Factor Analysis Factor analysis is a data and variable reduction technique that attempts to partition a given set of variables into groups (called factors) or maximally correlated variables. 1. Factor Analysis Characteristics i. Interdependence Technique * Dependent Variable – None * More than one Variable – metric ii. Factor analysis is subjective and creative 2. Factor Analysis Output i. Data reduction from large number of variables to smaller number of factors ii. Factors
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How to Conduct Job Analysis Effectively by I - Wei Chang and Brian H. Kleiner How to Conduct Job Analysis Job Analysis is a systematic process of obtaining valid job information to aid management in decision-making. Each component of this definition is critical; for example “systematic process” means the job analysis is carefully planned to meet specific objectives. Systematic process is implemented in such a manner that it ensures employee co-operation‚ and utilises job analysis methods that are
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TRANSACTIONAL ANALYSIS: A REVIEW OF THEORY Running Head: TRANSACTIONAL ANALYSIS: A REVIEW OF THEORY Transactional Analysis: A Review of Theory Robin K. Walters-Powell Wayne State University SW 9220 Spring‚ 2010 Abstract Eric Berne‚ M.D. during the 1940’s as an alternative to psychoanalysis‚ created Transactional Analysis theory. Although influenced by the likes of Freud‚ Kahn‚ Federn‚ and Erikson‚ it was a transition to the optimistic side of human nature. It lends itself to the
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Transactional Analysis: NOUN; A system of psychotherapy that analyzes personal relationships and interactions in terms of conflicting or complementary ego states that correspond to the roles of parent‚ child‚ and adult. Transactional Analysis is a therapy modality used to create growth and change. A man by the name of Eric Berne from San Francisco in the 1950’s developed the concepts and tools of Transactional Analysis and introduced them to the public in his book "Games People Play." Berne
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SWOT analysis is a strategic planning method used to evaluate the Strengths‚ Weaknesses‚ Opportunities‚ and Threats involved in a project or in a business venture. It involves specifying the objective of the business venture or project and identifying the internal and external factors that are favorable and unfavorable to achieve that objective. The technique is credited to Albert Humphrey‚ who led a convention at Stanford University in the 1960s and 1970s using data from Fortune 500 companies.
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PEST analysis PEST analysis stands for "Political‚ Economic‚ Social‚ and Technological analysis" and describes a framework of macroenvironmental factors used in the environmental scanning component of strategic management. It is a part of the external analysis when conducting a strategic analysis or doing market research and gives a certain overview of the different macroenvironmental factors that the company has to take into consideration. It is a useful strategic tool for understanding market
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PESTEL Analysis (Environmental Trends Analysis) Political‚ Economic‚ Social‚ Technological‚ Environmental‚ Legal To analyze the external environment and generate ideas where are the opportunities and threats. -Economic (government spending) -Social (health) -Legal (new regulations‚ good or bad) What is SWOT Analysis? SWOT allows you to look at the interactions between the INTERNAL factors of Strengths and Weaknesses and EXTERNAL factors of Opportunities and Threats to develop action plans
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PESTLE ANALYSIS A PESTLE Analysis is one of the most important frameworks of macro-environmental scanning‚ framework which comprises the most important factors used in environmental scanning‚ as part of advanced strategic management. Throughout the last few years‚ the acronym PESTLE has suffered a number of changes‚ but PESTLE seems to be the most commonly spread and almost unanimously accepted “concept”. PESTLE stands for “Political‚ Economic‚ Sociological‚ Technological‚ Legal and Environmental”
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Factor Analysis Introduction Basic Concept of Factor Analysis Factor analysis is a statistical approach to reduce a large set of variables that are mostly correlated to each other to a small set of variables or factors. It is also used to explain the variables in the common underlying factors. (Hair et al‚ 1998) Malhotra‚ 2006 mentioned that factor analysis is also an interdependence technique that both dependent and independent variables are examined without making distinction between them
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Chapter 9 Cluster Analysis Learning Objectives After reading this chapter you should understand: – The basic concepts of cluster analysis. – How basic cluster algorithms work. – How to compute simple clustering results manually. – The different types of clustering procedures. – The SPSS clustering outputs. Keywords Agglomerative and divisive clustering Á Chebychev distance Á City-block distance Á Clustering variables Á Dendrogram Á Distance matrix Á Euclidean distance Á Hierarchical and
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