Understanding Type I and Type II errors

Type I and Type II errors signify the erroneous outcomes of statistical hypothesis tests. Type I error represents the incorrect rejection of a valid null hypothesis whereas Type II error represents the incorrect retention of an invalid null hypothesis. Null Hypothesis Null Hypothesis refers to a statement which nullifies the contrary with evidence. Consider the […]

How to Conduct One-way MANOVA in SPSS

One-way MANOVA in SPSS Statistics Introduction The one-way multivariate analysis of variance (one-way MANOVA in spss) is used to determine whether there are any differences between independent groups on more than one continuous dependent variable. In this regard, it differs from a one-way ANOVA, which only measures one dependent variable. For example, you could use […]

Output Interpretation for One-Way MANOVA

Output Interpretation for One-Way MANOVA SPSS Statistics produces many different tables in its one-way MANOVA analysis. In this section, we show you only the main tables required to understand your results from the one-way MANOVA and Tukey post-hoc tests. For a complete explanation of the output you have to interpret when checking your data for […]

Normality using SPSS Statistics (Two or more independent variables)

Testing for Normality using SPSS Statistics Procedure when there are two or more independent variables The Explore… command on its own cannot separate the dependent variable into groups based on not one but two or more independent variables. However, we can perform this feat by using the Split File… command. Click Data > Split File… on the top menu as shown […]

Introduction to Mediation Analysis

Introduction to Mediation Analysis This post intends to introduce the basics of mediation analysis and does not explain statistical details. For details, please refer to the articles at the end of this post. What is mediation? Let’s say previous studies have suggested that higher grades predict higher happiness: X (grades) → Y (happiness). (This research […]

T-Distribution Table

The critical values of t-distribution are calculated according to the probabilities of two alpha values and the degrees of freedom. The Alpha (a) values 0.05 one tailed and 0.1 two tailed are the two columns to be compared with the degrees of freedom in the row of the table. One Tail 0.05 0.025 0.01 0.005 […]

Understanding Mean Mode & Median

Understanding Mean Mode & Median Download this document fr your own perusal for understanding mean, mode & MedianMean, Median, Mode

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