One-sample location test based on the sign and Wilcoxon signed-rank tests

Kitani, Masato; Murakami, Hidetoshi

doi:10.1080/00949655.2021.1968399

Cited by 10 publications

(5 citation statements)

References 20 publications

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“…Additionally, the Wilcoxon test enables us to determine whether there is an increase in scores from the pretest to the post-test (Saplıoğlu & Güçlü, 2022). It is worth noting that the Wilcoxon test is commonly employed for testing location parameters, making it well-suited for our evaluation (Kitani & Murakami, 2022). The results of the Wilcoxon test are presented in Table 1, providing a comprehensive overview of the statistical analysis conducted on the pretest and posttest data.…”

Section: Figure 6 the Results Of Pretestmentioning

confidence: 99%

Introduction Internet of Things Design for Students in SMKs Darul Ulum Layoa Bantaeng

Rasyid,

Rizal,

Musu

2023

ETHOS : Jurnal Penelitian dan Pengabdian kepada Masyarakat

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Abstract. IoT (Internet of Things) technology is currently experiencing very rapid development. Several innovative and creative applications, most IoT-based, have been found. IoT underlies the existence of smart home technology. One of the advantages of smart home technology is that homeowners can control conditions and monitor home security using only one device. Unfortunately, at SMKs Darul Ulum Layoa, Bantaeng, Sulawesi Selatan (South Sulawesi), learning about IoT still needs to be improved. It becomes the basis for why we hold a community service activity. This activity provided understanding and training on the Internet of Things, which 40 teachers and students attended. Pretest and posttest methods are used to determine the activity's success level. Both results were processed using the SPSS (Statistical Package for the Social Sciences) method. SPSS is a statistical software used to perform data analysis, including descriptive and inferential analysis. By utilizing the Wilcoxon Signed Rank Test, an analysis of the data revealed a Z value of -5.026 and a p-value of 0.000. These findings indicate a significant difference between the pretest and posttest groups or a significant increase in scores between the pretest and posttest. Therefore, the intervention had a positive effect on the outcome being measured.

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Section: Figure 6 the Results Of Pretestmentioning

confidence: 99%

Introduction Internet of Things Design for Students in SMKs Darul Ulum Layoa Bantaeng

Rasyid,

Rizal,

Musu

2023

ETHOS : Jurnal Penelitian dan Pengabdian kepada Masyarakat

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“…In fact, Amrhein (1995) showed that the two‐sided Wilcoxon signed‐rank test is biased by giving a counter‐example. Recently, Kitani and Murakami (2022) investigated whether the test proposed by Policello and Hettmansperger (1976), which contains both the Wilcoxon signed rank test and the sign test, is unbiased. In the literature, by choosing the appropriate tuning parameter in terms of bias correction, the test of Policello and Hettmansperger (1976) can be an unbiased test for the two‐sided alternative of the counter‐example of Amrhein (1995).…”

Section: Further Discussionmentioning

confidence: 99%

“…In addition, we found that the WMW test is not unbiased against the shifted location parameter given by the counter-examples. Furthermore, we reviewed the studies on the unbiasedness of tests in various other nonparametric research fields, including permutation tests (Pesarin & De Martini, 2002;Pesarin & Salmaso, 2010), counter-example studies of one-sample location test (Amrhein, 1995;Kitani & Murakami, 2022), the goodness of fit test (Frey, 2009;Hanyuda & Murakami, 2021;Massey, 1950;Thompson, 1966), scale test (Lee et al, 2005), multivariate test (Jurečkov a & Kalina, 2012). In future research, we recommend developing the bias correction methods for biased test statistics, such as the WMW location test and other nonparametric tests like the goodness of fit test, scale test, and multivariate test.…”

Section: Discussionmentioning

confidence: 99%

On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests

Murakami

Lee

2022

WIREs Computational Stats

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In several fields of applications, the underlying theoretical distribution is unknown and cannot be assumed to have a specific parametric distribution such as a normal distribution. Nonparametric statistical methods are preferable in these cases. Nonparametric testing hypotheses have been one of the primarily used statistical procedures for nearly a century, and the power of the test is an important property in nonparametric testing procedures. This review discusses the unbiasedness of nonparametric tests. In nonparametric hypothesis, the best-known Wilcoxon-Mann-Whitney (WMW) test has both robustness and power performance. Therefore, the WMW test is widely used to determine the location parameter. In this review, the unbiasedness and biasedness of the WMW test for the location parameter family of the distribution is mainly investigated. An overview of historical developments, detailed discussions, and works on the unbiasedness/biasedness of several nonparametric tests are presented with references to numerous studies. Finally, we conclude this review with a discussion on the unbiasedness/biasedness of nonparametric test procedures. This article is categorized under: Statistical and Graphical Methods of Data Analysis > Nonparametric Methods. This article is categorized under: Statistical and Graphical Methods of Data Analysis > Nonparametric Methods K E Y W O R D S one-sample problem, power function, two-sample problem, Wilcoxon-Mann-Whitney test

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“…In main learning activities, colleagues who act as observers help observe students' skills using previously developed instruments. Skill data in the two cycles were analyzed using the Wilcoxon Signed Rank Test [26], stacking analysis, and racking [27], [28]. The Wilcoxon Signed Rank Test was used to see whether there was a significant difference between students' skills in cycles one and two.…”

Section: Methodsmentioning

confidence: 99%

Improving high school students' research skills through light diffraction experiments using the problem-based learning model

Muthaharoh,

Sukarelawan

2023

J. ris. kaji. pendidik. fis.

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This research aims to improve students' research skills through light diffraction experiments using the problem-based learning model. This research is included in the type of classroom action research. The research took place in two cycles. The respondents were 33 class XII Science students from SMAN 1 Tanjung. Students' research skills are reviewed in three aspects: skills in using tools, compiling reports, and presenting results. The rating scale used is a 4-point Likert rating scale. Research skills were analyzed using the Wilcoxon Signed Rank Test, stacking analysis, and racking. The results of the analysis show that there is a significant difference between students' research skills in cycles 1 and 2. After learning in cycle 2, it was identified that students to gain research skills in the low category. Of the three aspects of research skills studied, the skill of presenting results experienced the highest increase compared to the other two aspects. So, applying PBL learning through two-cycle PTK research has improved the research skills of class XII Science students at SMAN 1 Tanjung.

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One-sample location test based on the sign and Wilcoxon signed-rank tests

Cited by 10 publications

References 20 publications

Introduction Internet of Things Design for Students in SMKs Darul Ulum Layoa Bantaeng

Introduction Internet of Things Design for Students in SMKs Darul Ulum Layoa Bantaeng

On unbiasedness and biasedness of the Wilcoxon and some nonparametric tests

Improving high school students' research skills through light diffraction experiments using the problem-based learning model

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