Results 161 to 170 of about 237,552 (328)

Model‐Free Local Partial Correlation

open access: yesAustralian &New Zealand Journal of Statistics, EarlyView.
ABSTRACT In the simple linear regression context, partial correlation measures the linear association between two variables, with the linear effects of a third control variable removed. In this paper, we investigate the local partial correlation using a kernel smoothing approach.
Li‐Shan Huang   +2 more
wiley   +1 more source

“I can do math!”: A self‐regulated learning intervention to enhance math‐related motivational factors and performance in middle school

open access: yesBritish Journal of Educational Psychology, EarlyView.
Abstract Introduction Self‐regulated learning (SRL) interventions have been widely recognized for their potential to enhance students' academic achievement; however, their effects on math‐related motivational constructs remain less explored. This study investigated the impact of an SRL intervention on multiple math‐related motivational factors (math ...
Federica Granello   +4 more
wiley   +1 more source

An Introduction to Predictive Processing Models of Perception and Decision‐Making

open access: yesTopics in Cognitive Science, EarlyView., 2023
Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley   +1 more source

Quadratic Motion Polynomials with Irregular Factorizations. [PDF]

open access: yesAdv Appl Clifford Algebr
Thimm DA   +3 more
europepmc   +1 more source

Mathematics anxiety: Effects of age, gender and culture

open access: yesBritish Journal of Educational Psychology, EarlyView.
Abstract Background Many studies have indicated that mathematics anxiety is a significant problem for many people and is an important topic for research. Mathematics anxiety is multidimensional. In particular, it is important to distinguish between worry and emotionality components, and between trait and state anxiety.
Ann Dowker
wiley   +1 more source

An extension of the basic local independence model to multiple observed classifications

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi   +8 more
wiley   +1 more source

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