Latent Variable

Saiyidi Mat Roni () and Hadrian Geri Djajadikerta ()
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Saiyidi Mat Roni: Edith Cowan University, School of Business and Law
Hadrian Geri Djajadikerta: Edith Cowan University, School of Business and Law

Chapter Chapter 6 in Data Analysis with SPSS for Survey-based Research, 2021, pp 89-104 from Springer

Abstract: Abstract This chapter is an extension of the preliminary data analysis chapter. We write this chapter to show you how to finally ‘create’ a latent variable. If this is the first time you hear the term, don’t worry. Latent variable is a variable that you cannot measure directly such attitude and motivation. This variable manifest itself through indicators and these indicators are the questions you ask in your survey. Once you have completed the validity and reliability checks, you can then calculate the latent variables that can be used in other statistical tests such as correlation and regression to answer your research questions. We explain how to compute the scores for the latent variables in this chapter. We also include final checks you need to do to ensure that your findings drawn from the main tests are reliable and generalisable. These checks are the non-response bias and common method bias. The former is about estimating the similarity between those who respond to your survey and the ones who do not, while the latter is to check if your participants respond to substances in the questions or mainly to the instrument. It is like testing the performance of your car – does the variations in speed is affected by the fuel types you put in, or simply because your stopwatch is unreliable?

Keywords: Common method bias; Harman’s single factor; Non-response bias; Transform data (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-0193-4_6

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DOI: 10.1007/978-981-16-0193-4_6

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