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This authoritative volume presents a detailed analysis of the replication crisis and the use of questionable research practices (QRPs) in psychology, as well as recommended practices for combatting these problems. Ultimately, the book aims to provide a comprehensive, current, and accessible account of the adverse effects of QRPs. The replication crisis in psychology and allied fields has exposed critical flaws in the standard views of research methods, which allow for extensive flexibility in data analysis by investigators and permit the widespread use of QRPs. Chapters examine the intentional use of QRPs such as data fabrication and falsification, along with subtler, unintentional practices such as p-hacking and HARKING (hypothesizing after results are known). Drawing on the growing awareness of these problems, contributors also highlight potential strategies to detect QRPs and minimize their negative impact through open data practices, preregistration of hypotheses and analyses, and adversarial collaborations, in which investigators holding opposing positions on a scientific issue agree to work together on a study in an effort to counteract their respective biases. Among the topics covered: History of controversies in statistics and replication Embracing intellectual humility while designing research Confirmatory vs. exploratory analyses Publication bias and negative results Promoting honest and transparent report writing Avoiding Questionable Research Practices in Applied Psychology provides a deeper understanding of how QRPs impede the reliability and trustworthiness of findings in psychology and the social sciences. It will be a practical, useful resource for students and instructors in graduate and advanced undergraduate level research methods classes, along with psychological researchers interested in improving their own research. .

Technology assessment. --- Assessment of technology --- Technological forecasting --- Technological innovations --- Technology and civilization --- Technology and state --- Psychometrics. --- Psychology. --- Science --- Behavioral Sciences and Psychology. --- Philosophy of Science. --- Philosophy. --- Normal science --- Philosophy of science --- Behavioral sciences --- Mental philosophy --- Mind --- Science, Mental --- Human biology --- Philosophy --- Soul --- Mental health --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Measurement --- Scaling --- Methodology --- Psicologia aplicada --- Investigació psicològica --- Metodologia de la ciència

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This book provides researchers with an overview of rating scale analysis along with practical guidance on how to conduct such analyses with their own survey data. Author Stefanie A. Wind presents three categories of methods: Rasch models; non-Rasch Item Response Theory (IRT) models; and non-parametric models, together with practical examples.

Psychometrics --- Invariant measures --- Rasch models --- Psychology --- Social sciences --- Social surveys --- Statistical methods --- Community surveys --- Surveys, Social --- Surveys --- Item response theory --- Measures, Invariant --- Measure theory --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Research --- Measurement --- Scaling --- Methodology --- #SBIB:303H10 --- #SBIB:303H32 --- Methoden en technieken: algemene handboeken en reeksen --- Waarneming en participerende waarneming, gecontroleerde observatie, groepsdiscussie (vragenlijsten, interviews, experimenten) --- Mathematical statistics --- Psychometrics. --- Invariant measures. --- Rasch models. --- Social surveys. --- Statistical methods.

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The volume represents presentations given at the 86th annual meeting of the Psychometric Society, held virtually on July 19–23, 2021. About 500 individuals contributed paper presentations, symposiums, poster presentations, pre-conference workshops, keynote presentations, and invited presentations. Since the 77th meeting, Springer has published the conference proceedings volume from this annual meeting to allow presenters to share their work and ideas with the wider research community, while still undergoing a thorough review process. This proceedings covers a diverse set of psychometric topics, including item response theory, Bayesian models, reliability, longitudinal measures, and cognitive diagnostic models.

Psychometrics --- Quantitative research. --- Psychological tests. --- Mental tests --- Psychological assessment --- Tests, Psychological --- Psychology --- Testing --- Clinical psychology --- Educational tests and measurements --- Data analysis (Quantitative research) --- Exploratory data analysis (Quantitative research) --- Quantitative analysis (Research) --- Quantitative methods (Research) --- Research --- Methodology --- Psicometria --- Escales psicològiques --- Mesuraments mentals --- Mesuraments psicològics --- Escales (Ciències socials) --- Psicofisiologia --- Anàlisi factorial --- Escala multidimensional --- Metaanàlisi --- Tests i proves en educació --- Psicofísica --- Tests psicològics --- Statistics. --- Psychometrics. --- Applied Statistics. --- Quantitative Psychology. --- Methodology. --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Measurement --- Scaling

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This is the first technical book that considers tests as public tools and examines how to engineer and process test data, extract the structure within the data to be visualized, and thereby make test results useful for students, teachers, and the society. The author does not differentiate test data analysis from data engineering and information visualization. This monograph introduces the following methods of engineering or processing test data, including the latest machine learning techniques: classical test theory (CTT), item response theory (IRT), latent class analysis (LCA), latent rank analysis (LRA), biclustering (co-clustering), and Bayesian network model (BNM). CTT and IRT are methods for analyzing test data and evaluating students’ abilities on a continuous scale. LCA and LRA assess examinees by classifying them into nominal and ordinal clusters, respectively, where the adequate number of clusters is estimated from the data. Biclustering classifies examinees into groups (latent clusters) while classifying items into fields (factors). Particularly, the infinite relational model discussed in this book is a biclustering method feasible under the condition that neither the number of groups nor the number of fields is known beforehand. Additionally, the local dependence LRA, local dependence biclustering, and bicluster network model are methods that search and visualize inter-item (or inter-field) network structure using the mechanism of BNM. As this book offers a new perspective on test data analysis methods, it is certain to widen readers’ perspective on test data analysis. .

Estadística bayesiana --- Anàlisi de conglomerats --- Mineria de dades --- Tests i proves en educació --- Processament de dades --- Visualització de la informació --- Visualització científica --- Visualització de les dades --- Visualització --- Analítica visual --- Processament de dades electròniques --- Processament automàtic de dades --- Processament electrònic de dades --- Processament integrat de dades --- Sistematització de dades (Ordinadors) --- Tractament de dades --- Tractament electrònic de dades --- Tractament integrat de dades --- Automatització --- Informàtica --- Complexitat computacional --- Curació de dades --- Depuració (Informàtica) --- Estructures de dades (Informàtica) --- Gestió de bases de dades --- Informàtica mòbil --- Informàtica recreativa --- Intel·ligència artificial --- Sistemes en línia --- Temps real (Informàtica) --- Tractament del llenguatge natural (Informàtica) --- Processament òptic de dades --- Protecció de dades --- Transmissió de dades --- Tolerància als errors (Informàtica) --- Mesuraments en educació --- Mesuraments i proves educatives --- Proves en educació --- Tests en educació --- Psicometria --- Proves d'accés a la universitat --- Qualificacions (Ensenyament) --- Tests de lectura --- Avaluació dels alumnes --- Avaluació dels estudiants --- Tests --- Prospecció de dades --- Cerca en bases de dades --- Arquitectura orientada a serveis (Informàtica) --- Extracció de dades de llocs web --- Mineria de web --- Anàlisi de Cluster --- Anàlisi d'agrupaments --- Anàlisi espacial (Estadística) --- Anàlisi multivariable --- Correlació (Estadística) --- Estadística de Bayes --- Fórmula de Bayes --- Presa de decisions (Estadística bayesiana) --- Solució de Bayes --- Teorema de Bayes --- Teoria de la decisió estadística bayesiana --- Presa de decisions --- Data mining. --- Information visualization. --- Educational tests and measurements --- Bayesian statistical decision theory. --- Cluster analysis. --- Data processing. --- Correlation (Statistics) --- Multivariate analysis --- Spatial analysis (Statistics) --- Bayes' solution --- Bayesian analysis --- Statistical decision --- Data visualization --- Visualization of information --- Information science --- Visual analytics --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Social sciences --- Statistics. --- Political planning. --- Psychometrics. --- Machine learning. --- Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. --- Statistical Theory and Methods. --- Public Policy. --- Machine Learning. --- Statistical methods. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Planning in politics --- Public policy --- Planning --- Policy sciences --- Politics, Practical --- Public administration --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Measurement --- Scaling --- Methodology