Two primary features of the tropical Pacific climate are the Intertropical Convergence Zone (ITCZ) and the El Nino/NiÃ±o Southern (OSCILLATION). Enso THE itcz is the-circum global zone of convergence of the northern and southern trade winds that results in a band of heavy rainfall near the. equatorwo primary features of the tropical Pacific climate are the Intertropical Convergence Zone (ITCZ) and the El Nino/NiÃ±o Southern (OSCILLATION). Enso THE itcz is the-circum global zone of convergence of the northern and southern trade winds that results in a band of heavy rainfall near the. equator
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors.For example, it is possible that variations in four observed variables mainly reflect the variations in two unobserved variables.xploratory factor analysis (EFA) is used to identify complex interrelationships among items and group items that are part of unified concepts. The researcher makes no a priori assumptions about relationships among factors.
Chapter 1 Theoretical Introduction â  Factor analysis is a collection of methods used to examine how underlying constructs inÂ°uence theresponses on a number of measured variables. â  There are basically two types of factor analysis: exploratory and conï¬rmatory.â Exploratory factor analysis (EFA) attempts to discover the nature of the constructs inÂ°uencinga set of responses. â Conï¬rmatory factor analysis (CFA) tests whether a speciï¬ed set of constructs is inÂ°uencing re-sponses in a predicted way..3 Factor Analysis vs. Principal Component Analysis â  Exploratory factor analysis is often confused with principal component analysis (PCA), a similarstatistical procedure. However, there are signiï¬cant diï¬erences between the two: EFA and PCAwill provide somewhat diï¬erent results when applied to the same data.