Results 111 to 120 of about 17,373 (263)

Striving for Significance: Development and Validation of the Desire for Significance Scale

European Journal of Social Psychology, EarlyView.
ABSTRACT The need for personal significance (i.e., the desire for mattering, meriting respect and ‘being someone’) is a psychogenic need that guides a variety of human behaviours studied across multiple domains of social psychology. Despite its relevance, a validated measure of stable individual differences in the motivation to satisfy the need for ...
Erica Molinario, Andrey Elster, Iwona Dudek, Katarzyna Jasko, David Webber, Ewa Szumowska, N. Pontus Leander, Maximilian Agostini, Jannis Kreienkamp, Gilda Sensales, Gabriele Di Cicco, Luis C. Jaume, Molly Ellenberg, Dylan Wollschalger, Arie W. Kruglanski   +14 more
wiley   +1 more source

MARS‐Diff: Guarded Residual Diffusion for Leakage‐Disciplined Probabilistic Portfolio‐Loss Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT This paper develops Masked Asset–Regime Scenario Diffusion (MARS‐Diff), a leakage‐disciplined framework for probabilistic forecasting of multiday portfolio losses. The framework combines a regularized heterogeneous autoregressive model with exogenous predictors (HAR‐X) as its anchor, a train‐only masked representation of a high‐dimensional ...
Çağlar Sözen, Mervenur Sözen
wiley   +1 more source

Beyond Prediction: Data, Baselines, Explanation, and Causation in Machine Learning for Food Insecurity

Food Safety and Health, EarlyView.
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob, Azman Abdullah, Gunesh Kumar, Samreen Memon, Naila Afghan   +4 more
wiley   +1 more source

Using recurrent neural network to estimate irreducible stochasticity in human choice behavior

eLife
Theoretical computational models are widely used to describe latent cognitive processes. However, these models do not equally explain data across participants, with some individuals showing a bigger predictive gap than others.
Yoav Ger, Moni Shahar, Nitzan Shahar
doaj   +1 more source

Nonparametric Regression for Cost‐Effectiveness Analyses With Observational Data—A Tutorial

Health Economics, EarlyView.
ABSTRACT Healthcare decision‐making often requires selecting among multiple treatment options under budget constraints, particularly when one option is more effective but also more costly. Cost‐effectiveness analysis (CEA) provides a framework for evaluating whether the health benefits of a treatment justify its additional costs.
Jonas Esser, Mateus Maia, Judith E. Bosmans, Johanna Maria van Dongen   +3 more
wiley   +1 more source

The Structure of Informal Learning in the Workplace—An Experience Sampling Approach

Human Resource Development Quarterly, EarlyView.
ABSTRACT This paper complements retrospective approaches to researching informal learning in the workplace with experience sampling. Since (conscious) informal learning is becoming increasingly important for successfully keeping pace with rapid changes in working environments, a clear understanding of the construct and its precise measurement are ...
Katja Häußermann, Tina Seufert
wiley   +1 more source

Formative and Reflective Measurement Models in Workplace Learning Research: A Critical Review and Guidelines

Human Resource Development Quarterly, EarlyView.
ABSTRACT Quantitative empirical research in workplace learning regularly makes use of measurement instruments that operationalize theoretical constructs. However, in domains related to workplace learning, high levels of measurement model misspecifications—up to 62% of all cases—have been identified.
Josef Guggemos, Michael Goller
wiley   +1 more source

Estimation of Subtype‐Specific Tumour Growth Rate Distributions and Interval Cancer Proportions in Breast Cancer Using Biology‐Inspired Natural History Models

International Journal of Cancer, EarlyView.
ABSTRACT Breast cancer progression varies across molecular subtypes, influencing detection rates and prognosis. Differences in the proportion of interval cancers (PIC)—cancers detected symptomatically between scheduled screening rounds—have been observed across subtypes, likely reflecting heterogeneity in tumour growth dynamics. We applied a continuous‐
Letizia Orsini, Yuqi Zhang, Kamila Czene, Keith Humphreys   +3 more
wiley   +1 more source

Model Misspecification [PDF]

, 2015
Moosa, I., Burns, Kelly
openaire   +2 more sources

Asymmetric Long‐Run Effects of Monetary Policy on Generational Inequality

International Journal of Finance &Economics, EarlyView.
ABSTRACT This paper investigates the asymmetric long‐run effects of reversing contractionary monetary policy to expansionary policy on generational inequality in the UK using non‐linear autoregressive distributed lag (NARDL). The results show that there exists a long‐term relationship between monetary policy and income, consumption, and wealth ...
Aminat A. Raheem
wiley   +1 more source