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A two-tailed test applied to the normal distribution. A one-tailed test, showing the p-value as the size of one tail. In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter inferred from a data set, in terms of a test statistic. A two-tailed test ...
One such replication was done by George Hines and published in December 1973 in the Journal of Applied Psychology. Hines tested Herzberg's two-factor motivation theory in New Zealand, using ratings of 12 job factors and overall job satisfaction obtained from 218 middle managers and 196 salaried employees.
Temporal motivation theory; ... Two-factor theory; Y. Yale attitude change approach This page was last edited on 29 June 2022, at 20:18 (UTC). ...
The Kruskal–Wallis test by ranks, Kruskal–Wallis test (named after William Kruskal and W. Allen Wallis), or one-way ANOVA on ranks is a non-parametric statistical test for testing whether samples originate from the same distribution. [1] [2] [3] It is used for comparing two or more independent samples of equal or different sample sizes.
Herzberg's theory challenged the assumption that "dissatisfaction was a result of an absence of factors giving rise to satisfaction". [7] Motivational factors will not necessarily lower motivation, but can be responsible for increasing motivation. These factors could involve job recognition, potential for promotion or even the work in itself. [6]
Another addition to the two factor models was the creation of a 10 by 10 square grid developed by Robert R. Blake and Jane Mouton in their Managerial Grid Model introduced in 1964. This matrix graded, from 0–9, the factors of "Concern for Production" (X-axis) and "Concern for People" (Y-axis), allowing a moderate range of scores, which ...
The Student's t distribution plays a role in a number of widely used statistical analyses, including Student's t test for assessing the statistical significance of the difference between two sample means, the construction of confidence intervals for the difference between two population means, and in linear regression analysis.
A bimodal distribution would have two high points rather than one. The shape of a distribution is sometimes characterised by the behaviours of the tails (as in a long or short tail). For example, a flat distribution can be said either to have no tails, or to have short tails.