Factor analysis is used to find latent variables or factors among observed variables. In other words, if the data contains many variables, the researcher can use factor analysis to reduce the number of variables. Factor analysis groups variables with similar characteristics together. With factor analysis one can produce a small number of factors from a large number of variables which is capable of explaining the observed variance in the larger number of variables. The reduced factors can also be
They are mostly used in the fields of natural sciences and math but are also applied in areas like economics. I now have a better and more clear understanding of how to carry out bivariate analysis- such as the application of regression lines and least square regressions. Except for the common example of population growth in exponents, I previously never understood how concepts like integration and logarithms could be used in real-life situations but after applying them to a very common
CONCEPTS 1. Variables 2. Research Questions 3. Literature Review 4. Manipulation 5. Purposive Sampling 6. Observation in Research 7. Reliability 8. Testing Hypothesis 9. Abstract Writing 10. Informed Consent RESEARCH VARIABLES This is a concept, characteristic or trait that varies e.g. takes on measurably different values within an identified population in a research study (Rae W Longford 2001). The research variables of any scientific experiment or research process are factors that