There are many choices statistical for post hoc procedures to choose from.Each is named after the scientist who developed it.* Fisher ‘s LSD statistical test * Duncan’s new multiple range statistical test * Newman-Keuls statistical test * Tukey’s HSD statistical test * Scheffe´ statistical test Other ANOVA Statistical Procedures to Choose From Repeated Measures ANOVA -There are occasions when we need to measure something on a recurrent basis.You measure the dependent variable more than once; you repeatedly measure it.So I decided to develop a series of tutorial videos to help you run your analysis. A One-Way ANOVA (Analysis of Variance) is a test that allows us to identify differences between THREE OR MORE groups of means, when you have only ONE independent variable.This is what the “One-Way” stands for: The number of independent variables involved.Struggling to understand how to use SPSS for your analysis?
There is one Independent variable with three or more (3 ) categories. There is one Dependent variable that is continuous in its numeric range.Data were acquired from the Programme for International Student Assessment from the Organisation for Economic Cooperation and Development.The total sample included 150 cases randomly selected from 240 schools in Massachusetts and 150 schools in Germany. For example, consider the following hypothetical experiment on age differences in memory for words and pictures.Sixteen 8-year-old children and 16 12-year-old children were shown a set of stimuli and later given a test to see how well they could recognize the stimuli that had been presented.Whereas the -test can only be used compare TWO groups, analysis of variance can be used to compare TWO OR MORE groups.EXAMPLE 1: Three groups of people with different sets of instructions look at a list of words: Group A uses visual encoding: Is the word in capital letters?The two-way (or N-way) ANOVA is used when the dependent variable is measured either on an interval or ratio scale and when there are two independent variables.ANOVA stands for "Analysis of Variance" and is used to compare differences between groups.This means that interval or ratio scales (where units are exactly the same) are used.The statistic you obtain to determine statistical significance is the F ratio or F statistic.