Three-way ANOVA (limited to two levels in two of the factors, and any number of levels in the third).Īnalysis of repeated measures data (one-, two-, and three-way) using a mixed effects model (similar to repeated measures ANOVA, but capable of handling missing data).Įnter differential or implicit equations.Įnter different equations for different data sets. Two-way ANOVA, even with missing values with some post tests. Calculate the relative risk and odds ratio with confidence intervals.
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Kruskal-Wallis or Friedman nonparametric one-way ANOVA with Dunn's post test.įisher's exact test or the chi-square test. When this is chosen, multiple comparison tests also do not assume sphericity. Greenhouse-Geisser correction so repeated measures one-, two-, and three-way ANOVA do not have to assume sphericity. Many multiple comparisons test are accompanied by confidence intervals and multiplicity adjusted P values. One-way ANOVA without assuming populations with equal standard deviations using Brown-Forsythe and Welch ANOVA, followed by appropriate comparisons tests (Games-Howell, Tamhane T2, Dunnett T3)
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Ordinary or repeated measures ANOVA followed by the Tukey, Newman-Keuls, Dunnett, Bonferroni or Holm-Sidak multiple comparison tests, the post-test for trend, or Fisher’s Least Significant tests. Perform many t tests at once, using False Discovery Rate (or Bonferroni multiple comparisons) to choose which comparisons are discoveries to study further. Wilcoxon test with confidence interval of median. Kolmogorov-Smirnov test to compare two groups. Nonparametric Mann-Whitney test, including confidence interval of difference of medians. Reports P values and confidence intervals.Īutomatically generate volcano plot (difference vs. Therefore, we follow the long-term and short-term Economically Inactive Population components evolution to know the association between each component and the country Economic Participation Rate. In this Paper, whether mentioned factors affect Economic Participation Rate and it's ranges are investigated. Short-term effective factors are introduced as economical agents for instant: incomes without employee, expecting agents, boom and bust years, inflation rate and salary. Mid-term factors are laid inside the population and include longer cultural, social and economic factors such as lifestyles and the pattern changes, the role of women on society and men or women education. In the present research, age and sex population structures are introduced as the long-term effective factors on Economic Participation Rate. To explain long-term agents, the concept of Potentially Active Population source is defined and the quantity of the rate changes in the past years is investigated. These factors on the one hand include population structures and its components on the other hand include non-population structures such as cultural, social and finally economic factors. According to emphasize on the Economic Participation Rate and effective factors on this rate and it's future changes, the factors are divided into long-term, mid-term and short-term. In addition, changes of the population rate and the country Potentially Active Population in 10 years and later are studied. In this Paper, Economic Participation Rate from 1956 to summer 2014 is investigated.