Reliability Estimates and Age and Gender Comparisons of Expectations of Success in Sex-Typed Activities

1985 ◽  
Vol 7 (4) ◽  
pp. 379-388 ◽  
Author(s):  
Charlotte Sanguinetti ◽  
Amelia M. Lee ◽  
Jack Nelson
Keyword(s):  
Skill Acquisition ◽  
Motor Skill ◽  
Age Groups ◽  
Motor Tasks ◽  
Sex Typing ◽  
Age And Gender ◽  
Motor Skill Acquisition ◽  
Reliability Estimates ◽  
And Gender ◽  
The Stability

The purposes of this study were to determine the stability of estimations of success in masculine, feminine, and gender-neutral motor tasks with subjects of three age groups, and to compare expectancies for success of boys and girls at each of the ages. A total of 90 subjects took part in the study, including 15 males and 15 females randomly selected from the three age groups (grades 1 & 2; grades 6 & 7; and adults). Three activities (football, ballet, and swimming) had been sex-typed in a previous study as masculine, feminine, and neutral, respectively. Subjects were asked to indicate how they would expect to perform on three occasions in all three tasks. Results indicated that all age groups can provide reliable expectations for their success in motor skill acquisition, although the younger children's estimates are slightly less reliable, especially on the first trial. Sex-typing of activities was found to definitely affect the performance estimations in all three age groups. Males' expectancies were higher on the male task and females' expectancies were higher on the female task. The younger children's overall estimates of success were higher than those of the older groups.

Using questions to facilitate motor skill acquisition

1997 ◽  
Vol 61 (1) ◽  
pp. 56-65 ◽  
Author(s):  
GW Knight ◽  
PJ Guenzel ◽  
P Feil
Keyword(s):  
Skill Acquisition ◽  
Motor Skill ◽  
Motor Skill Acquisition

The Effect of Aimed Movements in Sequenced Motor Skill Learning Motor Skill Acquisition Using Aiming and the SRTT

2008 ◽  
Author(s):  
Michelle V. Thompson ◽  
Janet L. Utschig ◽  
Mikaela K. Vaughan ◽  
Marc V. Richard ◽  
Benjamin A. Clegg
Keyword(s):  
Skill Acquisition ◽  
Motor Skill ◽  
Skill Learning ◽  
Motor Skill Learning ◽  
Motor Skill Acquisition

The Influence of Age and Gender on Mandibular Indices among the Libyan Population

2019 ◽  
Vol 3 (2) ◽  
Keyword(s):  
Negative Correlation ◽  
Bone Mineralization ◽  
Age Groups ◽  
T Test ◽  
Chi Square ◽  
Age And Gender ◽  
Significant Difference ◽  
Chi Square Test ◽  
And Gender ◽  
Libyan Population

Radiographic Mandibular Indices serve as easy and relatively cheap tools for evaluating bone mineralization. Objectives: To examine the effect of age and gender on three mandibular indices: the panoramic mandibular index (PMI), the mandibular ratio (MR) and the mandibular cortical index (MCI), among Libyan population. Methods: The three indices were measured on 317 digital (OPGs) of adult humans (155 males, 162 females). The sample was divided into six age groups (from 18-25 years through 56-65 years). The measurements were analyzed for interactions with age and sex, using SPSS (Statistical Package for Social Studies) software version no. 22. The tests employed were two way ANOVA, the unpaired T-test and chi-square test. Results: The mean PMI fluctuated between 0.37 s.d. 0.012 and 0.38 s.d. 0.012. among the sixth age groups. One-way ANOVA statistical test revealed no significant of age on PMI. On the other hand gender variation has effect on PMI, since independent sample t-test disclosed that the difference between the male and female PMI means statistically significant. ANOVA test showed that the means of MR among age groups showed a negative correlation i.e. MR mean declined from 3.01 in 18-25 age groups to 2.7 in 55-65 age groups. In contrary, the gender showed no effect on MR according two sample t-test at p> 0.05. In regards with MCI, statistical analysis showed that it affected by age that is C1 was decreasing by age while C2 and C3 were increased by age. Using chi square test the result indicated that there is a significant difference among the different age group and the two genders in MCI readings. Conclusion: PMI was influenced significantly by age but minimally by the gender. MR is not affected by gender but has a negative correlation with age. MCI is affected by both age and gender

Children’s Lives and Deaths in Merovingian Gaul

2020 ◽  
pp. 185-213
Author(s):  
Émilie Perez
Keyword(s):  
Social Identity ◽  
Age Groups ◽  
New Method ◽  
Recent Analysis ◽  
Age And Gender ◽  
The Past ◽  
And Gender ◽  
Grave Goods

The role of children in Merovingian society has long been downplayed, and the study of their graves and bones has long been neglected. However, during the past fifteen years, archaeologists have shown growing interest in the place of children in Merovingian society. Nonetheless, this research has not been without challenges linked to the nature of the biological and material remains. Recent analysis of 315 children’s graves from four Merovingian cemeteries in northern Gaul (sixth to seventh centuries) allows us to understand the modalities of burial ritual for children. A new method for classifying children into social age groups shows that the type, quality, quantity, and diversity of grave goods were directly correlated with the age of the deceased. They increased from the age of eight and particularly around the time of puberty. This study discusses the role of age and gender in the construction and expression of social identity during childhood in the Merovingian period.

Age and gender differences in socially aversive (“dark”) personality traits

2021 ◽  
pp. 089020702098843
Author(s):  
Johanna Hartung ◽  
Martina Bader ◽  
Morten Moshagen ◽  
Oliver Wilhelm
Keyword(s):  
Personality Traits ◽  
Structural Equation ◽  
Age Groups ◽  
Dark Triad ◽  
Equation Modeling ◽  
Model Parameters ◽  
Age And Gender ◽  
Measurement Models ◽  
And Gender ◽  
Latent Means

The strong overlap of personality traits discussed under the label of “dark personality” (e.g., psychopathy, spitefulness, moral disengagement) endorses a common framework for socially aversive traits over and beyond the dark triad. Despite the rapidly growing research on socially aversive traits, there is a lack of studies addressing age-associated differences in these traits. In the present study ( N = 12,501), we investigated the structure of the D Factor of Personality across age and gender using local structural equation modeling, thereby expressing the model parameters as a quasi-continuous, nonparametric function of age. Specifically, we evaluated loadings, reliabilities, factor (co-)variances, and means across 35 locally weighted age groups (from 20 to 54 years), separately for females and males. Results indicated that measurement models were highly stable, thereby supporting the conceptualization of the D factor independent of age and gender. Men exhibited uniformly higher latent means than females and all latent means decreased with increasing age. Overall, D and its themes were invariant across age and gender. Therefore, future studies can meaningfully pursue causes of mean differences across age and between genders.

scholarly journals Exploring Impact of Age and Gender on Sentiment Analysis Using Machine Learning

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 374 ◽  
Author(s):  
Sudhanshu Kumar ◽  
Monika Gahalawat ◽  
Partha Pratim Roy ◽  
Debi Prosad Dogra ◽  
Byung-Gyu Kim
Keyword(s):  
Machine Learning ◽  
Sentiment Analysis ◽  
Short Term Memory ◽  
Age Groups ◽  
Modern World ◽  
Support Vector ◽  
Digital Information ◽  
Age And Gender ◽  
And Gender ◽  
The Impact

Sentiment analysis is a rapidly growing field of research due to the explosive growth in digital information. In the modern world of artificial intelligence, sentiment analysis is one of the essential tools to extract emotion information from massive data. Sentiment analysis is applied to a variety of user data from customer reviews to social network posts. To the best of our knowledge, there is less work on sentiment analysis based on the categorization of users by demographics. Demographics play an important role in deciding the marketing strategies for different products. In this study, we explore the impact of age and gender in sentiment analysis, as this can help e-commerce retailers to market their products based on specific demographics. The dataset is created by collecting reviews on books from Facebook users by asking them to answer a questionnaire containing questions about their preferences in books, along with their age groups and gender information. Next, the paper analyzes the segmented data for sentiments based on each age group and gender. Finally, sentiment analysis is done using different Machine Learning (ML) approaches including maximum entropy, support vector machine, convolutional neural network, and long short term memory to study the impact of age and gender on user reviews. Experiments have been conducted to identify new insights into the effect of age and gender for sentiment analysis.

A Dual Process Account of Coarticulation in Motor Skill Acquisition

2013 ◽  
Vol 45 (6) ◽  
pp. 531-549 ◽  
Author(s):  
Ashvin Shah ◽  
Andrew G. Barto ◽  
Andrew H. Fagg
Keyword(s):  
Skill Acquisition ◽  
Motor Skill ◽  
Dual Process ◽  
Motor Skill Acquisition
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