The Swedish Version of the Temperament and Character Inventory (TCI)

2008 ◽  
Vol 24 (1) ◽  
pp. 14-21 ◽  
Author(s):  
Sven Brändström ◽  
Sören Sigvardsson ◽  
Per-Olof Nylander ◽  
Jörg Richter
Keyword(s):  
Personality Assessment ◽  
Age Groups ◽  
Temperament And Character Inventory ◽  
Swedish Version ◽  
Age And Gender ◽  
Younger Age ◽  
Character Inventory ◽  
And Gender ◽  
Independent Effects ◽  
The Impact

Abstract. In order to establish new norms of the Swedish version of the Temperament and Character Inventory (TCI), data from 2,209 Swedish individuals (age between 13 and 80) was analyzed. The second aim was to evaluate the impact of age and gender on the questionnaire scores. The third aim was to investigate whether the TCI can be meaningfully applied to adolescents in personality assessment as a basis for further research and clinical studies. Age and gender showed independent effects on personality dimensions, which implies that age and gender specific norms have to be established for the TCI. Furthermore, the results in terms of inconsistencies in the correlational and factorial structure, as well as low internal consistency scores in the younger age groups, suggest that the adult version of the TCI should not be applied below the age of 17; for these age groups we recommend the use of the junior TCI (JTCI). The inventory is under further development and several items are in need of revision in order to create less complicated formulations, enabling an improvement in the psychometrics.

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.

Attachment points, team identification and sponsorship outcomes: evidence from the Indian Premier League

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Giridhar B. Kamath ◽  
Shirshendu Ganguli ◽  
Simon George
Keyword(s):  
Structural Equation ◽  
Group Analysis ◽  
Age Groups ◽  
Team Identification ◽  
Age And Gender ◽  
Content Type ◽  
Behavioural Intentions ◽  
Premier League ◽  
And Gender ◽  
The Impact

PurposeThis paper tests and validates a conceptual model linking the attachment points, team identification, attitude towards the team sponsors and the behavioural intentions in the context of Indian Premier League (IPL), while testing for the moderating effects of age and gender.Design/methodology/approachData were collected from 1,053 participants through both online and offline survey and then analyzed using exploratory factor analysis (EFA) and structural equation modelling (SEM).FindingsAttachment points influence the formation of team identification, which, in turn, affect the attitude towards the team sponsors. Attitude towards the team sponsors influence the behavioural intentions. Player attachment influences team identification the most. Age and gender have a moderating effect on the constructs of the study. Team identification in females is stronger because of attachment to sports, whereas males have stronger team identification based on player attachment. Males have a stronger intention to spread positive word of mouth (WOM) about sponsor products as compared to the female respondents. The younger age group of less than 21 years has more intention to spread positive WOM compared to the other age groups considered in the study.Practical implicationsThis study contributes towards sports sponsorship research and the paradigms of social identity and attachment theories. Moreover, it will also help the marketers (sponsors) in IPL to strategically market their brands.Originality/valueThis is the first study to investigate the impact of attachment points on sponsorship outcomes in the context of IPL. Further, it is also the first to investigate the purchase intentions and WOM for the team sponsors in IPL. The multi-group analysis results will provide insights into marketers to better understand IPL viewers' segments and their behaviour.

scholarly journals Prominent seasonality of 25(OH)D vitamin deficiency in Latvia: Age and gender-related variations and testing regimen

2022 ◽  
Vol 131 ◽  
pp. 02004
Author(s):  
Sergey Nikulshin ◽  
Jana Osite ◽  
Stella Lapina ◽  
Anda Krisane ◽  
Iveta Dzivite-Krisane ◽  
...  
Keyword(s):  
High Latitude ◽  
Social Impact ◽  
Age Groups ◽  
Central Laboratory ◽  
Cross Sectional ◽  
Age And Gender ◽  
Younger Age ◽  
Optimal Period ◽  
And Gender ◽  
Sectional Analysis

Seasonality of 25(OH)D deficiency rate is a factor of major clinical and social impact and should be considered when planning for appropriate testing and tailored correction. We present retrospective cross-sectional analysis of over a million 25(OH)D tests performed in two leading Latvian laboratories – Central Laboratory and E.Gulbja Laboratory. Both series of tests demonstrated prominent seasonal variability of 25(OH)D deficiency rate (<20 ng/ml) and critical deficiency rate (<12 ng/ml): the lowest percentage of deficient tests was in August, while a significant peak was found in March-April. This trend was present at all ages and in both genders, variations were pronounced even for a high-latitude country and more prominent for critical deficiency, in younger age groups and in males. Analysis of testing regimens of both laboratories revealed that schedule was not optimal, period of higher testing intensity being far removed from the 25(OH)D deficiency peak.

scholarly journals Age and Gender Impact on Password Hygiene

2022 ◽  
Vol 12 (2) ◽  
pp. 894
Author(s):  
Aušrius Juozapavičius ◽  
Agnė Brilingaitė ◽  
Linas Bukauskas ◽  
Ricardo Gregorio Lugo
Keyword(s):  
Age Groups ◽  
Age And Gender ◽  
User Groups ◽  
Measured Effect ◽  
Active Research ◽  
And Gender ◽  
The Impact ◽  
Password Strength ◽  
Security Incidents ◽  
Simple Sequence

Password hygiene plays an essential part in securing systems protected with single-factor authentication. A significant fraction of security incidents happen due to weak or reused passwords. The reasons behind differences in security vulnerable behaviour between various user groups remains an active research topic. The paper aims to identify the impact of age and gender on password strength using a large password dataset. We recovered previously hashed passwords of 102,120 users from a leaked customer database of a car-sharing company. Although the measured effect size was small, males significantly had stronger passwords than females for all age groups. Males aged 26–45 were also significantly different from all other groups, and password complexity decreased with age for both genders equally. Overall, very weak password hygiene was observed, 72% of users based their password on a word or used a simple sequence of digits, and passwords of over 39% of users were found in word lists of previous leaks.

The Influence of Gender and Menopausal Status on Hba1c Variation in a Big Data Study of a Saudi Population

2020 ◽  
Vol 16 ◽  
Author(s):  
Abdullah S. Alghamdi ◽  
Abdulaziz Alqadi ◽  
Richard O. Jenkins ◽  
Parvez I. Haris
Keyword(s):  
Diabetes Mellitus ◽  
Menopausal Status ◽  
Age Groups ◽  
Glycated Haemoglobin ◽  
Adult Women ◽  
Linear Regression Models ◽  
Age And Gender ◽  
And Gender ◽  
The Impact ◽  
Hba1c Levels

Background: Glycated haemoglobin (HbA1c) is the gold standard measurement in the screening, diagnosis and monitoring of diabetes mellitus. Saudi Arabia has a high prevalence of diabetes mellitus that is expected to rise, and the HbA1c test is commonly used in the screening, diagnosis and monitoring of diabetes. Objective: his study aims to assess the impact of age and gender on HbA1c levels, and the influence of menopausal status on HbA1c variation in a large group of Saudis. Method: Age, gender, and HbA1c results of 168,614 Saudi adult individuals were obtained from their medical records. Patients’ records were extracted irrespective of their status regarding presence of diabetes and status of glycaemic control. Linear regression models were used for predicting HbA1c from age and gender, and their interaction term. HbA1c levels were compared between genders in different age groups and different HbA1c categories. Results and Discussion: There was a statistically significant positive correlation between age and HbA1c levels, where for each ten years increase in age HbA1c increased by 0.35%. Although the overall mean HbA1c in women was significantly lower than in men (P < 0.001), women show a significant increase in HbA1c with increased age compared to men (B = 0.014, P < 0.001). Furthermore, the mean HbA1c levels in age group > 50 years was significantly higher than before that age (P < 0.001). Thus, HbA1c increased by 1.118% in age > 50 years group compared to age ≤ 50 years, and this increase in HbA1c was significantly higher in women compared to men (B = 0.495, P < 0.001). Conclusion: HbA1c levels are lower in women before the estimated menopausal age, which should be taken into consideration when using HbA1c for screening, diagnosis, and monitoring of diabetes in Saudi adult women. The short lifespan of red blood cells, due to loss of blood through menstruation, in women before menopause age, is a possible reason for these variations.

Hand Force of Men and Women Over 65 Years of Age as Measured by Maximum Pinch and Grip Force

2008 ◽  
Vol 16 (1) ◽  
pp. 24-41 ◽  
Author(s):  
Caroline W. Stegink Jansen ◽  
Bruce R. Niebuhr ◽  
Daniel J. Coussirat ◽  
Dana Hawthorne ◽  
Laura Moreno ◽  
...  
Keyword(s):  
Grip Force ◽  
Force Measurement ◽  
Age Groups ◽  
Normative Values ◽  
Cross Sectional ◽  
Age And Gender ◽  
Pinch Force ◽  
Hand Force ◽  
And Gender ◽  
The Impact

This cross-sectional study aimed to assess the impact of age and gender on 4 measures of grip and pinch force of well elderly community dwellers and to provide normative values. The hypotheses were that age and gender affect pinch and grip force and that these 2 factors might interact. Hand strength of 224 seniors 65–92 years old was tested. Grip and pinch force decreased in successively older age groups past 65 years. Men’s grip force exceeded that of women in all age groups. Men’s hand-force decline was steeper than that of women over successive age groups, suggesting that gender differences in force decreased with age. Trends were the same for all 4 types of grip- and pinch-force measurement but were most clearly visible in grip and key-pinch force. Norms were provided for seniors age 65–85+ years in 5-yr increments.

scholarly journals The Who and When of Worry: The Fading Impact of Gender on Worry and Anxiety Severity Among Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 372-372
Author(s):  
Katie Granier ◽  
Rebecca Ingram ◽  
Daniel Segal
Keyword(s):  
Older Adults ◽  
Interaction Effect ◽  
Significant Interaction ◽  
Age Groups ◽  
Significant Interaction Effect ◽  
Age And Gender ◽  
Younger Women ◽  
Younger Age ◽  
Younger Men ◽  
And Gender

Abstract Introduction. This study examined the influence of age and gender on diverse worry constructs and overall anxiety among younger (age 18-30) and older (age 65+) adults. Methods. 411 participants (311 younger, 100 older adults; 77.1% female) completed the PSWQ, BMWS, WDQ, and GAS online. Results. Among a series of 2x2 between-subjects ANOVAs, significant interaction effects between age and gender were found among all worry and anxiety measures. Specifically, there was a significant interaction effect on worry severity as measured by the PSWQ (F[1, 393]=4.28, p&lt;.05), the WDQ (F[1, 397]=8.42, p&lt;.01) and the BMWS (F[1, 396]=10.41, p&lt;.01). Gender had a larger impact on worry among younger adults than older, though both age groups showed similar patterns of women reporting greater worry than men. Though both younger and older adults showed a gender difference in worry severity, this difference was mitigated by late life. There was also an interaction effect on anxiety (GAS total) in that younger women reported greater anxiety than younger men but older adults reported similar anxiety across genders, F(1, 384)=9.78, p&lt;.01. Simple main effects analysis showed that younger women scored higher than older women on all measures of worry and anxiety, whereas younger men scored higher than older men on the PSWQ and WDQ but not the BMWS or GAS. Discussion. Consistent with previous literature, women reported greater worry and anxiety than men. However, this difference was mitigated and even extinguished among some measures in older adults. Possible explanations are discussed.

The impact of generation on the risk of road accidents

2019 ◽  
Vol 64 (2) ◽  
pp. 64-82
Author(s):  
Beata Jackowska ◽  
Ewa Wycinka
Keyword(s):  
Age Groups ◽  
Analysis Data ◽  
Road Accident ◽  
Research Centre ◽  
Road Accidents ◽  
Age And Gender ◽  
The Road ◽  
And Gender ◽  
Gender Groups ◽  
The Impact

The paper deals with the widespread perception, popular since 2017, that millennials are the worst drivers. In motor insurance, it is commonly known that age and gender are significant determinants of accidents’ risk. Nowadays, millennials are the youngest drivers. Thus, the question arises whether, apart from the age, generation isa risk factor. The aim of this paper is to verify whether generation influences the level of the road accidents rate in Poland besides age and gender of drivers. Due to the downward trend of this rate, the relative risk of road accidents was analysed among licensed drivers in Poland in the years 2006—2017. For the analysis data of the Polish National Police, Polish Road Safety Observatory, Statistics Poland, Social Diagnosis as well as Public Opinion Research Centre were used. The percentage of licensed drivers was estimated for age and gender groups as well as the percentage of millennials in these groups, according to the generation theory. The results of the empirical study for age groups of both perpetrators of the accidents and drivers involved in accidents do not confirm the hypothesis about the impact of the generation on the risk of a road accident.

scholarly journals An Analytical Study to Explore Iron Stores in a Population of Nowshera Based on Age and Gender Perspective

2022 ◽  
Vol 9 (1) ◽  
pp. 33-38
Author(s):  
Hamzullah Khan ◽  
Mohammad Basharat Khan ◽  
Shahtaj Khan ◽  
Saiqa Zahoor ◽  
Anwar Khan Wazir
Keyword(s):  
Ferritin Level ◽  
Age Groups ◽  
Female Gender ◽  
Cross Sectional ◽  
Total Study Population ◽  
Age And Gender ◽  
Iron Stores ◽  
Significant Difference ◽  
And Gender ◽  
The Impact

OBJECTIVES:  To analyze the impact of age and gender on iron stores in a population of the Nowshera region. METHODOLOGY: This cross sectional study was conducted in the Department of Pathology Qazi Hussain Ahmed Medical Complex Nowshera from 1st January 2019 to 31st March 2020. All patients were selected by convenience sampling in the Pathology department irrespective of age and gender.   Both descriptive and inferential statistics were applied to analyze data by the latest SPSS version 25.  RESULTS: Out of the total study population males were 70 (27.1%) and females 188 (77.9%) with median age 30 years.  The median ferritin level was 12.8 ng/ml. Out of total, 142 (55%) of cases were with serum ferritin less than 15ng/ml. A significant (p=0.03) gender based median ferritin level difference was observed with 1.5 times more probability of low iron stores in females as compared to males (OR=1.5). No statistically significant difference in body iron stores exists in different age groups. CONCLUSION:  A significant difference was noted in the iron stores in gender groups and the probability of depleted/low iron stores was higher in female gender as compared to male gender in all age groups in our population.    

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