Search results for "Predictive power"

The Relationship between Emotion Regulation and Emotion Knowledge in Preschoolers: A Longitudinal Study

2020

Numerous studies have shown the important role of both emotion regulation (ER) and emotion knowledge (EK) in child development. Despite the number of studies carried out on both variables, there is practically no research on the developmental relationship between these two constructs. We present a longitudinal study to explore the relationship between EK and ER in preschoolers in which we measured these variables over 3 academic years in a cohort of 108 preschool children using the Test of Emotion Comprehension (TEC) and the Emotion Regulation Checklist (ERC). The ERC is divided into 2 subscales: Emotional Regulation (ER) and Lability/Negativity (L/N). Two cross-lagged models were construct…

Early phonological skills as a predictor of reading acquisition: a follow-up study from kindergarten to the middle of grade 2.

2003

The purpose of this study was to investigate the power of early measures of phonological skills (phonemic awareness, rapid naming, short-term memory) in predicting later reading skills at various points of time. About 70 children were followed from the end of kindergarten to the middle of grade 2. Correlation analyses were performed as well as a linear growth curve analyses. In the traditional regression analysis, phonemic awareness in kindergarten explained about 27% of the variance in word reading six months later and about 9.5% of the variance at the end of grade 1. Even when prior level of reading skill was included in the predictive equation, a significant amount of variance was still …

What makes working memory spans so predictive of high-level cognition?

2005

Working memory (WM) span tasks involving a complex activity performed concurrently with item retention have proven to be good predictors of high-level cognitive performance. The present study demonstrates that replacing these complex self-paced activities with simpler but computer-paced processes, such as reading successive letters, yields more predictive WM span measures. This finding suggests that WM span tasks evaluate a fundamental capacity that underpins complex as well as elementary cognitive processes. Moreover, the higher predictive power of computer-paced WM span tasks suggests that strategic factors do not contribute to the relationship between WM spans and high-level cognition.

Applying the Bass model to pharmaceuticals in emerging markets

2014

Albeit the Bass model was not designed for predicting sales of newly launched drugs, pharmaceutical companies commonly use it for this purpose, mainly because of its good predictive power. Empirical experience, however, mainly refers to mature markets and it is unclear how the model behaves in emerging markets. We try to fill this gap in the literature by comparing the estimation results of the Bass model between emerging markets and mature markets in a big dataset including more than 5,000 new launches from different countries. Our results show a good performance of the model in emerging markets. Compared to mature markets the estimated parameters on average are the same, but there is a h…

Forecasting the Equity Risk Premium in the European Monetary Union

2018

This article examines the performance of several variables that could be good predictors of the equity risk premium in the European Monetary Union for a period that spans from 2000 to 2015. In-sample, technical indicators display predictive power, matching or exceeding that of traditional economic forecasting variables. We also find consistent results in the fact that combining information from technical and economic variables improves equity risk premium forecasts, compared to using these variables alone. Nevertheless, out-of-sample exercises do not confirm in-sample results. Economic predictors show stronger out-of-sample forecasting ability than technical indicators, and apart from volum…

CORPORATE BANKRUPTCY AND INSOLVENCY PREDICTION MODEL

2021

In any competitive economy, the risk of bankruptcy is pervasive. The research aims to contribute in improving the predictive power of bankruptcy and insolvency risk among companies by introducing new methods of processing and validation. This paper investigates the extensive application of the Z score model for predicting the economic-financial stability of Romanian companies in the manufacturing and extractive industries. A list of 37 financial indicators determined on the basis of the balance sheet data of 80 companies for the period 2015–2018 was used. Stepwise Least Squares Estimation through the Forward method allowed the identification of the most relevant ones. Canonical discriminant…

Factores predictores del compromiso docente en escuelas públicas peruanas: un modelo estructural

2016

Teachers´ engagement in change processes is closely related to their attitudes and views on education. Therefore, any successful educational change demands that teachers reevaluate their profession, as personal and professional factors are clearly relevant. The goal of this study is to test a predictive statistical model of teacher´s engagement in educational change considering personality factors and self-evaluation. The random and representative sample of Peruvian teachers comprised of 888 subjects. Results show good model fit and a strong predictive power on educational changes. The study confirms that personality and selfconcept are strong predictors on teacher´s engagement with educati…

Formulation predictive dissolution (fPD) testing to advance oral drug product development: an introduction to the US FDA funded ‘21st Century BA/BE’ …

2018

Over the past decade, formulation predictive dissolution (fPD) testing has gained increasing attention. Another mindset is pushed forward where scientists in our field are more confident to explore the in vivo behavior of an oral drug product by performing predictive in vitro dissolution studies. Similarly, there is an increasing interest in the application of modern computational fluid dynamics (CFD) frameworks and high-performance computing platforms to study the local processes underlying absorption within the gastrointestinal (GI) tract. In that way, CFD and computing platforms both can inform future PBPK-based in silico frameworks and determine the GI-motility-driven hydrodynamic impac…

Psychometric properties of the parental bonding instrument in a Spanish sample.

1993

The Parental Bonding Instrument was translated into Spanish and administered to a sample of 205 Spanish primiparae 3 days after childbirth. Reliability, factorial structure and predictive validity for affective disorders were evaluated. The Spanish version of the PBI has psychometric features similar to those described in other cultures. However, the results suggest that in future research the predictive power of the “Control” factor in affective disorders might be improved by splitting it into two subfactors: “Overprotection” and “Restraint”.

2021

ObjectivesTo assess the ability to predict individual unfavourable future status and development in the 20m shuttle run test (20MSRT) during adolescence with machine learning (random forest (RF) classifier).MethodsData from a 2-year observational study (2013‒2015, 12.4±1.3 years, n=633, 50% girls), with 48 baseline characteristics (questionnaires (demographics, physical, psychological, social and lifestyle factors), objective measurements (anthropometrics, fitness characteristics, physical activity, body composition and academic scores)) were used to predict: (Task 1) unfavourable future 20MSRT status (identification of individuals in the lowest 20MSRT tertile after 2 years), and (Task 2) u…