A correlation analysis is a statistical procedure that evaluates the association between two sets of variables. The association between variables can be linear or nonlinear. In communication research, however, correlation analyses are mostly used to evaluate linear relationships. Sets of variables may include one or many variables. Associations between two variables (two sets of one
Like qualitative content analysis and Grounded Theory, discourse analysis can be conceived as a qualitative empirical method of analyzing mostly recorded human communication. The term itself was first introduced to the public by Zellig Harris in the early 1950s, but used rather unsystematically. In general terms, discourse analysis serves for analyzing written or spoken language
The main aim of discriminant function analysis is to predict group membership of an object or a person by using as few characteristics (or set of predictors) as possible. Additionally, discriminant analysis is used to classify elements according to their characteristic properties. So if you know the answers a subject might give to a crucial
Cluster analysis is a collective term for a broad variety of statistical methods and procedures which share the purpose of reducing the complexity of large collections of elements by arranging these objects into groups. Clustering procedures try to identify homogeneous groups (clusters) of entities within an empirical data set by comparing their attributes. The elements
Cost–value analysis (CVA) is a type of formal economic evaluation that can be used to inform decision makers in a public health service about the value to the public of different health technologies and what ought to be the public health service’s maximum willingness to pay for them. In estimating value and limits to willingness
This article delves into the intricate domain of case law analysis within the context of the United States criminal justice system. Commencing with a foundational introduction, the discourse defines case law analysis and underscores its pivotal role in shaping legal precedents. The historical section elucidates the evolutionary trajectory of case law, spotlighting landmark cases and
Introduction As healthcare costs increase because of the aging population and technological developments in healthcare, the need by healthcare decision makers for economic evaluations of new healthcare interventions becomes more important. A comprehensive economic evaluation of a new healthcare intervention requires an analysis of both the efficiency of the intervention compared with current treatment patterns
Introduction Decision-modeling is increasingly used or required by health technology funding/reimbursement agencies as a vehicle for economic evaluation. The process of developing and analyzing a decision analytic model as part of a health technology assessment (HTA) involves many uncertainties. Some relate to the assumptions and judgments regarding the conceptualization and structure of a model, others
Job analysis is a label given to the process of obtaining information about jobs, which includes both the description of what is done at work and the specification of what capabilities are needed to perform the work. It is one of the most widely used organizational data collection techniques and forms the foundation on which
A variety of job analysis methods have been developed over the years. These include work-oriented methods, which seek to describe what a worker does, worker-oriented methods, which seek to identify the characteristics needed to successfully perform job tasks, and hybrid methods, which combine elements of work- and worker-oriented methods. Because of space constraints, only methods