scholarly journals Developmental Relations between Mathematics Anxiety, Symbolic Numerical Magnitude Processing, and Arithmetic Skills from First to Second Grade

2021 ◽  
Author(s):  
Riikka Mononen ◽  
Markku Niemivirta ◽  
Johan Korhonen ◽  
Marcus Lindskog ◽  
Anna Tapola
Keyword(s):  
Mathematics Anxiety ◽  
Performance Test ◽  
Longitudinal Research ◽  
Rank Order ◽  
Change Score ◽  
Mathematics Performance ◽  
Numerical Magnitude ◽  
Magnitude Processing ◽  
And Gender ◽  
Over Time

We investigated the levels and changes in mathematics anxiety (MA), symbolic numerical magnitude processing (SNMP) and arithmetic skills, and how those changes are linked to each other. Children’s (n = 264) MA, SNMP and arithmetic skills were measured in Grade 1, and again in Grade 2, including also a mathematics performance test. All three constructs correlated significantly within each time point, and the rank-order stability over time was high, particularly in SNMP and arithmetic skills. By means of latent change score modeling, we found overall increases in SNMP and arithmetic skills over time, but not in MA. Most interestingly, changes in arithmetic skills and MA were correlated (i.e., steeper increase in arithmetic skills was linked with less steep increase in MA), as were changes in SNMP and arithmetic skills (i.e., improvement in SNMP was associated with improvement in arithmetic skills). Only the initial level of arithmetic skills and change in it predicted mathematics performance. The only gender difference, in favour of boys, was found in SNMP skills. The differential effects associated with MA (developmentally only linked with arithmetic skills) and gender (predicting only changes in SNMP) call for further longitudinal research on the different domains of mathematical skills.

scholarly journals Patterns of Symbolic Numerical Magnitude Processing and Working Memory as Predictors of Early Mathematics Performance

2020 ◽  
Author(s):  
Riikka Mononen ◽  
Markku Niemivirta
Keyword(s):  
Working Memory ◽  
Cognitive Skills ◽  
Latent Class ◽  
First Graders ◽  
Mathematics Performance ◽  
Group Differences ◽  
Numerical Magnitude ◽  
Word Problem Solving ◽  
Magnitude Processing ◽  
Explained Variance

Although the roles of symbolic numerical magnitude processing (SNMP) and working memory (WM) in mathematics performance are well acknowledged, studies examining their joint effects are few. Here, we investigated the profiles of SNMP (1- and 2-digit comparison) and WM (verbal, visual and central executive) among Norwegian first graders (N = 256), and how these predict performance in counting, arithmetic facts and word problem solving. Using latent class cluster analysis, four groups were identified: 1) weak SNMP (33.6%), 2) strong SNMP (25.8%), 3) weak SNMP and WM (23.4%) and 4) strong WM (17.2%). Group differences in mathematics performance were significant with explained variance ranging from 7% to 16%, even after controlling for relevant demographics and domain-general cognitive skills. Our findings suggest that children may display relative strengths in SNMP and WM, and that they both have a unique, even compensatory role in mathematics performance.

scholarly journals Shaping the Development of Prejudice

2016 ◽  
Vol 42 (12) ◽  
pp. 1617-1634 ◽  
Author(s):  
Christopher Bratt ◽  
Jim Sidanius ◽  
Jennifer Sheehy-Skeffington
Keyword(s):  
Social Dominance ◽  
Longitudinal Research ◽  
Rank Order ◽  
Social Dominance Orientation ◽  
Latent Growth ◽  
Cross Sectional ◽  
Data Set ◽  
American University ◽  
Wave Data ◽  
Over Time

Social dominance orientation (SDO) has been theorized as a stable, early-emerging trait influencing outgroup evaluations, a view supported by evidence from cross-sectional and two-wave longitudinal research. Yet, the limitations of identifying causal paths with cross-sectional and two-wave designs are increasingly being acknowledged. This article presents the first use of multi-wave data to test the over-time relationship between SDO and outgroup affect among young people. We use cross-lagged and latent growth modeling (LGM) of a three-wave data set employing Norwegian adolescents (over 2 years, N = 453) and a five-wave data set with American university students (over 4 years, N = 748). Overall, SDO exhibits high temporal rank-order stability and predicts changes in outgroup affect. This research represents the strongest test to date of SDO’s role as a stable trait that influences the development of prejudice, while highlighting LGM as a valuable tool for social and political psychology.

The Relevance of Women’s Economic Marginalization to Recidivism

2021 ◽  
pp. 009385482110395
Author(s):  
Merry Morash ◽  
Deborah A. Kashy
Keyword(s):  
Longitudinal Research ◽  
Theory And Practice ◽  
Criminogenic Needs ◽  
Women's Lives ◽  
Final Interview ◽  
Economic Marginalization ◽  
And Gender ◽  
Definition Of ◽  
Gender Specific ◽  
Over Time

This study examines whether changes over time in women’s criminogenic needs, particularly their financial needs, predict recidivism. In a 9-year longitudinal study, 304 women were interviewed repeatedly during 4.5 years after probation/parole began. Women provided data on both their gender-specific and gender-neutral criminogenic needs. Women’s average standing on each need and an index of their change in the need over time were computed and used to predict subsequent recidivism over the 3.4 years after the final interview. Women whose financial needs decreased were less likely to be rearrested and convicted relative to other women. The findings highlight the importance of considering a multifaceted and gender-specific definition of economic marginalization in both theory and practice. At the policy level, there is a need to reduce justice-involved women’s financial needs. In addition, further longitudinal research should be conducted to understand how different type of changes in women’s lives impact recidivism.

PROFIL KEMAMPUAN BERPIKIR KREATIF SISWA SEKOLAH MENENGAH PERTAMA DITINJAU DARI TINGKAT KECEMASAN MATEMATIKA DAN JENDER

2019 ◽  
Vol 20 (1) ◽  
pp. 69
Author(s):  
Endang Wahyuningrum ◽  
Disti Pratiwi ◽  
Sandra Sukmaning Adji
Keyword(s):  
High School Students ◽  
Junior High School ◽  
Mathematics Anxiety ◽  
Creative Thinking ◽  
Female Student ◽  
Math Anxiety ◽  
Male Student ◽  
Thinking Skills ◽  
School Students ◽  
And Gender

The purpose of this study was to describe the creative thinking skills of junior high school students based on mathematics anxiety and gender. Aspects of creative thinking skills used in this study are fluency, flexibility, and novelty. This research is a qualitative descriptive study. The instruments used were open-ended questions consisting of algebra and geometry questions, mathematics anxiety questionnaires, and interview guidelines. The study was conducted in class IX E of SMPI Al Azhar 12 Rawamangun Jakarta. The subject of this study consisted of four students, they are male student with low mathematics anxiety, female student with low mathematics anxiety, male student with medium mathematics anxiety, and female student with medium mathematics anxiety. The results of the mathematics anxiety questionnaire showed that none of the students in class IX E had high math anxiety. There are differences in the fulfillment of aspects of creative thinking in terms of differences in mathematics anxiety and gender levels. Students with low math anxiety fulfill aspects of fluency, flexibility, and novelty in algebra and geometry questions. Students with medium math anxiety fulfill aspects of fluency and flexibility both in algebra and geometry questions. Female students fulfill aspects of fluency, flexibility, and novelty both in algebra and geometry questions. Male students fulfill aspects of fluency and flexibility in algebra questions, while in geometry questions the aspects that are fulfilled are fluency, flexibility, and novelty.

Conventions and temporal differences in painted faces: A study of posture and color distribution

2020 ◽  
Vol 2020 (11) ◽  
pp. 267-1-267-8
Author(s):  
Mitchell J.P. van Zuijlen ◽  
Sylvia C. Pont ◽  
Maarten W.A. Wijntjes
Keyword(s):  
Scientific Community ◽  
Human Face ◽  
Art Galleries ◽  
Art Collections ◽  
Color Distribution ◽  
Scientific Domain ◽  
The Face ◽  
And Gender ◽  
Changes Over Time ◽  
Over Time

The human face is a popular motif in art and depictions of faces can be found throughout history in nearly every culture. Artists have mastered the depiction of faces after employing careful experimentation using the relatively limited means of paints and oils. Many of the results of these experimentations are now available to the scientific domain due to the digitization of large art collections. In this paper we study the depiction of the face throughout history. We used an automated facial detection network to detect a set of 11,659 faces in 15,534 predominately western artworks, from 6 international, digitized art galleries. We analyzed the pose and color of these faces and related those to changes over time and gender differences. We find a number of previously known conventions, such as the convention of depicting the left cheek for females and vice versa for males, as well as unknown conventions, such as the convention of females to be depicted looking slightly down. Our set of faces will be released to the scientific community for further study.

scholarly journals Presence and Levels of Resilience and Its Sociodemographic Correlates in Older Chinese Americans

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 389-389
Author(s):  
Jieyang Zheng ◽  
Dexia Kong ◽  
Mengting Li ◽  
XinQi Dong
Keyword(s):  
Older Adults ◽  
Longitudinal Research ◽  
Rank Order ◽  
Chinese Americans ◽  
Research Approach ◽  
Protective Effects ◽  
Chinese Older Adults ◽  
Sociodemographic Correlates ◽  
Older Chinese ◽  
Older Chinese Americans

Abstract Resilience is defined as a personal quality that enables growth in knowledge, understanding and self-actualization in the face of adversity and life disruptions. Low levels of resilience can dispose older adults to higher risks for negative health outcomes in the aftermath of traumatic events. However, we have limited knowledge of resilience among minority aging populations. This study aims to examine the presence and levels of resilience and its sociodemographic correlates among U.S. Chinese older adults. Data were drawn from the Population Study of Chinese Elderly, an epidemiology study of U.S. Chinese older adults in the Greater Chicago area. Guided by a community-based participatory research approach, a total of 3,036 Chinese older adults aged 60 and above participated in face-to-face interviews from 2015 to 2017. Spearman’s rank-order coefficient was utilized to test correlation. A 10-item validated Chinese version of the Connor-Davidson resilience scale was used to assess resilience. In our sample, 59.7% were female, and the average age was 75. The mean resilience score was 26.9, ranging from 1 to 40. U.S. Chinese older adults who were younger, male, married, had higher education and income, fewer children, better health status and quality of life, and improved health and have lived fewer years in the U.S. reported higher levels of resilience. Future longitudinal research is needed to investigate the protective effects of resilience among older Chinese Americans against mental and physical distress.

Correlated personality change across time and age

2021 ◽  
pp. 089020702110140
Author(s):  
Gabriel Olaru ◽  
Mathias Allemand
Keyword(s):  
Structural Equation ◽  
Rank Order ◽  
Personality Development ◽  
The United States ◽  
Change Score ◽  
Personality Change ◽  
Equation Modeling ◽  
Model Parameters ◽  
Cross Sectional ◽  
Adult Lifespan

The goal of this study was to examine differential and correlated change in personality across the adult lifespan. Studying differential and correlated change can help understand whether intraindividual trait change trajectories deviate from the norm and how these trajectories are coupled with each other. We used data from two large longitudinal panel studies from the United States that covered a total age range of 20 to 95 years on the first measurement occasion. We used correlated factor models and bivariate latent change score models to examine the rank-order stability and correlations between change across three measurement waves covering 18 years ( N = 3250) and four measurement waves covering 12 years ( N = 4145). We examined the moderation effects of continuous age on these model parameters using local structural equation modeling. The results suggest that the test–retest correlations decrease with increasing time between measurements but are unaffected by participants’ age. We found that change processes in Extraversion, Openness, Agreeableness, and Conscientiousness were strongly related, particularly in late adulthood. Correlated change patterns were highly stable across time intervals and similar to the initial cross-sectional Big Five correlations. We discuss potential mechanisms and implications for personality development research.

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