Power and Type I Error Control for Univariate Comparisons in Multivariate Two-Group Designs

Frane, Andrew V.

doi:10.1080/00273171.2014.968836

Cited by 32 publications

(25 citation statements)

References 48 publications

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“…We also verified the individual anova s for each variable to diagnose which one differed between the groups. Although we found mild correlations among vocal features (maximum Pearson's r = 0.441), these relationships do not influence the effect of manova in any way (Frane ). To test whether acoustic variables could diagnose differences between populations, we used a discriminant function analysis (DFA).…”

Section: Methodscontrasting

confidence: 53%

Vocal divergence between two disjunct populations of Giant Antshrike (Batara cinerea) is related to environmental conditions

Sementili‐Cardoso

Donatelli

2018

Austral Ecology

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Variation in the avian vocal signals emitted may have a significant impact on species evolution. Vocal divergence in suboscine species like Giant Antshrike (Batara cinerea) may be associated with selective adaptation, since learning has little influence on vocal development and variation in acoustic structure cannot be attributed to learning deviation. Consequently, tracheophone suboscine species are ideal subjects to explore vocal variation, since cultural evolution does not seem to influence vocal variation in this group. Environmental conditions may determine the selection of vocal features because acoustic transmission could be attenuated under certain conditions of temperature, humidity and vegetation cover. Here, we examined vocalizations of Giant Antshrike and assessed possible acoustic variations between two disjunct groups (Andean and Atlantic), correlating the differences to the environmental structure. Univariate and multivariate analysis show temporal and spectral differences between both groups. Andean individuals produce vocalizations with longer duration, faster trill rates, shorter syllable duration and higher frequencies. Environmental features are different between the two populations, and they are correlated to the acoustic structure of vocalizations. Temporal variations arise directly from climatic influence, while spectral divergence could be a secondary effect of morphological adaptation to habitat structure.

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Section: Methodscontrasting

confidence: 53%

Vocal divergence between two disjunct populations of Giant Antshrike (Batara cinerea) is related to environmental conditions

Sementili‐Cardoso

Donatelli

2018

Austral Ecology

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“…Similar significant differences were also evidenced by multivariate analysis of variance ( manova ) for which the Pillai–Bartlett statistic (Hand and Taylor ) among VCUs ( V = 0.13) and genotypes ( V = 0.10) was significant at the 1‰ probability level. The main difference between anova and manova is that while the former tests for the difference in means between groups, manova tests for the difference in appropriate vectors of means and can protect against type I errors (Frane ) that might occur if multiple anova s were conducted independently as in this work. VCU 2013 and VCU 2014 performed comparably for b * value and tuber grades, but VCU 2014 outperformed VCU 2013 for total yield, the number of tubers per plant, tuber dry matter content, and produced more stems per plant (Table ).…”

Section: Resultsmentioning

confidence: 99%

Genomic prediction for yields, processing and nutritional quality traits in cultivated potato (Solanum tuberosumL.)

2017

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Current potato breeding approaches are hampered by several factors including costly seed tubers, tetrasomic inheritance and inbreeding depression. Genomic selection (GS) demonstrated interesting results regardless of the ploidy level, and can be harnessed to circumvent these problems. In this work, three GS models were evaluated using 50,107 informative SilicoDArT markers and 11 traits in two values for cultivation and use (VCU) potato trials. Two key breeding problems modelled included predicting the performance of (i) new and unphenotyped clones (cross‐validation) and (ii) a VCU using another as training set (TS). GS models performed comparably. Cross‐validation accuracy was high for D35, D45, DMW and BVAL, in ascending order. Prediction accuracies of the VCUs were highly correlated, but the best prediction was obtained for the smaller VCU using the bigger as TS. Cross‐validation and VCU prediction accuracies were higher when bigger TSs were used. The findings herein indicate that GS can be attractively integrated in potato breeding, particularly in early clonal generations to predict and select for traits with low heritability which would otherwise require more testing years, environments and resources.

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“…No of employees (coded as the categories: less than 10, from 10 to 100, from 100 to 250 and more than 250 employees), turnover (coded as: less than 1 million, from 1 to 10 millions, from 10 to 50 millions and more than 50 millions) and geographical location (India / the UK). In addition, multivariate analysis of variance (MANOVA) is utilized in the case where the dependent variable is a combination of a set of correlated observed items (Frane, 2015). For the MANOVA models, the cronbach"s alpha test for reliability has been previously applied for checking of the reliability of the analysis conducted.…”

Section: Discussionmentioning

confidence: 99%

Environmental management and corporate social responsibility practices of small and medium-sized enterprises

Dey

Petridis

et al. 2018

Journal of Cleaner Production

128

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The main aim of this paper is to facilitate small and medium sized enterprises (SMEs) to adopt environmental management (EM) and corporate social responsibility (CSR) practices. The study reveals SMEs" motivation, pressure, targets and methods for EM and CSR practices. Additionally, the paper investigates how these variables relate to employee number, turnover and geographical locations. The outcomes of the research will add value to SMEs decision-making processes in both strategic and policy levels (e.g. supplier selection) and policymakers" initiatives to make SMEs environment and socially friendly. Although there are studies on EM and CSR practices of SMEs, they mainly focus on impact of EM and CSR practices on business performance, and SMEs" motivation for adopting EM and CSR practices in specific country. Studies that reveal SMEs" motivation, pressure, targets and methods for EM and CSR practices and their relationship with their characteristics (e.g. size, turn over, and geographical location) are scant. This research bridges this gap. Our data originates from 223 carefully selected representative SMEs in the West Midlands, UK (105) and Kolkata, India (118) covering manufacturing and process industries. The relevant data was collected using questionnaires and analysed using Analysis of Variance (ANOVA) and Multivariate Analysis of Variance (MANOVA) methods. The results reveal that perceptions of SMEs" motivation, pressure, targets and methods of EM and CSR practices vary considerably with respect to size, turn over and geographical location. The findings are significant to policymakers, client organizations and individual SME for improving EM and CSR practices.

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Power and Type I Error Control for Univariate Comparisons in Multivariate Two-Group Designs

Cited by 32 publications

References 48 publications

Vocal divergence between two disjunct populations of Giant Antshrike (Batara cinerea) is related to environmental conditions

Vocal divergence between two disjunct populations of Giant Antshrike (Batara cinerea) is related to environmental conditions

Genomic prediction for yields, processing and nutritional quality traits in cultivated potato (Solanum tuberosumL.)

Environmental management and corporate social responsibility practices of small and medium-sized enterprises

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