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State Trace Analysis


State Trace Analysis
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State Trace Analysis


State Trace Analysis
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Author : John C. Dunn
language : en
Publisher: Springer
Release Date : 2018-02-08

State Trace Analysis written by John C. Dunn and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-08 with Psychology categories.


This book provides an introduction to the theory, method, and practice of State-Trace Analysis (STA), and includes a detailed tutorial on the statistical analysis of state-trace designs. The book offers instructions on how to perform state-trace analysis using the authors' own publicly-available software in both Matlab and R. The book begins by discussing the general framework for thinking about the relationships between independent variables, latent variables, and dependent variables. Subsequent chapters provide a software package that can be used to fit state-trace models as well as additional designs and examples. The book concludes with a discussion on potential extensions of STA and additional aspects of its application. State-Trace Analysis will be of interest to researchers and graduate students working in experimental, applied, and cognitive psychology.



State Trace Analysis Of Associative Recognition


State Trace Analysis Of Associative Recognition
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Author : Nicholas Hamm
language : en
Publisher:
Release Date : 2014

State Trace Analysis Of Associative Recognition written by Nicholas Hamm and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Memory categories.


The aim of this thesis is to investigate competing explanations of the processes underlying associative recognition. Like recognition memory for individual items, associative recognition is currently understood through two different classes of model. The first is the single-process model class which holds that associative recognition decisions are based on a continuum of associative memory strength. The second is the dual-process model class, which holds that associative recognition decisions are based on two sources of information, called familiarity and recollection. Familiarity is conceptualised as a fast-acting, context-free 'feeling of knowing', while recollection is said to be a slower, more conscious process allowing for the recall of detail and context. Familiarity may play a role in associative recognition through a mechanism called unitisation, whereby two distinct stimuli are bound into a single individual memory trace. State-trace analysis is a method to determine the number of latent variables or processes that contribute to performance on a set of tasks, under mild assumptions. A critical diagnostic feature is the dimensionality of the state-trace plot - a plot of performance on one dependent variable against the other. If associative recognition depends on a single latent variable then manipulation of experimental factors affecting memory should result in a unidimensional state-trace plot. If associative recognition depends on two or more latent variables which are differentially affected by the experimental factors then a bidimensional state-trace will result. State-trace analysis therefore provides a method of discriminating a class of single-process models from a class of dual-process models. State-trace analysis was applied to associative recognition in four experiments. Each experiment utilised two independent variables that previous research had suggested could differentially affect familiarity and recollection. Experiment 1 investigated associative recognition of word pairs by manipulating attention and study presentation frequency. Experiments 2 investigated associative recognition of word pairs under conditions designed to encourage unitisation by pairing an encoding-based unitisation manipulation with a working memory load manipulation. Experiment 3 manipulated the same unitisation instructions as well as varying study time. Experiment 4 examined the effect of unitisation using pairs of faces and manipulated visual similarity and study time. State-trace analysis of the four experiments consistently revealed unidimensional state-trace plots. Using a recently developed monotonic regression statistical test, unidimensionality could not be rejected at either aggregate or individual participant level. Therefore, no evidence was found for the differential activation of familiarity and recollection in associative recognition. The results of this thesis are therefore consistent with a single-process account of associative recognition. These results also pose a challenge to dual-process models to identify alternate experimental manipulations that reveal the involvement of different component processes such as recollection and unitized familiarity.



Problems And Present State Of The Trace Analysis In The Atmosphere


Problems And Present State Of The Trace Analysis In The Atmosphere
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Author :
language : de
Publisher:
Release Date : 1976

Problems And Present State Of The Trace Analysis In The Atmosphere written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with categories.




On The Possibility Of Recalling Without Seeing


On The Possibility Of Recalling Without Seeing
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Author : William Roger Jones
language : en
Publisher:
Release Date : 2019

On The Possibility Of Recalling Without Seeing written by William Roger Jones and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.




Evaluation Of The Processes Involved In Recognition Memory Using State Trace Analysis Of Event Related


Evaluation Of The Processes Involved In Recognition Memory Using State Trace Analysis Of Event Related
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Author : Joshua Farwell Cohen
language : en
Publisher:
Release Date : 2010

Evaluation Of The Processes Involved In Recognition Memory Using State Trace Analysis Of Event Related written by Joshua Farwell Cohen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.


Abstract: Episodic recognition memory experiments attempt to determine the processes that underlie recognition (Mandler, 1980). Currently, there is a debate whether episodic recognition memory involves separate components of familiarity and recollection (i.e., the Dual Process Model) or a single process which involves varying degrees of confidence based on familiarity (i.e., the Single Process Model). Recollection and familiarity differ in the type of information they provide and also the extent to which each influences confidence (Yonelinas, Dobbins, Szymanski, Dhaliwal, & King, 1996). Familiarity is specifically assumed to reflect the assessment of quantitative memory strength information. Recollection is believed to reflect a threshold retrieval process whereby qualitative information about a previous event is retrieved (Yonelinas, 2002). In this paper, the validity of the single and dual process models will be assessed by testing the assumptions of the models using electrophysiological data (ERPs) from a recognition experiment. Previous recognition tests have relied on the use of dissociation logic as evidence of separate processes. The dissociations which showed the strongest support for a dual process are based on the flawed logic that physical variables and psychological variables are linearly related, and differences between these variables can be attributed to different underlying processes. In order to evaluate the number of processes involved in recognition, this paper proposes the use of a non-parametric statistical approach that looks to determine the number of underlying processes that are needed to account for a given set of data without making prior assumptions of a single or dual process model. It is a general method based on the premise that two dependent variables will covary with each other to the extent that they are affected by the same independent variable (Bamber, 1979). The results of the state-trace analysis of the electrophysiological data provide support for a single process model of recognition.



Handbook Of Trace Analysis


Handbook Of Trace Analysis
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Author : Irena Baranowska
language : en
Publisher: Springer
Release Date : 2015-08-13

Handbook Of Trace Analysis written by Irena Baranowska and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-13 with Science categories.


This handbook is unique in its comprehensive coverage of the subject and focus on practical applications in diverse fields. It includes methods for sample preparation, the role of certified reference materials, calibration methods and statistical evaluation of the results. Problems concerning inorganic and bioinorganic speciation analysis, as well as special aspects such as trace analysis of noble metals, radionuclides and volatile organic compounds are also discussed. A significant part of the content presents applications of methods and procedures in medicine (metabolomics and therapeutic drug monitoring); pharmacy (the analysis of contaminants in drugs); studies of environmental samples; food samples and forensic analytics – essential examples that will also facilitate problem solving in related areas.



Crime Gun Trace Analysis Reports


Crime Gun Trace Analysis Reports
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Author :
language : en
Publisher:
Release Date : 1997

Crime Gun Trace Analysis Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Black market categories.




Spectroscopic Methods Of Trace Analysis


Spectroscopic Methods Of Trace Analysis
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Author : James Lewis Seeley
language : en
Publisher:
Release Date : 1973

Spectroscopic Methods Of Trace Analysis written by James Lewis Seeley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Spectrum analysis categories.




Advanced Trace Analysis


Advanced Trace Analysis
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Author : Susanta Lahiri
language : en
Publisher: ALPHA SCIENCE INTERNATIONAL LIMITED
Release Date : 2009-12-03

Advanced Trace Analysis written by Susanta Lahiri and has been published by ALPHA SCIENCE INTERNATIONAL LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-03 with Science categories.


Advanced Trace Analysis in six chapters, by eminent scientists, discusses statistical approaches to verify trace element analysis data, trace analysis techniques like ICPMS and XRF, ion beam analysis techniques, speciation analysis of uranium relevant to waste disposal and management along with the use of greener techniques for trace elemental speciation analysis.



Organic Trace Analysis


Organic Trace Analysis
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Author : Reinhard Nießner
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-09-23

Organic Trace Analysis written by Reinhard Nießner and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-23 with Technology & Engineering categories.


Organic contaminants even in very low concentrations can have toxic and ecotoxic effects on exposed organisms. Detection and quantification of such trace amounts in diverging matrices (e.g., water, air, soil, food, tissue, organisms) is challenging and great carefulness and strategic thinking is needed to get reliable results along the way from taking samples up to the final analysis. In the 2nd edition, besides revisions of existing chapters, new analytical technologies and recent application examples are presented: non-target mass spectrometric analysis, trace analysis of per- and polyfluoroalkylated "forever chemicals", organophosphorus esters (nerve agents), and micro- and nanoplastic particles in the environment. Students will learn about peculiarities and state of the art organic trace analysis and acquire basic and advanced principles of statistical evaluation of analytical results quality control strategies and good laboratory practices sampling techniques from various matrices sample treatment, enrichment and clean-up techniques chromatographic analyses including hyphenated techniques, and spectroscopy as well mass spectrometry and bioanalytical tools. An extended chapter on selected applications will transfer the theoretical understanding into applied scientific problems. Students will profit from a comprehensive and state of the art overview of organic trace analyses and from an extensive collection of relevant literature.