Pengaruh Kemampuan Verbal dan Kemampuan Numerik Terhadap Kemampuan Menyelesaikan Soal Sistem Persamaan Linear Bentuk Cerita

This study aims to determine the effect of verbal ability and numerical ability, the effect of verbal ability, and the effect of numerical ability on the ability of solving linear equation system problems. This study is an ex post facto research. The population of this study were students of class XI SMAN 9 Mataram. The sample in this study were 28 students of class XI SMAN 9 Mataram represented by four students in each class. The data analysis used is multiple linear regression analysis and simple linear regression analysis. From the results of the data analysis, there is a significant influence between verbal ability and numerical ability on the ability to solve linear equation system problems with a value of Fhitung = 3,660 > Ftabel = 3,39. The magnitude of this influence is written in the form of a regression equation, namely Y = 24,602 + 0,140X1 + 0,224X2. This regression equation shows that if the verbal ability score increases by 1 with a fixed numerical ability score, then the ability to solve math problems will increase by 0,140; and if the numerical ability score increases by 1 with a fixed verbal ability score, the value of the ability to solve story questions will increase by 0,225 and plus 24,602 from other factors.

Age differences in COVID-19 risk-taking, and the relationship with risk attitude and numerical ability

This study aimed to investigate age differences in risk-taking concerning the coronavirus pandemic, while disentangling the contribution of risk attitude, objective risk and numeracy. We tested (i) whether older and younger adults differed in taking coronavirus-related health risks, (ii) whether there are age differences in coronavirus risk, risk attitude and numerical ability and (iii) whether these age differences in coronavirus risk, attitude and numerical ability are related to coronavirus risk-taking. The study was observational, with measures presented to all participants in random order. A sample of 469 participants reported their coronavirus-related risk-taking behaviour, objective risk, risk attitude towards health and safety risks, numerical ability and risk perception. Our findings show that age was significantly related to coronavirus risk-taking, with younger adults taking more risk, and that this was partially mediated by higher numeracy, but not objective risk or risk attitude. Exploratory analyses suggest that risk perception for self and others partially mediated age differences in coronavirus risk-taking. The findings of this study may better our understanding of why age groups differ in their adoption of protective behaviours during a pandemic and contribute to the debate whether age differences in risk-taking occur due to decline in abilities or changes in risk attitude.

Individual Differences in Children’s Scientific Reasoning

Scientific reasoning is an important skill that encompasses hypothesizing, experimenting, inferencing, evaluating data and drawing conclusions. Previous research found consistent inter- and intra-individual differences in children’s ability to perform these component skills, which are still largely unaccounted for. This study examined these differences and the role of three predictors: reading comprehension, numerical ability and problem-solving skills. A sample of 160 upper-primary schoolchildren completed a practical scientific reasoning task that gauged their command of the five component skills and did not require them to read. In addition, children took standardized tests of reading comprehension and numerical ability and completed the Tower of Hanoi task to measure their problem-solving skills. As expected, children differed substantially from one another. Generally, scores were highest for experimenting, lowest for evaluating data and drawing conclusions and intermediate for hypothesizing and inferencing. Reading comprehension was the only predictor that explained individual variation in scientific reasoning as a whole and in all component skills except hypothesizing. These results suggest that researchers and science teachers should take differences between children and across component skills into account. Moreover, even though reading comprehension is considered a robust predictor of scientific reasoning, it does not account for the variation in all component skills.

Pengaruh Kemampuan Verbal dan Kemampuan Numerik Terhadap Kemampuan Menyelesaikan Soal Matematika

This study aims to determine the effect of verbal ability and numerical ability on the ability to solve math problems, to determine the effect of verbal ability on the ability to solve math problems, and to determine the effect of numerical abilities on the ability to solve math problems of class VIII students of SMP Negeri 3 Lingsar. This type of research is quantitative. The population of this study student of class VIII SMP Negeri 3 Lingsar. The sampling technique used cluster random sampling so that the sample was obtained by class VIII-A. The data analysis used was multiple linear regression analysis and simple linear regression analysis. From the results of the data analysis, there is a significant influence between verbal ability and numerical ability on the ability to solve math problems of class VIII students of SMP Negeri 3 Lingsar in the 2019/2020 school year and there is a significant influence between numerical abilities on students' ability to solve math problems. But there is no significant effect between verbal ability on the ability to solve math problems of class VIII students of SMP Negeri 3 Lingsar in the 2019/2020 school year.

Investigating the Dimensionality of Early Numeracy Using the Bifactor Exploratory Structural Equation Modeling Framework

The few studies that have analyzed the factorial structure of early number skills have mainly used confirmatory factor analysis (CFA) and have yielded inconsistent results, since early numeracy is considered to be unidimensional, multidimensional or even underpinned by a general factor. Recently, the bifactor exploratory structural equation modeling (bifactor-ESEM)—which has been proposed as a way to overcome the shortcomings of both the CFA and the exploratory structural equation modeling (ESEM)—proved to be valuable to account for the multidimensionality and the hierarchical nature of several psychological constructs. The present study is the first to investigate the dimensionality of early number skills measurement through the application of the bifactor-ESEM framework. Using data from 644 prekindergarten and kindergarten children (4 to 6 years old), several competing models were contrasted: the one-factor CFA model; the independent cluster model (ICM-CFA); the exploratory structural equation modeling (ESEM); and their bifactor counterpart (bifactor-CFA and bifactor-ESEM, respectively). Results indicated acceptable fit indexes for the one-factor CFA and the ICM-CFA models and excellent fit for the others. Among these, the bifactor-ESEM with one general factor and three specific factors (Counting, Relations, Arithmetic) not only showed the best model fit, but also the best coherent factor loadings structure and full measurement invariance across gender. The bifactor-ESEM appears relevant to help disentangle and account for general and specific factors of early numerical ability. While early numerical ability appears to be mainly underpinned by a general factor whose exact nature still has to be determined, this study highlights that specific latent dimensions with substantive value also exist. Identifying these specific facets is important in order to increase quality of early numerical ability measurement, predictive validity, and for practical implications.

EXPRESS: Do Nudges Reduce Disparities? Choice Architecture Compensates for Low Consumer Knowledge

Choice architecture tools, commonly known as nudges, powerfully impact decisions and can improve welfare. Yet it is unclear who is most impacted by nudges. If nudge effects are moderated by socioeconomic status (SES), these differential effects could increase or decrease disparities across consumers. Using field data and several pre-registered studies, we demonstrate that consumers with lower SES, domain knowledge, and numerical ability are impacted more by a wide variety of nudges. As a result, “good nudges” designed to increase selection of superior options reduced choice disparities, improving choices more among consumers with lower SES, financial literacy, and numeracy than among those with higher levels of these variables. Compared to “good nudges”, “bad nudges” designed to facilitate selection of inferior options exacerbated choice disparities. These results generalized across real retirement decisions, different nudges, and different decision domains. Across studies, we tested different explanations of why SES, domain knowledge, and numeracy moderate nudges. Our results suggest that nudges are a useful tool for those who wish to reduce disparities. We discuss implications for marketing firms and segmentation.

STUDENT'S NUMERICAL ABILITY PROFILE REVIEWED BY GENDER

The purpose of this study is to describe the numerical abilities of male and female students in grade VIII of SMP Negeri 10 Kendari; and to analyze the differences in numerical abilities of male and female students in grade VIII of SMP Negeri 10 Kendari. This type of research is quantitative descriptive research with the population in this study is all grade VIII students of SMP Negeri 10 Kendari which number 157 students. Sampling using total sampling techniques selected a sample of 157 students as well. Data collection techniques use students' numerical ability tests. Based on the results of the data analysis and discussion obtained conclusions: (1) numerical ability reviewed gender for grade VIII students of State Junior High School 10 Kendari is in the low category of both male and female students; (2) no difference in the numerical ability of Grade VIII students of SMP Negeri 10 Kendari is reviewed by gender.

A study on verbal and numerical reasoning aptitude of college going students

Aptitude is a pronounced innate capacity or ability in a given line of endeavor such as a particular art, subject or vocation. The present study was done by using the Differential Aptitude Test (DAT) developed by George et al. (1947). The randomly selected sample consisted of 120 boys & girls from all four basic faculties like Arts, Commerce, Science and Home Science in the age range 15 to 25 years. The findings of the study denoted that the verbal reasoning ability of Science students was comparatively higher than all other faculty students. The numerical ability of Commerce students reflected very low in comparison with the Home Science, Arts and Science students. There was a positive and significant correlation between the faculties of the students and their gender in verbal reasoning ability. The numerical ability of the students in the various faculty had significant negative correlation between the gender (-0.240) and family size (-0.205).