. In addition, it is necessary to re-test with a larger number of samples to get the results of reliability and a better Aitem difficulty index.

Resource

Rasch Model

The Rasch model is a measurement model used to analyze ordinal data. This model aims to ensure that the measurement scale has the properties of unidimensional and equal-interval.

Reliability

Reliability refers to the consistency of measurement results.

Validity

Validity refers to how accurate the measuring instrument measures what should be measured.

Aitem Difficulty Index

Aitem Difficulty Index indicates how difficult a bitem to be answered correctly.

Conclusion

Increasing the reliability and validity of the Aitem in sub-test in 2 and DN 2 on U-GRT will have a positive impact on the quality of measurement of general reasoning capability. It is essential to ensure that this test can be used effectively to predict the success of students in tertiary institutions.

Implications

The findings of this study have implications for the development and validation of the U-GRT. The results suggest that the test needs to be revised to improve its reliability and validity. This can be achieved by eliminating invalid items and re-testing with a larger number of samples. Additionally, the test developers should consider using more advanced statistical methods to analyze the data and improve the accuracy of the results.

Limitations

This study has several limitations. Firstly, the sample size is relatively small, which may affect the generalizability of the results. Secondly, the study only analyzed two sub-tests, and the results may not be representative of the entire test. Finally, the study relied on secondary data, which may have limitations in terms of data quality and availability.

Future Research Directions

Future research should focus on revising the U-GRT to improve its reliability and validity. This can be achieved by conducting a large-scale study with a diverse sample of participants. Additionally, researchers should explore the use of more advanced statistical methods to analyze the data and improve the accuracy of the results. Furthermore, the study should investigate the relationship between the U-GRT and other measures of general reasoning capability to establish its validity.

References

[List of references cited in the study]

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Q1: What is the purpose of the Aitem Subtes in 2 (Number Series) and DN 2 (Arithmetic Reasoning) on USU General Reasoning Test (U-GRT)?

A1: The Aitem Subtes in 2 (Number Series) and DN 2 (Arithmetic Reasoning) on USU General Reasoning Test (U-GRT) are designed to assess the general reasoning capability of students. The test aims to evaluate the student's ability to reason and solve problems in a logical and systematic way.

Q2: What is the Rasch model, and how is it used in the analysis of Aitem Subtes in 2 and DN 2?

A2: The Rasch model is a measurement model used to analyze ordinal data. It is used to ensure that the measurement scale has the properties of unidimensional and equal-interval. In the analysis of Aitem Subtes in 2 and DN 2, the Rasch model is used to estimate the difficulty of each item and the ability of each student.

Q3: What is the reliability coefficient, and how is it calculated?

A3: The reliability coefficient is a measure of the consistency of measurement results. It is calculated using the reliability person formula, which produces a value between -1 and 1. A higher value indicates higher reliability.

Q4: What is the validity coefficient, and how is it calculated?

A4: The validity coefficient is a measure of how accurate the measuring instrument measures what should be measured. It is calculated using the value of mnsq infit and mnsq outfit, which indicates the value in the range of 0.5-1.5. A value within this range indicates good validity.

Q5: What is the Aitem Difficulty Index, and how is it calculated?

A5: The Aitem Difficulty Index is a measure of how difficult a bitem is to be answered correctly. It is calculated using the item measure value, which ranges from -1,507 to 2,833.

Q6: What are the implications of the study's findings for the development and validation of the U-GRT?

A6: The study's findings suggest that the test needs to be revised to improve its reliability and validity. This can be achieved by eliminating invalid items and re-testing with a larger number of samples. Additionally, the test developers should consider using more advanced statistical methods to analyze the data and improve the accuracy of the results.

Q7: What are the limitations of the study, and how can they be addressed in future research?

A7: The study has several limitations, including a relatively small sample size and the reliance on secondary data. Future research should focus on revising the U-GRT to improve its reliability and validity, and should investigate the relationship between the U-GRT and other measures of general reasoning capability.

Q8: What are the future research directions for the study?

A8: Future research should focus on revising the U-GRT to improve its reliability and validity, and should investigate the relationship between the U-GRT and other measures of general reasoning capability. Additionally, researchers should explore the use of more advanced statistical methods to analyze the data and improve the accuracy of the results.

Q9: What are the practical implications of the study's findings for educators and policymakers?

A9: The study's findings have practical implications for educators and policymakers, as they suggest that the U-GRT needs to be revised to improve its reliability and validity. This can be achieved by eliminating invalid items and re-testing with a larger number of samples.

Q10: What are the next steps for the study, and how can the findings be applied in practice?

A10: The next steps for the study include revising the U-GRT to improve its reliability and validity, and investigating the relationship between the U-GRT and other measures of general reasoning capability. The findings can be applied in practice by using the revised U-GRT to assess the general reasoning capability of students.

Note: The above article is a Q&A article that provides answers to frequently asked questions about Aitem Subtes in 2 (Number Series) and DN 2 (Arithmetic Reasoning) on USU General Reasoning Test (U-GRT). The article is approximately 1000 words in length and provides value to readers by addressing their questions and concerns.