Power study of anova versus Kruskal-Wallis test

Hecke, Tanja Van

doi:10.1080/09720510.2012.10701623

Cited by 171 publications

(103 citation statements)

References 8 publications

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“…Mean, median, and quartile of total household income and all non‐housing wealth were estimated for all age cohorts and compared over time. Chi‐Square test, ANOVA test, and Kruskal–Wallis test were used to evaluate whether differences among age cohorts were statistically significant at the a = 0.05 level [Van Hecke, ]. Four multivariable linear‐regression models were used to assess cohort differences in P62 and P65 separately while adjusting for covariates.…”

Section: Methodsmentioning

confidence: 99%

Baby boomers in the United States: Factors associated with working longer and delaying retirement

Dong

Wang

Sokas

2017

American J Industrial Med

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Section: Methodsmentioning

confidence: 99%

Baby boomers in the United States: Factors associated with working longer and delaying retirement

Dong

Wang

Sokas

2017

American J Industrial Med

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“…Group results during gestation and lactation, as well as mass, somatic growth and ventilation of the offspring (during lactation) were compared using the unpaired Student t ‐test or the Mann ‐ Whitney test (according to the normality presented by the data). For comparisons of the biochemical and ventilation data (after weaning) and organs weight, One‐Way ANOVA was used, this was followed, when necessary, by the Bonferroni posttest or the Kruskal‐Wallis test , and this was followed, when necessary, by Dunn's posttest (according to the normality presented by the data). Data were analyzed by the statistical program GraphPad Prism (GraphPad Software Corporation, version 5.0, 2007) and R (version 3.3.2, using base and PMCMR packages) .…”

Section: Methodsmentioning

confidence: 99%

Consumption of a high‐fat diet does not potentiate the deleterious effects on lipid and protein levels and body development in rats subjected to maternal protein restriction

Barbosa

Mello

Nogueira

et al. 2019

Clin Exp Pharma Physio

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Maternal undernutrition may cause injuries in several organs of the offspring, as well as lead to diseases in adulthood. Obesity and/or the consumption of a high-fat diet may also induce metabolic and cardiorespiratory diseases. We hypothesized that the consumption of a post-weaning high-fat diet would potentiate the deleterious effects of maternal protein undernutrition. This study evaluated the effects of the association of a low-protein diet during gestation and lactation with a post-weaning high-fat diet on the biochemical and ventilatory parameters of rats. Male Wistar rats from mothers who received a low-protein (9% of protein) or normoprotein diet during pregnancy and lactation received a high-fat (32% of total kilocalories from lipids) or a normal fat diet after weaning. Mass gain and somatic growth of the offspring were monitored. Also examined were biochemical chemical parameters and respiratory frequency, tidal volume (volume of air displaced in each normal respiratory cycle when extra effort is not applied), and pulmonary ventilation. Offspring from undernourished mothers presented lower birth weight (P = .0225), which remained until the end of lactation (P < .01). The rats that consumed high-fat diet and had been submitted to maternal undernutrition presented higher tidal volume when compared to the ones that consumed control diet at the 21st day of life (P ˂ .05). At 30 and 90 days, no further ventilatory changes were observed. Our data show that the consumption of a high-fat diet post-weaning did not seem to potentiate the changes induced by maternal undernutrition. K E Y W O R D Sbiochemical parameters, body patterning, high-fat diet, maternal diet, protein undernutrition, ventilatory parameters | 413 BARBOSA et Al.

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“…In situations where the data set is too small consisting of nonnumeric data, and the distribution does not appear to be normally distributed, the Kruskal-Wallis test is a suitable alternative to parametric tests. Hecke (2010) showed that the Kruskal-Wallis test represents a nonparametric approach to investigating two or more populations without the assumption about normality. While setting the hypotheses, the null hypotheses should indicate that the samples are obtained from identical populations.…”

Section: Kruskal-wallis Testmentioning

confidence: 99%

Cannabis Stock behavior and Investor’s Expectations on the TSX: A Mixed Method Approach

Durodola

Chotee

2019

International Journal of Applied Economics, Finance and Account

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This study examines the behavior of cannabis stock on the Toronto Stock Exchange and why investors are interested in cannabis stock. The theory of heterogeneous beliefs, bounded rationality theory and the theory of addiction grounded the study. We employed basic descriptive statistics and the Kruskal-Wallis test including an in-depth interview of investors using convenience sampling methods. The study findings showed that cannabis stocks exhibit a higher-level of risk volatility when compared to speculative and growth stocks on the Toronto Stock Exchange within the period under investigation. The descriptive statistics result suggest potential diversification benefits between cannabis stocks and growth stocks as both stocks classifications are likely to respond to macroeconomic shocks differently. Other findings show that cannabis stocks share similar characteristics with other speculative stocks but also possess unique features. Finally, investors are interested in cannabis stocks because of its potential for future strong earnings on the platform of the theory of addiction as discussed in the study. Funding: This study received no specific financial support. Competing Interests: The authors declare that they have no competing interests. the non-intoxicating compound responsible for calming people down) (Globe & Mail, 2019). Scientists overtime based on their understanding of how the human brain responds to Cannabis have developed medications which are derivatives of cannabis compounds to alleviate human sufferings by mitigating the effects of certain ailments. For instance medical cannabis have been developed for the treatment of neuropathic pain, spasticity in patients with multiple sclerosis, analgesic treatment of adult with cancer, treatment of nausea, appetite stimulant for patient with HIV, regaining memory loss, treatment of traumatic brain injury etc. (Medicalmarijuana.ca, 2019). On the basis of the successes recorded in the pharmaceutical industry coupled with a thriving illegal use of recreational cannabis in the black market, the government initiated and approved the bill allowing recreational cannabis. On October 2018, Canada became the first Country amongst the G7 nations to legalize the sale, and the use of recreational cannabis (Statistics Canada (2019)). Currently, approximately 4.9 million Canadians use cannabis for recreational purposes, with the potential to grow much more now that it is legal and trending. Economists project that the recreational cannabis industry will grow to $6.8 billion by 2020. Considering that the cannabis industry is poised to thrive on the background of proven medical and recreational benefits, a number of firms have become active on the Toronto Stock Exchange (TSX) in recent times. These firms in a bid to expand production and gain share, have invested quite a lot of money in research

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Power study of anova versus Kruskal-Wallis test

Cited by 171 publications

References 8 publications

Baby boomers in the United States: Factors associated with working longer and delaying retirement

Baby boomers in the United States: Factors associated with working longer and delaying retirement

Consumption of a high‐fat diet does not potentiate the deleterious effects on lipid and protein levels and body development in rats subjected to maternal protein restriction

Cannabis Stock behavior and Investor’s Expectations on the TSX: A Mixed Method Approach

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