How to Perform a Normality Test in SPSS
In today's video, you’ll learn How to perform normality test in SPSS. We will also focus on Histogram visual, skewness, kurtosis, Kolmogorov-Smirnov and Shapiro-Wilk tests in SPSS. This video will enhance your understanding of SPSS output for normality tests
For parametric statistics to work optimally, you need to ensure that your dataset is normally distributed. This is an important assumption for many statistical tests like: T-test, ANOVA, Regression, Pearson Correlation. So, conducting a normality test in SPSS is used to check whether a dataset follows a normal distribution.
𝐖𝐡𝐨 𝐢𝐬 𝐭𝐡𝐢𝐬 𝐟𝐨𝐫?
** Research students in EMEA, USA , Canada and UK
** Social science, psychology, education, management, healthcare, biological sciences and business researchers
** Anyone using SPSS for academic projects and thesis.
𝐊𝐞𝐲 𝐓𝐨𝐩𝐢𝐜𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
** How to run normality test in SPSS
* Perform Descriptive Statistics using Explore Function
** Normality test for categorical (nominal) data
** Kolmogorov-Smirnov test explained
** Shapiro-Wilk test in SPSS explained
** SPSS tutorial for beginners
** Interpreting p-values and deciding if your data is normally distributed
** What to do if your data is not normal
** Understanding parametric and non-parametric statistics
** Levene Test for Homogeneity of Variance
** What is normality testing and why it's important
Understanding normality is crucial for many statistical tests like t-tests, ANOVA, regression, and more! Knowing how to properly check your data ensures accurate, trustworthy results whether you're doing academic research, business analytics, or scientific studies.
𝐆𝐄𝐓 𝐀 𝐂𝐎𝐏𝐘 𝐎𝐅 𝐌𝐘 𝐁𝐎𝐎𝐊
1. 'Teach Yourself Data Analyses with SPSS". Get it on Amazon: https://amzn.to/2SNtGCj
2. 'Teach Yourself Econometric Data Analysis with EViews". Get it on Amazon: https://amzn.to/33RS3oU
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