01583naa a2200277 a 450000100080000000500110000800800410001910000160006024501040007626000090018050001450018952006520033465000260098665000130101265000250102565000150105065300260106565300140109165300180110570000200112370000160114370000200115970000200117970000150119977300910121420945222019-09-23       2018    bl uuuu     u00u1 u    #d1 aSARI, B. G.  aInterference of sample size on multicollinearity diagnosis in path analysis.h[electronic resource]  c2018  aNotas Científicas. Título em português: Interferência do tamanho de amostra no diagnóstico de multicolinearidade em análise de trilha.  aThe objective of this work was to evaluate the interference of sample size on multicollinearity diagnosis in path analysis. From the analyses of productive traits of cherry tomato, two Pearson correlation matrices were obtained, one with severe multicollinearity and the other with weak multicollinearity. Sixtysix sample sizes were designed, and from the amplitude of the bootstrap confidence interval, it was observed that sample size interfered on multicollinearity diagnosis. When sample size was small, the imprecision of the diagnostic criteria estimates interfered with multicollinearity diagnosis in the matrix with weak multicollinearity.  aMultivariate analysis  aSampling  aSolanum lycopersicum  aAmostragem  aAnálise multivariada  aBootstrap  aBootstrapping1 aLÚCIO, A. D'C.1 aOLIVOTO, T.1 aKRYSCZUN, D. K.1 aTISCHLER, A. L.1 aDREBES, L.  tPesquisa Agropecuária Brasileira, Brasília, DFgv. 53, n. 6, p. 769-773, June, 2018.