Repertory Grid
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Repertory Grid
The repertory grid is an interviewing technique which uses nonparametric factor analysis to determine an idiographic measure of personality. It was devised by George Kelly in around 1955 and is based on his personal construct theory of personality. Republished in 1991 as: Introduction The repertory grid is a technique for identifying the ways that a person construes (interprets or gives meaning to) his or her experience. It provides information from which inferences about personality can be made, but it is not a personality test in the conventional sense. It is underpinned by the personal construct theory developed by George Kelly, first published in 1955. A grid consists of four parts: # A ''topic'': it is about some part of the person's experience # A set of ''elements'', which are examples or instances of the ''topic''. Working as a clinical psychologist, Kelly was interested in how his clients construed people in the roles they adopted towards the client, and so, ori ...
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Nonparametric
Nonparametric statistics is the branch of statistics that is not based solely on Statistical parameter, parametrized families of probability distributions (common examples of parameters are the mean and variance). Nonparametric statistics is based on either being distribution-free or having a specified distribution but with the distribution's parameters unspecified. Nonparametric statistics includes both descriptive statistics and statistical inference. Nonparametric tests are often used when the assumptions of parametric tests are violated. Definitions The term "nonparametric statistics" has been imprecisely defined in the following two ways, among others: Applications and purpose Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear Number, numerical interpretation, such as when assessing preference ...
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Information Systems Research
''Information Systems Research'' is a quarterly peer-reviewed academic journal that covers research in the areas of information systems and information technology, including cognitive psychology, economics, computer science, operations research, design science, organization theory and behavior, sociology, and strategic management. It is published by the Institute for Operations Research and the Management Sciences and in 2007 was ranked as one of the most prestigious journals in the information systems discipline. In 2008 it was selected as one of the top 20 professional/academic journals by ''Bloomberg Businessweek''. The editor-in-chief is Alok Gupta (University of Minnesota), who was preceded by Ritu Agarwal (2011-2016; University of Maryland, College Park), Vallabh Sambamurthy (2005-2010; Michigan State University), Chris F. Kemerer (2002-2004), Izak Benbasat (1999-2001), John Leslie King (1993-1998), and E. Burton Swanson (1990-1992). According to the ''Journal Citati ...
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Q Methodology
Q methodology is a research method used in psychology and in social sciences to study people's "subjectivity"—that is, their viewpoint. Q was developed by psychologist William Stephenson. It has been used both in clinical settings for assessing a patient's progress over time (intra-rater comparison), as well as in research settings to examine how people think about a topic (inter-rater comparisons). Technical overview The name "Q" comes from the form of factor analysis that is used to analyze the data. Normal factor analysis, called "R method," involves finding correlations between variables (say, height and age) across a sample of subjects. Q, on the other hand, looks for correlations between subjects across a sample of variables. Q factor analysis reduces the many individual viewpoints of the subjects down to a few "factors," which are claimed to represent shared ways of thinking. It is sometimes said that Q factor analysis is R factor analysis with the data table turned sidewa ...
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Knowledge Representation And Reasoning
Knowledge representation and reasoning (KRR, KR&R, KR²) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can use to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of ''reasoning'', such as the application of rules or the relations of sets and subsets. Examples of knowledge representation formalisms include semantic nets, systems architecture, frames, rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers. History The earliest work in computerized knowledge repr ...
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Implicit Relational Assessment Procedure
The Implicit Relational Assessment Procedure (IRAP) is a computer-based psychological measure. It was heavily influenced by the implicit-association test, and is one of several tasks referred to as indirect measures of implicit attitudes. The IRAP is one of relatively few indirect measures that can includes relational or propositional rather than associative information. The IRAP was conceptualised by Dermot Barnes-Holmes, and originally published in 2006. A meta analysis of clinically-relevant criterion effects suggest that the IRAP has good validity. However, a second meta analysis suggests that it has poor reliability, like many reaction time based measures. Research using the IRAP is often linked to relational frame theory, a functional-analytic theory of language. Application and use Procedure A computer-based measure, the IRAP requires individuals to accurately and quickly respond to the relation between two stimuli presented on screen (e.g., to "dog" and "woof") using ...
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Idea Networking
Idea networking is a qualitative method of doing a cluster analysis of any collection of statements, developed by Mike Metcalfe at the University of South Australia. Networking lists of statements acts to reduce them into a handful of clusters or categories. The statements might be source from interviews, text, websites, focus groups, SWOT analysis or community consultation. Idea networking is inductive as it does not assume any prior classification system to cluster the statements. Rather keywords or issues in the statements are individually linked (paired). These links can then be entered into network software to be displayed as a network with clusters. When named, these clusters provide emergent categories, meta themes, frames or concepts which represent, structure or sense-make the collection of statements. Method An idea network can be constructed in the following way: * 60 to 200 statements are listed and assigned reference numbers. * A table is constructed showing which ...
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Graph (abstract Data Type)
In computer science, a graph is an abstract data type that is meant to implement the undirected graph and directed graph concepts from the field of graph theory within mathematics. A graph data structure consists of a finite (and possibly mutable) set of ''vertices'' (also called ''nodes'' or ''points''), together with a set of unordered pairs of these vertices for an undirected graph or a set of ordered pairs for a directed graph. These pairs are known as ''edges'' (also called ''links'' or ''lines''), and for a directed graph are also known as ''edges'' but also sometimes ''arrows'' or ''arcs''. The vertices may be part of the graph structure, or may be external entities represented by integer indices or references. A graph data structure may also associate to each edge some ''edge value'', such as a symbolic label or a numeric attribute (cost, capacity, length, etc.). Operations The basic operations provided by a graph data structure ''G'' usually include:See, e.g. , Sect ...
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Multimethodology
Multimethodology or multimethod research includes the use of more than one method of data collection or research in a research study or set of related studies. Mixed methods research is more specific in that it includes the mixing of qualitative and quantitative data, methods, methodologies, and/or paradigms in a research study or set of related studies. One could argue that mixed methods research is a special case of multimethod research. Another applicable, but less often used label, for multi or mixed research is methodological pluralism. All of these approaches to professional and academic research emphasize that monomethod research can be improved through the use of multiple data sources, methods, research methodologies, perspectives, standpoints, and paradigms. The term ''multimethodology'' was used starting in the 1980s and in the 1989 book ''Multimethod Research: A Synthesis of Styles'' by John Brewer and Albert Hunter. During the 1990s and currently, the term ''mixed metho ...
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John Wiley & Sons
John Wiley & Sons, Inc., commonly known as Wiley (), is an American multinational publishing company founded in 1807 that focuses on academic publishing and instructional materials. The company produces books, journals, and encyclopedias, in print and electronically, as well as online products and services, training materials, and educational materials for undergraduate, graduate, and continuing education students. History The company was established in 1807 when Charles Wiley opened a print shop in Manhattan. The company was the publisher of 19th century American literary figures like James Fenimore Cooper, Washington Irving, Herman Melville, and Edgar Allan Poe, as well as of legal, religious, and other non-fiction titles. The firm took its current name in 1865. Wiley later shifted its focus to scientific, technical, and engineering subject areas, abandoning its literary interests. Wiley's son John (born in Flatbush, New York, October 4, 1808; died in East Orang ...
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Semantic Network
A semantic network, or frame network is a knowledge base that represents semantic relations between concepts in a network. This is often used as a form of knowledge representation. It is a directed or undirected graph consisting of vertices, which represent concepts, and edges, which represent semantic relations between concepts, mapping or connecting semantic fields. A semantic network may be instantiated as, for example, a graph database or a concept map. Typical standardized semantic networks are expressed as semantic triples. Semantic networks are used in natural language processing applications such as semantic parsing and word-sense disambiguation. Semantic networks can also be used as a method to analyze large texts and identify the main themes and topics (e.g., of social media posts), to reveal biases (e.g., in news coverage), or even to map an entire research field. History Examples of the use of semantic networks in logic, directed acyclic graphs as a mnemonic ...
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Concept Map
A concept map or conceptual diagram is a diagram that depicts suggested relationships between concepts. Concept maps may be used by instructional designers, engineers, technical writers, and others to organize and structure knowledge. A concept map typically represents ideas and information as boxes or circles, which it connects with labeled arrows, often in a downward-branching hierarchical structure but also in free-form maps. The relationship between concepts can be articulated in '' linking phrases'' such as "causes", "requires", "such as" or "contributes to". The technique for visualizing these relationships among different concepts is called ''concept mapping''. Concept maps have been used to define the ontology of computer systems, for example with the object-role modeling or Unified Modeling Language formalism. Differences from other visualizations * ''Topic maps'': Both concept maps and topic maps are kinds of knowledge graph, but topic maps were developed by ...
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Brian R
Brian (sometimes spelled Bryan in English) is a male given name of Irish and Breton origin, as well as a surname of Occitan origin. It is common in the English-speaking world. It is possible that the name is derived from an Old Celtic word meaning "high" or "noble". For example, the element ''bre'' means "hill"; which could be transferred to mean "eminence" or "exalted one". The name is quite popular in Ireland, on account of Brian Boru, a 10th-century High King of Ireland. The name was also quite popular in East Anglia during the Middle Ages. This is because the name was introduced to England by Bretons following the Norman Conquest. Bretons also settled in Ireland along with the Normans in the 12th century, and 'their' name was mingled with the 'Irish' version. Also, in the north-west of England, the 'Irish' name was introduced by Scandinavian settlers from Ireland. Within the Gaelic speaking areas of Scotland, the name was at first only used by professional families of I ...
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