query regarding the value of skewness and kurtosis

[Parmjot Singh]

Hello every researcher here in this group. I am doing research in supply chain management. My question is that what should be the acceptable value of the kurtosis and skewnes in primary survey? In papers and on google i came to know about the standard value of skewnes and kurtosis based on normal distributed data, as we know that the primary data we collect is not normal data.
So I want to know the acceptable region for skewnes and kurtosis for applying SEM on the final data.

Also i want to know that the value of skewnes and kurtosis have how much impact on performing SEM.

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Thanks with Warm Regards

PARMJOT SINGH
Research Scholar

Guru Jambheswar University of Science and technology

Hisar, haryana

India

[Pooja Singhal]

Sir, Sk and kurtosis are used to evaluate normality of the data. As far as I know if value of skewness os close to 0 or in limit of -1 to +1, data is perceived to be normal whereas kurtosis should be close to 3.

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[Arun Aggarwal]

Sir, the Acceptable value of ±3 for skewness and  ±8 for kurtosis (Kline, 2005).

Reference: Kline, R. B. (2005). Principles and Practice of Structural Equation Modelling (2nd ed.). New York: Guilford Press.

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With Regard's

Arun Aggarwal

Research Scholar

University School of Applied Management,

Punjabi University, Patiala

+91-9888432764

[Parmjot Singh]

thanks for your replies

my sk values cpmes near to +1.4 and kurtosis approaches half statements near to 1.67 and remaining 3 and almost 20% are between 3.0-3.5.

if i used SEM, then with these values can i apply sem? will there not be any problem in values of sem?

[Neeraj Kaushik]

You can work on SEM as its nothing but Regression.

In Regression there is no assumption of Normality of IDVs or DV.

[Parmjot Singh]

thanks sir ji

[Aman Dhimaan]

Dear Arun , are these values of skewness and kurtosis in context of SEM only or we can generalize it ?

Regards
Amandeep Kaur
Research Scholar
PUP

[Arun Aggarwal]

Dear Aman these are general guidelines for determining the normality of data on the basis of Skewness and Kurtosis.

[Neeraj Kaushik]

Taken from https://www.researchgate.net/post/What_is_the_acceptable_range_of_skewness_and_kurtosis_for_normal_distribution_of_data:

The values for asymmetry and kurtosis between -2 and +2 are considered acceptable in order to prove normal univariate distribution (George & Mallery, 2010). George, D., & Mallery, M. (2010). SPSS for Windows Step by Step: A Simple Guide and Reference, 17.0 update (10a ed.) Boston: Pearson.
What is the acceptable range of skewness and kurtosis for normal distribution of data? - ResearchGate. Available from: https://www.researchgate.net/post/What_is_the_acceptable_range_of_skewness_and_kurtosis_for_normal_distribution_of_data [accessed Jul 18, 2016].

[Anoop Kumar Gupta]

Dear Neeraj Sir,

Can you please give some references for supporting non-requirement of normality assumption for SEM. I would be grateful for the same.

Thanks and regards,

Anoop Kumar Gupta

PhD Scholar

MLSU, Udaipur

Anoop Kumar Gupta

----- Reply message -----
From: "Neeraj Kaushik" <kaushi...@gmail.com>
To: "dataanalysistraining" <dataanalys...@googlegroups.com>
Subject: query regarding the value of skewness and kurtosis
Date: Thu, Jul 14, 2016 4:44 PM

You can work on SEM as its nothing but Regression.

In Regression there is no assumption of Normality of IDVs or DV.

On Thu, Jul 14, 2016 at 4:34 PM, Parmjot Singh <parmjot...@gmail.com> wrote:

thanks for your replies

my sk values cpmes near to +1.4 and kurtosis approaches half statements near to 1.67 and remaining 3 and almost 20% are between 3.0-3.5.

if i used SEM, then with these values can i apply sem? will there not be any problem in values of sem?

[Neeraj Kaushik]

Dear Anoop

SEM is nothing but Regression and hence it got assumptions of Regression. 

You may refer any textbook on Regression, you'll find assumptions of regression ziz:

1. Linearity

2. Multi-collinearity problem

3. Homoscadesticity issue

You may check the same on https://www.youtube.com/watch?v=Gkp1DKbU-es

One may provide the link for assumptions but how can we provide the reference for something which is not an assumption?. 

Best wishes

Neeraj

[Anoop Kumar Gupta]

Dear Neeraj Sir,

Thanks for your words of wisdom.

Regards,

Anoop Kumar Gupta