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https://doi.org/10.1057/9781137386380 this chapter, we explain to you how you can test the reliability of your questionnaires through the Cronbach’s alpha (don’t worry with this technical term. It is not as scary as it sounds). We also demonstrate Fornell-Larcker criterion and . (AVE) methods to check for the validity of your instrumen
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Assess the Quality of Your Instrument, this chapter, we explain to you how you can test the reliability of your questionnaires through the Cronbach’s alpha (don’t worry with this technical term. It is not as scary as it sounds). We also demonstrate Fornell-Larcker criterion and . (AVE) methods to check for the validity of your instrumen
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Test of Correlations, test between two variables that you can use for your survey data. For example, you want to investigate if attitude toward a brand is related to intention to purchase the product. We also teach you a bootstrap correlation test which provides a more stable result in most cases. This chapter, as the n
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978-981-16-0195-8Springer Nature Singapore Pte Ltd. 2021
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Saiyidi Mat Roni,Hadrian Geri DjajadikertaIndicates which statistical tests are most appropriate for different stages of data analysis.Provides datasets for each statistical test for readers to experiment with.Includes a dedicated chapter dea
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