Easy way to do Normality test using SPSS software

Hi,

If the Z Value is between -1.96 to +1.96 then the data is not normally distributed

You can check different methods used to check whether your data is normally distributed or not.

A normality test is a statistical process used to determine if a sample or any group of data fits a standard normal distribution.

An informal approach to testing normality is to compare a histogram of the sample data to a normal probability curve.

The empirical distribution of the data (the histogram) should be bell-shaped and resemble the normal distribution.

Based on Skewness and Kurtosis the Normality of the data is tested and apart from this I have used kolmogorov smirnov test and shapiro wilk test for normality

[naylianas]

Thanks Dr ..finaly, i got the answer..normality test is for scale data...

[abualia]

I think it's not enough to look at (kurtosis and skewness) only to judge the normality of data, there are other measurements that can be easily checked from this category (Explore on SPSS), such as: shapiro wilk, the Histogram with the normality curve (from graphs category) and Q-Q plot, thanks.

[sanjivsrivastava]

I have a query that once I have done the factorization and achieved extracted component after that how I will to proceed for the next step of analysis in SPSS and in Amoss. Kindly give me your suggestion.

[louisaschmidt]

Thanks a lot! This video really helped me. I, however, have a question. In a statistics assignment I got the (fictional) research hypothesis that the ''Time spent watching TV'' is longer for ''Condition A (calm environment)'' than for ''Condition B (distraction)''. This effect is increased depending on the ''TV show (liked a lot, liked somewhat, neutral, disliked somewhat, disliked)''. I am supposed to investigate this research question using SPSS and using 4 analyses which are supposed to be fundamentally different and logically connected to each other. I thought about starting with the Explore Option as Analysis 1 in order to check the assumptions of GLM (normal distribution). In the explore tab I chose ''Time spent watching TV'' as dependent variable and ''Condition'' as independent variable. This shows me that my data is normally distributed for ''condition A (calm)''as well as ''condition B (distraction)''. Based on this I decided to do a GLM univariate with ''condition'' and ''TV show'' as factors and ''time spent watching TV'' as dependent variable. However, this in total are only 2 analyses. I really don't know what else I could do. I also don't know whether I also have to select ''TV show'' as independent variable in addition to ''Condition'' when doing the explore analysis. Or maybe everything I have done is wrong. I am really desperate.

[wknajafi]

thanks for this very simply represented explanations

[nurulnabilah]

how to determine the measure whether it is ordinal, scale, nominal or etc

[adrianjra.maronilla]

Hi! Is that a Jarque-Bera Normality Test?

[itsttash]

Hi, for my dissertation I am testing the relationship between the candidates carbon footprints and variables such as age, job, where they live (postcode), gender and what course they study at university. I can't seem to wrap my head around how to run a normality test in my data set in SPSS. I don't have a large data set so I am assuming the data would be non-normally distributed. Please help.