The basic steps of analyzing the data outliers with mahalanobis distance (MDI) technique: a study on the influence of human capital investment at polytechnic in East Coast Malaysia

Bibliographic Details
Format: Restricted Document
_version_ 1860799690429169664
building INTELEK Repository
collection Online Access
collectionurl https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
date 2024-09-18 19:30:20
eventvenue Tanjung Malim, Perak
format Restricted Document
id 7013
institution UniSZA
originalfilename 2081-01-FH03-FPP-19-34174.pdf
recordtype oai_dc
resourceurl https://intelek.unisza.edu.my/intelek/pages/view.php?ref=7013
spelling 7013 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=7013 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper application/pdf 1.4 9 Adobe Acrobat Pro DC 20 Paper Capture Plug-in 2024-09-18 19:30:20 2081-01-FH03-FPP-19-34174.pdf UniSZA Private Access The basic steps of analyzing the data outliers with mahalanobis distance (MDI) technique: a study on the influence of human capital investment at polytechnic in East Coast Malaysia Data analysis involved the process of developing answers to research questions through the examination and clarification of data and data screening process is a crucial part to prepare the data for further analysis. Therefore, this paper will highlight on the steps of Mahalanobis distance (MDi) implementation as one of the techniques to remove the data outliers by using the Statistical Procedure of Social Science (SPSS) software. The paper is going to adopt the data derived from the study which was conducted in 9 polytechnic campuses in East Coast Malaysia- Kelantan, Pahang and Terengganu. The numbers of population (14=1408 respondents) are consists of the lecturers from various departments. While the sample size (n) are 345 respondents. The questionnaire was distributed to obtain the feedback from the respondents by using the stratified sampling procedure. The questionnaire was consisting of 8 section with 1 dependents variable, 6 independent variables and 1 moderator. International Conference on Entrepreneurship, Management, Education, Social Science & Technology ICEMEST 019 Tanjung Malim, Perak
spellingShingle The basic steps of analyzing the data outliers with mahalanobis distance (MDI) technique: a study on the influence of human capital investment at polytechnic in East Coast Malaysia
summary Data analysis involved the process of developing answers to research questions through the examination and clarification of data and data screening process is a crucial part to prepare the data for further analysis. Therefore, this paper will highlight on the steps of Mahalanobis distance (MDi) implementation as one of the techniques to remove the data outliers by using the Statistical Procedure of Social Science (SPSS) software. The paper is going to adopt the data derived from the study which was conducted in 9 polytechnic campuses in East Coast Malaysia- Kelantan, Pahang and Terengganu. The numbers of population (14=1408 respondents) are consists of the lecturers from various departments. While the sample size (n) are 345 respondents. The questionnaire was distributed to obtain the feedback from the respondents by using the stratified sampling procedure. The questionnaire was consisting of 8 section with 1 dependents variable, 6 independent variables and 1 moderator.
title The basic steps of analyzing the data outliers with mahalanobis distance (MDI) technique: a study on the influence of human capital investment at polytechnic in East Coast Malaysia
title_full The basic steps of analyzing the data outliers with mahalanobis distance (MDI) technique: a study on the influence of human capital investment at polytechnic in East Coast Malaysia
title_fullStr The basic steps of analyzing the data outliers with mahalanobis distance (MDI) technique: a study on the influence of human capital investment at polytechnic in East Coast Malaysia
title_full_unstemmed The basic steps of analyzing the data outliers with mahalanobis distance (MDI) technique: a study on the influence of human capital investment at polytechnic in East Coast Malaysia
title_short The basic steps of analyzing the data outliers with mahalanobis distance (MDI) technique: a study on the influence of human capital investment at polytechnic in East Coast Malaysia
title_sort basic steps of analyzing the data outliers with mahalanobis distance (mdi) technique: a study on the influence of human capital investment at polytechnic in east coast malaysia