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Books on the topic 'Psychometric validation'

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1

Krüger, Christina. The state scale of dissociation: Development, psychometric validation, and application in a study of concurrent electro-encephalographic correlates. [s.l.]: typescript, 1998.

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2

Apasova, Ekaterina, Nikita Kochetkov, Irina Kulagina, Mariya Nikitskaya, Alla Pogodina, Marina Rashodchikova, Nataliya Tolstyh, Irina Uglanova, and Valeriy Fedorov. Educational motivation: development of methodological tools. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/2055741.

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The monograph analyzes the history and current state of domestic and foreign psychological research in the field of educational motivation. The process of creating new methods for diagnosing the educational motivation of schoolchildren of different ages, as well as the procedures and results of psychometric verification and validation of these methods, is described. The application includes four new methods of studying educational motivation, which were developed by the authors. It is addressed to students studying at psychological faculties, research psychologists, as well as teachers, school psychologists and other practitioners dealing with the education and upbringing of the younger generation.
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3

G, Schiflett Samuel, ed. Scaled worlds: Development, validation, and applications. Aldershot, UK: Ashgate, 2004.

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4

Spear, Hugh M. Psychometric test validation in selection. NELP, 1988.

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5

Levinson, Joyce Carol. The validation of psychometric indicators of schizotypy. 1986.

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6

Tawab, Rauja Abdel. Development and psychometric validation of a framework for medication-related consultations. 2005.

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7

Catalano, Amy J. Streamlining LIS Research. ABC-CLIO, LLC, 2016. http://dx.doi.org/10.5040/9798216019978.

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This collection of the best library research instruments will help you to streamline efforts and save time when researching. Surprisingly, instruction in library science rarely includes in-depth training on research methods, instrument selection, or test creation—leaving many librarians struggling when it comes to validating their own work. To bridge this gap, this professional's guide houses the leading library research instruments in use for the past 15 years, providing one-page evaluations to help expedite your research validation. The work features a variety of tests—such as the Beile Test of Information Literacy for Educators, Project SAILS, and the Library Anxiety Scale—and contains full text of each test when available. You'll learn essential details about the instrument, including the source, a description of its purpose, the development and validation of the test, its administrative procedure, and its psychometric properties where applicable. The book begins with a chapter on evaluating tests and other instruments, followed by a primer on establishing validity and reliability. Throughout the work, you'll tap into leading tests in the field, learn where they have been utilized, and gain access to contact information for the test authors. Topics covered include information literacy, library anxiety, service evaluation, services and library use, information-seeking behavior, and resource evaluation.
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8

Alexandrova, Anna. Psychometrics as Theory Avoidance. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199300518.003.0006.

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In theory construct validation secures good measurement by balancing all available evidence. But does it do so in practice? This chapter argues that validation of well-being scales as currently practiced is unduly selective about what evidence counts. It is not enough to check whether a measure correlates with other measures and indicators that background theory deems relevant if this background theory does not include normative and conceptual considerations about the nature of well-being. In this sense psychometrics commits theory avoidance. Its root is a disciplinary convention of evidential subjectivism, which reduces the big philosophical questions to technical exercises in statistics and factor analysis or reformulates them as reports of subjects’ opinions. To overcome these problems philosophical considerations need to be given a more central place in validation.
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9

Scaled Worlds: Development, Validation and Applications. Ashgate Pub Ltd, 2004.

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10

Ewen, Joshua B., and Sándor Beniczky. Validating Biomarkers and Diagnostic Tests in Clinical Neurophysiology. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0009.

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There has been an explosion in the development of electroencephalogram (EEG)-based biomarkers and clinical tests. This upsurge is likely due to an increase in therapies rooted in biological mechanisms rather than behavioral descriptions, as well as to the democratization of computational power and the lower cost of EEG compared with competing methodologies. This increase in motivation and opportunity demands an increased responsibility for proper validation studies. Fields including laboratory medicine and psychometrics have paved the way for rigorous validation methodology. This chapter reviews a systematic methodology for biomarker/clinical test validation, translating approaches from other fields to the specific characteristics of EEG-based metrics. A checklist is provided to help readers design high-quality diagnostic validation studies of EEG-based biomarkers.
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11

Springer, David W., Neil Abell, and Akihito Kamata. Developing and Validating Rapid Assessment Instruments. Oxford University Press, 2009.

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12

Kendler, Kenneth S., and Josef Parnas, eds. Philosophical Issues in Psychiatry IV. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198796022.001.0001.

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This book contains, in addition to an introduction, sixteen chapters, each with its own introduction and discussion, that review various issues within psychiatric nosology from clinical, historical and particularly philosophical perspectives. The contributors to this book include major psychiatric researchers, clinicians, historians and especially nosologists (including several leaders of the DSM-5 effort and the DSM Steering Committee that will be guiding future revisions in DSM for the foreseeable future), psychologists with a special interest in psychiatric nosology and philosophers with a wide range of orientations. The book is organized into four major sections. The first explores the nature of psychiatric illness and the ways in which define it including clinical and psychometric perspectives. The second section examines problems in the reification of psychiatric diagnostic criteria, the problem of psychiatric epidemics and the nature and definition of individual symptoms. The third session explores the concept of epistemic iteration as a possible governing conceptual framework for the revision efforts for official psychiatric nosologies such as DSM and ICD and the problems of validation of psychiatric diagnoses. The final session explores how we might move from the descriptive to the etiologic in psychiatric diagnoses, the nature of progress in psychiatric research and the possible benefits of moving to a living document (or continuous improvement) model for psychiatric nosologic systems. The organization of the book—with its introduction and comments—well captures the dynamic cross-disciplinary interactions that characterize the best work in the philosophy of psychiatry.
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13

Erbin-Roesemann, Marla Ann. VALIDATION OF THE WORK EXCITEMENT AND THE WORK LOCUS OF CONTROL INSTRUMENTS. 1995.

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14

Ross, Carolyn Jean Mary. VALIDATION OF THE MILLER BEHAVIORAL STYLE SCALE (BEHAVIORAL STYLE, COGNITIVE INFORMATIONAL STYLE). 1993.

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15

Berger, Petra Shane. VALIDATION OF THE TREATMENT RISK FACTOR INVENTORY AS AN OUTCOME MEASURE IN PSYCHIATRY (RISK). 1990.

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16

Selth, Catherine. DEVELOPMENT OF THE BEHAVIORAL OBSERVATION OF DEPRESSION IN THE ELDERLY SCALES (THE BODES) AND VALIDATION OF A VISUAL ANALOGUE SCALE OF DEPRESSION WITH ELDERLY NURSING HOME RESIDENTS. 1990.

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17

Haladyna, Thomas M., and Michael C. Rodriguez. Developing and Validating Test Items. Taylor & Francis Group, 2013.

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18

Haladyna, Thomas M., and Michael C. Rodriguez. Developing and Validating Test Items. Taylor & Francis Group, 2013.

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19

Haladyna, Thomas M., and Michael C. Rodriguez. Developing and Validating Test Items. Taylor & Francis Group, 2013.

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20

Haladyna, Thomas M., and Michael C. Rodriguez. Developing and Validating Test Items. Taylor & Francis Group, 2013.

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21

Haladyna, Thomas M., Michael C. Rodriguez, and Steven M. Downing. Developing and Validating Test Items. Taylor & Francis Group, 2013.

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22

Haladyna, Thomas M., and Michael C. Rodriguez. Developing and Validating Test Items. Taylor & Francis Group, 2013.

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23

Haladyna, Thomas M., and Michael C. Rodriguez. Developing and Validating Test Items. Taylor & Francis Group, 2013.

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24

Streiner, David L., Geoffrey R. Norman, and John Cairney. Ethical considerations. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199685219.003.0014.

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Although studies of the psychometric properties of scales do not have the same ethical challenges as those involving interventions, there are still areas that researchers need to be sensitive to. These include issues such as informed consent, especially with vulnerable populations, and deception. This chapter also discusses confidentiality, and when this can be breached for legal reasons. It also returns to the issue of consequential validity and the ethical issues that may arise when minority or disadvantaged groups attain scores that are different from those of the majority population. This chapter discusses these and other ethical problems that may arise within the context of developing and validating scales.
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25

Developing and Validating Test Items. Routledge, 2013.

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26

Developing and Validating Test Items. Taylor & Francis Group, 2013.

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