Now I am conducting a research and my dependent variable has 1 item only while my independent variable consist 3 items. Is this will effect to my result in multiple regression?
Number of items in IV and DV need not be same. Having said that, I am concerned whether you are able to capture the variables in their totality with 1 item for DV and 3 for IV?
it will to some extent...depending on the topic...and what you are trying to understand...see my research with SPSS under my name...
They need not be the same… very common that they are not the same…. With that said, the issue become your sample size for your analysis for the power needed for your analysis. I suggest you use G*power to determine your minimum sample size (Faul et al., 2007, 2009).
However, if you are using PLS-SEM, the sample size required the multiple-regression processing is less because PLS-SEM allows for smaller samples as long as the model is five times greater than the number of items comprising one of the constructs (Cassel et al., 2000; Chin et al., 2003).
Cassel, C. M., Hackl, P., & Westlund, A. H. (2000). On measurement of intangible assets: a study of robustness of partial least squares. Total Quality Management, 11(7), 897-907. https://doi.org/10.1080/09544120050135443
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study. Information Systems Research, 14(2), 189–217. https://doi.org/10.1287/isre.14.2.189.16018
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41, 1149-1160.
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175-191.
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