transforms correlations among a set of observed variables into smaller number of factors, containing essential information about the linear inter-relationships among the original test scores (Kriegel, Kroger, Sander, & Zimek, 2011). Factor analysis is used in behavioral sciences, social sciences, and other applied sciences dealing with large quantities of data. In addition, factor analysis is subdivided into two major groups; exploratory and confirmatory. Cluster analysis on the other hand

For example, with respect to the leadership support area developed by Bryk, Korkmaz (2006) reports that in some cases, collecting primary data are required to make informed decisions, particularly with respect to human resource decisions. In his study of 842 teachers working in 42 elementary schools, Korkmaz operationalized the dimensions in this area as described in Table 2 below. Table 2 Operationalization of Elementary School Climate and Leadership Dimensions Dimension Definition Instruments Used School vision This dimension

Demographic characteristics may be used to generate this profile. Results generated may show that after cluster analysis, respondents who belong to the upper middle to upper class socio-economic group are identified as having a high degree of health consciousness, while respondents aged between 25 and 25 are the ones who most rely on self-medication. Multidimensional scaling, meanwhile, will be useful in this example by mapping out these attitudes towards

Statistical Analysis Reported in Two Journal Articles Research endeavors, albeit it clinical, empirical, descriptive, historical, or case study oriented, must at all times adhere to the rigors of effective or best-fit research practice. Without stringent controls placed on the area of investigation no research endeavor will advance any body of knowledge. To this end all research must be finely tuned and described as to intent or purpose, phenomenon to be

CSR in Beijing Independent and dependent variable Qualitative Case study Research design Multiple case study and document review Sampling selection and Data collections Quantitative Survey Questionnaire Design and scale measurement Data collection and Response rate Data Analysis of the Pilot test Quantitative Data Analysis Sampling Design Reliability and Validity of Scaling Technique Exploratory Factor Analysis The overriding aim of the proposed project is to investigate the effect of CSR on the financial performance of Chinese companies. This, on one hand includes an investigation

Cluster Analysis By using two different data sets, this paper aims at improving two analyses conducted relating to leadership effectiveness and community policing studies. In addition, in the paper, reliability tests and factor analyses on some of the six scales of importance used in the Community Policing study are looked at in-depth. Besides, the analysis conducted by Dr. Eveland is re-evaluated in this paper. Leadership Effectiveness From the report conducted by Dr.