DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables

2009 ◽  
pp. 47-58
Author(s):  
Stephen L. France ◽  
J. Douglas Carroll
Keyword(s):  
Large Scale ◽  
Demographic Variables

scholarly journals Lottery ticket and instant win ticket gambling: exploring the distinctions

2015 ◽  
pp. 5 ◽  
Author(s):  
Megan M. Short ◽  
Alexander M. Penney ◽  
Dwight Mazmanian ◽  
John Jamieson
Keyword(s):  
Problem Gambling ◽  
Large Scale ◽  
Demographic Variables ◽  
Lottery Ticket ◽  
Data Set ◽  
Canadian Data ◽  
Gambling Severity ◽  
Health Disorders ◽  
Gambling Activities ◽  
Lottery Gambling

Lottery gambling is the most common form of gambling in Canada, and lottery tickets and instant win tickets are the most frequently played games. Differences between lottery ticket gambling and instant win ticket gambling were examined by using a large-scale Canadian data set (N = 25,780). Lottery ticket gambling was associated with being older, male, and married, whereas instant win ticket gambling was associated with lower levels of education. Frequency of instant win ticket gambling predicted greater problem gambling severity and participating in more gambling activities independent of demographic variables and lottery ticket gambling. In comparison, frequency of lottery ticket gambling did not predict problem gambling severity or the number of gambling activities independent of demographic variables and instant win ticket gambling. Neither lottery game was related to mental health disorders or substance use. These findings provide converging evidence suggesting that different lottery games may attract distinct types of Canadian gamblers.

Self-Concept Predicts Academic Achievement across Levels of the Achievement Distribution: Domain-Specificity for Math and Reading

2018 ◽  
Author(s):  
Maria Ines Susperreguy ◽  
Pamela Davis-Kean ◽  
Kathryn Duckworth ◽  
Meichu Chen
Keyword(s):  
Large Scale ◽  
Demographic Variables ◽  
Self Concept ◽  
Data Sets ◽  
Regression Analyses ◽  
Achievement Data ◽  
Different Populations ◽  
Robust Evidence ◽  
Different Levels

This study examines whether self-concept of ability in math and reading predicts later math and reading attainment across different levels of achievement. Data from three large-scale longitudinal data sets, the ALSPAC, NICHD-SECCYD, and PSID-CDS, were used to answer this question by employing quantile regression analyses. After controlling for demographic variables, child characteristics, and early ability, the findings indicate that self-concept of ability in math and reading predicts later achievement in each respective domain across all quantile levels of achievement. These results were replicated across the three data sets representing different populations and provide robust evidence for the role of self-concept of ability in understanding achievement from early childhood to adolescence across the spectrum of performance (low to high).

Differences in the Psychotherapeutic Orientation Among Dutch and Belgian Psychiatric Residents

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1
Author(s):  
S. Dal
Keyword(s):  
Large Scale ◽  
Demographic Variables ◽  
Homogeneous Field ◽  
Psychiatric Residents ◽  
Cultural Variations ◽  
Religious Background ◽  
Large Scale Study ◽  
First Results ◽  
The Difference ◽  
Descriptive Framework

The psychotherapeutic education of psychiatric residents remains a poorly studied area. Until now, there have been a few mainly theoretical or local researches, mainly rooted in a psychoanalytical descriptive framework, and many normative guidelines. One could almost believe that psychiatrists are spending very little time considering their own social determinations. So we did a large scale study in 2006, among Belgian and Dutch residents. This allows us to present a few first results: notably the difference in orientation according to some demographic variables (a.o. religious background and language) and major dissimilarities concerning referential authors for Dutch, Flemish and Walloon residents. These objective points corroborate the idea that psychiatry is not (yet) an homogeneous field in Europe, but is subject to considerable cultural variations.

scholarly journals An Examination of Factors Contributing to the Acceptance of Online Health Misinformation

2021 ◽  
Vol 12 ◽  
Author(s):  
Wenjing Pan ◽  
Diyi Liu ◽  
Jie Fang
Keyword(s):  
Large Scale ◽  
Online Survey ◽  
Demographic Variables ◽  
Education Level ◽  
Repeated Exposure ◽  
Negatively Associated ◽  
Health Related

This study examined factors including health-related anxiety, preexisting misinformation beliefs, and repeated exposure contributing to individuals’ acceptance of health misinformation. Through a large-scale online survey, this study found that health-related anxiety was positively associated with health misinformation acceptance. Preexisting misinformation beliefs, as well as repeated exposure to health misinformation, were both positively associated with health misinformation acceptance. The results also showed that demographic variables were significantly associated with health misinformation acceptance. In general, females accepted more health misinformation compared to males. Participants’ age was negatively associated with health misinformation acceptance. Participants’ education level and income were both negatively associated with their acceptance of health misinformation.

scholarly journals Considerations Underlying Parents’ Acceptance of COVID-19 Vaccines for Their Child: Evidence from Denmark

2021 ◽  
Author(s):  
Frederik Juhl Jørgensen ◽  
Michael Bang Petersen
Keyword(s):  
Empirical Data ◽  
Large Scale ◽  
Demographic Variables ◽  
Health Authorities ◽  
Children Health ◽  
The World ◽  
European Health ◽  
Large Scale Survey ◽  
Vaccination Campaigns ◽  
The Impact

Background: Since the initial phases of vaccination campaigns, health authorities across the world have recommended vaccination of children between 15 and 18; and since the summer of 2021, vaccinations of children between 12 and 15 have been recommended. Recently, American and European Health Authorities have approved the use of a vaccine against COVID-19 for children between age 5 and 11. In this article, we ask what predicts parents’ intention to vaccinate their children against COVID-19. Methods: We use empirical data from a large-scale survey in Denmark about vaccine intentions. The survey included a subsample of 794 parents to children aged 6-15. For this group of parents, we assess key predictors (including demographics, predispositions, vaccine perceptions, and vaccine barriers) of parents’ acceptance of a vaccine for their child against COVID-19. Results: We propose that the vaccine decision follows a stepwise process: demographic variables shape parents’ predispositions, which again shape their specific perceptions of the safety and effectiveness - both in general and for their children - of the particular vaccine. Moreover, we argue that vaccine barriers will moderate this process. Our results demonstrate that parents’ intention to get their children vaccinated against COVID-19 is not driven by considerations regarding the disease of COVID-19 but by considerations of the safety of vaccines and added benefits of vaccination such as normalizing societal and everyday life. The balance of these considerations shift depending on the child's age, with lower acceptance for younger children. Furthermore, the content of considerations are shaped by trust in the health authorities and factual vaccine knowledge. Conclusion: To increase parents' acceptance of a COVID-19 vaccine for their children, health authorities should focus on establishing and communicating evidence for the safety of vaccines and the impact of vaccination for their everyday lives.

Navigating COVID-19 with emotional intelligence

2020 ◽  
Vol 66 (8) ◽  
pp. 810-820
Author(s):  
Mubashir Majid Baba
Keyword(s):  
Emotional Intelligence ◽  
Large Scale ◽  
Demographic Variable ◽  
Total Sample ◽  
Demographic Variables ◽  
Faculty Members ◽  
Superior Performance ◽  
Primary Data ◽  
Secondary Sources ◽  
The Impact

Background: Coronavirus disease 2019 (COVID-19) is an infectious disease caused by a newly discovered coronavirus. COVID-19 has affected educational systems worldwide, leading to the widespread closure of schools, colleges and universities. The COVID-19 pandemic is also having a dramatic impact on societies and economies around the world. With various measures of lockdowns and social distancing in place, it becomes important to understand emotional intelligence of faculty members working in institutions of higher learning on a large scale in this pandemic. Aim: The purpose of this article is to examine the perception of faculty members toward their emotional intelligence during COVID-19 and to study the impact of demographic variables on their emotional intelligence. Method: The data collected were analyzed using descriptive and inferential statistics. The data for the study were collected through both the primary and secondary sources. Online questionnaires were used to gather the primary data. The measuring items used for the study were sourced from existing validated scales and literature. Descriptive statistics was employed to know the descriptive information across various demographic variables on a total sample of 683. The various demographic variables, which were considered for the study, were gender and designation. Results: The results revealed that the faculty members perceived their emotional intelligence at an above-average level in the present pandemic, that is, COVID-19. The results also revealed that the perception of the respondent faculty members toward their emotional intelligence from different universities and states is more or less the same and also the demographic variable gender has a significant impact on emotional intelligence during the present pandemic. Conclusion: Besides having theoretical implications that open pathways for conducting further research, the findings of the study may serve as a reference for service practitioners in designing strategies that will ensure superior performance of faculty members in higher educational institutions during the pandemic.

scholarly journals The role of socio-demographic variables and their interaction effect on sense of coherence

2013 ◽  
Vol 39 (1) ◽  
Author(s):  
Antoni Barnard
Keyword(s):  
Sense Of Coherence ◽  
Large Scale ◽  
Survey Design ◽  
Interactive Effect ◽  
Income Group ◽  
Demographic Variables ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Interaction Detection

Orientation: Socio-demographics play a role in sense of coherence (SOC), indicating the strength of resistance resources available to employees from different socio-demographic groupings.Research purpose: To explore whether and how socio-demographic variables and their interactive effect determine a distinctively high or low SOC.Motivation for the study: Various studies include an exploration of the role of socio-demographic attributes on SOC, yet do not investigate the interactive effect of these socio-demographics on high or low SOC.Research design, approach and method: Quantitative, cross-sectional survey design. The chi-square interaction detection method (CHAID) was applied to a large-scale employee sample (n = 7185). Confirmatory analysis was done by exploring predictor effects on two possible permutations of high or low SOC classifications.Main findings: Results indicated a statistically significant four-factor interactive effect of demographic variables on SOC. Level of income most strongly partitioned high to low SOC ratio groups. Marital status and number of dependants, with level of income, further distinguished statistically distinct high to low SOC ratio groups. Race indicated distinct high to low SOC ratio groups in the higher income group. No statistically significant effects were found for age and gender.Practical/managerial implications: Companies should provide lower income employees with financial counselling and special support for single or divorced employees and employees who are married but the sole household earner. In the middle to high income category employee assistance should cater for employees with dependants and especially for the sole household earners.Contribution/value-add: Establishing whether and how demographic variables predict high to low SOC ratios broadens the theoretical knowledge base of SOC. The study contributes methodologically in its application of CHAID analysis.

scholarly journals Consumer Attitudes and Preference Exploration towards Fresh-Cut Salads Using Best–Worst Scaling and Latent Class Analysis

Foods ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 568 ◽  
Author(s):  
Stefano Massaglia ◽  
Valentina Maria Merlino ◽  
Danielle Borra ◽  
Aurora Bargetto ◽  
Francesco Sottile ◽  
...  
Keyword(s):  
Large Scale ◽  
Latent Class ◽  
Demographic Variables ◽  
North West ◽  
Organic Certification ◽  
Best Worst Scaling ◽  
Retail Outlets ◽  
Market Opportunities ◽  
Fresh Cut ◽  
Area North

This research explored the preferences and buying habits of a sample of 620 consumers of fresh-cut, ready-to-eat salads. A best–worst scaling approach was used to measure the level of preference stated by individuals regarding 12 attributes for quality (intrinsic, extrinsic and credence) of fresh-cut salads. The experiment was carried out through direct interviews at several large-scale retail outlets in the Turin metropolitan area (north-west of Italy). Out of the total number of questioned consumers, 35% said they did not consume fresh-cut salads. On the contrary, the rest of the involved sample expressed the highest degree of preference towards the freshness/appearance attribute, followed by the expiration date and the brand. On the contrary, attributes such as price, organic certification and food safety did not emerge as discriminating factors in consumer choices. Additionally, five clusters of consumers were identified, whose preferences are related both to purchasing styles and socio-demographic variables. In conclusion, this research has highlighted the positive attitude of consumers towards quality products backed by a brand, providing ideas for companies to improve within this sector and implement strategies to answer the needs of a new segment of consumers, by determining market opportunities that aim to strengthen local brands.

scholarly journals PANDORA Talks: Personality and Demographics on Reddit

2020 ◽  
Author(s):  
Matej Gjurković ◽  
Mladen Karan ◽  
Iva Vukojević ◽  
Mihaela Bošnjak ◽  
Jan Šnajder
Keyword(s):  
Social Sciences ◽  
Large Scale ◽  
Demographic Variables ◽  
Gender Classification ◽  
Big 5 ◽  
Psychological Theories ◽  
Large Scale Dataset ◽  
Personality Models

Personality and demographics are important variables in social sciences, whilein NLP they can aid in interpretability and removal of societal biases.However, datasets with both personality and demographic labels are scarce. Toaddress this, we present PANDORA, the first large-scale dataset of Reddit commentslabeled with three personality models (including the well-established Big 5 model) and demographics (age, gender, and location) for more than 10k users. Weshowcase the usefulness of this dataset on three experiments, where we leveragethe more readily available data from other personality models to predict theBig 5 traits, analyze gender classification biases arising frompsycho-demographic variables, and carry out a confirmatory and exploratoryanalysis based on psychological theories. Finally, we present benchmarkprediction models for all personality and demographic variables.

Some comments about observations and image processing of comet 29P/Schwassmann-Wachmann 1

1999 ◽  
Vol 173 ◽  
pp. 243-248
Author(s):  
D. Kubáček ◽  
A. Galád ◽  
A. Pravda
Keyword(s):  
Image Processing ◽  
Large Scale ◽  
Harvard College ◽  
Oak Ridge ◽  
Large Scale Structures ◽  
Short Period Comet ◽  
Short Period ◽  
Scale Structures ◽  
Harvard College Observatory ◽  
Period Comet

AbstractUnusual short-period comet 29P/Schwassmann-Wachmann 1 inspired many observers to explain its unpredictable outbursts. In this paper large scale structures and features from the inner part of the coma in time periods around outbursts are studied. CCD images were taken at Whipple Observatory, Mt. Hopkins, in 1989 and at Astronomical Observatory, Modra, from 1995 to 1998. Photographic plates of the comet were taken at Harvard College Observatory, Oak Ridge, from 1974 to 1982. The latter were digitized at first to apply the same techniques of image processing for optimizing the visibility of features in the coma during outbursts. Outbursts and coma structures show various shapes.

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