Gaming alone: Videogaming and sociopolitical attitudes

2020 ◽  
pp. 146144482091041
Author(s):  
Pavel Bacovsky
Keyword(s):  
Time Series ◽  
Political Socialization ◽  
Political Engagement ◽  
Social Attitudes ◽  
Cautionary Tale ◽  
Democratic Attitudes ◽  
Prosocial Attitudes ◽  
Time Series Methodology ◽  
The Relationship ◽  
Over Time

What sustains prosocial attitudes and political engagement in the era of online connectivity? Scholars disagree on whether frequent consumers of virtual entertainment disconnect from sociopolitical life. Using the Swedish Political Socialization Panel dataset and partial-pool time series methodology, I investigate the relationship between playing videogames and adolescents’ political and social attitudes over time. I find that those gamers who spend more time engaging in their favorite pastime become less interested in sociopolitical issues and less prosocial than non-gamers from year to year. My findings tell a cautionary tale about the adverse effects of extensive gaming on the development of democratic attitudes among adolescents.

On the use of structured time-series to detect and test hypotheses about within-lakes relationships

1995 ◽  
Vol 52 (4) ◽  
pp. 799-803 ◽  
Author(s):  
Yves T. Prairie ◽  
C. Tara Marshall
Keyword(s):  
Time Series ◽  
Empirical Data ◽  
Single System ◽  
Empirical Relationships ◽  
Cross Sectional ◽  
Apparent Relationship ◽  
Field Season ◽  
The Relationship ◽  
Over Time ◽  
Chlorophyll Concentrations

Aquatic scientists using empirical relationships developed from point measurements or averages from different lakes often assume that these relationships also apply to individual lakes over time. However, this assumption is difficult to test because the extent of variation within a single system is generally much smaller and the relationship accordingly less defined than across a number of systems. We present a new method to extract empirical relationships from the internal structure of a time-series within a single lake. When we applied the method to an extreme simulation, we were able to recover accurately the parameters of the relationship in spite of the absence of any apparent relationship between the variables. When applied to empirical data for phosphorus and chlorophyll concentrations collected daily over one field season, the estimated structural relationship was nearly identical to that estimated from cross-sectional data even though the empirical trend appeared much shallower and very weak.

Deterministic and Random Components of over Time Evolution of Milk Production Analysed by Time Series Methodology

2003 ◽  
pp. 245-255
Author(s):  
Giuseppe Pulina ◽  
Corrado Di Mauro ◽  
Niccolò Macciotta ◽  
Aldo Cappio-Borlino
Keyword(s):  
Time Series ◽  
Time Evolution ◽  
Milk Production ◽  
Random Components ◽  
Time Series Methodology ◽  
Over Time

scholarly journals Give it Time

2007 ◽  
Vol 129 (11) ◽  
pp. 28-31
Author(s):  
Jean Thilmany
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Data Acquisition ◽  
Cell Response ◽  
Preventive Maintenance ◽  
Failure Time ◽  
Living Systems ◽  
Macroscopic Level ◽  
The Relationship ◽  
Over Time

This article discusses that data acquisition techniques give researchers insights into fields outside the realm of machines. The methods that mechanical engineers most frequently call upon in their work have never been strictly confined to the province of machinery. Patterns may indicate the need for preventive maintenance or they may warn that a key piece of equipment is on the verge of failure. Time-series analysis has found uses in the important and potentially lucrative-intersection of engineering and medicine. Engineers commonly look at the relationship between time and response. But in biology that time relationship is not well characterized because it is hard to isolate and look at living systems over time. Currently, cell response is often studied on the macroscopic level.

scholarly journals Understanding Time Series Patterns of Weight and Meal History Reports in Mobile Weight Loss Intervention Programs: Data-Driven Analysis (Preprint)

2019 ◽  
Author(s):  
Junetae Kim ◽  
Hye Jin Kam ◽  
Youngin Kim ◽  
Yura Lee ◽  
Jae-Ho Lee
Keyword(s):  
Time Series ◽  
Weight Loss ◽  
Weight Reduction ◽  
Reduction Process ◽  
Weight Loss Intervention ◽  
Weight Loss Outcome ◽  
Weight Loss Outcomes ◽  
Reported Data ◽  
The Relationship ◽  
Over Time

BACKGROUND Mobile apps for weight loss provide users with convenient features for recording lifestyle and health indicators; they have been widely used for weight loss recently. Previous studies in this field generally focused on the relationship between the cumulative nature of self-reported data and the results in weight loss at the end of the diet period. Therefore, we conducted an in-depth study to explore the relationships between adherence to self-reporting and weight loss outcomes during the weight reduction process. OBJECTIVE We explored the relationship between adherence to self-reporting and weight loss outcomes during the time series weight reduction process with the following 3 research questions: “How does adherence to self-reporting of body weight and meal history change over time?”, “How do weight loss outcomes depend on weight changes over time?”, and “How does adherence to the weight loss intervention change over time by gender?” METHODS We analyzed self-reported data collected weekly for 16 weeks (January 2017 to March 2018) from 684 Korean men and women who participated in a mobile weight loss intervention program provided by a mobile diet app called Noom. Analysis of variance (ANOVA) and chi-squared tests were employed to determine whether the baseline characteristics among the groups of weight loss results were different. Based on the ANOVA results and slope analysis of the trend indicating participant behavior along the time axis, we explored the relationship between adherence to self-reporting and weight loss results. RESULTS Adherence to self-reporting levels decreased over time, as previous studies have found. BMI change patterns (ie, absolute BMI values and change in BMI values within a week) changed over time and were characterized in 3 time series periods. The relationships between the weight loss outcome and both meal history and self-reporting patterns were gender-dependent. There was no statistical association between adherence to self-reporting and weight loss outcomes in the male participants. CONCLUSIONS Although mobile technology has increased the convenience of self-reporting when dieting, it should be noted that technology itself is not the essence of weight loss. The in-depth understanding of the relationship between adherence to self-reporting and weight loss outcome found in this study may contribute to the development of better weight loss interventions in mobile environments.

scholarly journals Understanding Time Series Patterns of Weight and Meal History Reports in Mobile Weight Loss Intervention Programs: Data-Driven Analysis

10.2196/17521 ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. e17521
Author(s):  
Junetae Kim ◽  
Hye Jin Kam ◽  
Youngin Kim ◽  
Yura Lee ◽  
Jae-Ho Lee
Keyword(s):  
Time Series ◽  
Weight Loss ◽  
Weight Reduction ◽  
Reduction Process ◽  
Weight Loss Intervention ◽  
Weight Loss Outcome ◽  
Weight Loss Outcomes ◽  
Reported Data ◽  
The Relationship ◽  
Over Time

Background Mobile apps for weight loss provide users with convenient features for recording lifestyle and health indicators; they have been widely used for weight loss recently. Previous studies in this field generally focused on the relationship between the cumulative nature of self-reported data and the results in weight loss at the end of the diet period. Therefore, we conducted an in-depth study to explore the relationships between adherence to self-reporting and weight loss outcomes during the weight reduction process. Objective We explored the relationship between adherence to self-reporting and weight loss outcomes during the time series weight reduction process with the following 3 research questions: “How does adherence to self-reporting of body weight and meal history change over time?”, “How do weight loss outcomes depend on weight changes over time?”, and “How does adherence to the weight loss intervention change over time by gender?” Methods We analyzed self-reported data collected weekly for 16 weeks (January 2017 to March 2018) from 684 Korean men and women who participated in a mobile weight loss intervention program provided by a mobile diet app called Noom. Analysis of variance (ANOVA) and chi-squared tests were employed to determine whether the baseline characteristics among the groups of weight loss results were different. Based on the ANOVA results and slope analysis of the trend indicating participant behavior along the time axis, we explored the relationship between adherence to self-reporting and weight loss results. Results Adherence to self-reporting levels decreased over time, as previous studies have found. BMI change patterns (ie, absolute BMI values and change in BMI values within a week) changed over time and were characterized in 3 time series periods. The relationships between the weight loss outcome and both meal history and self-reporting patterns were gender-dependent. There was no statistical association between adherence to self-reporting and weight loss outcomes in the male participants. Conclusions Although mobile technology has increased the convenience of self-reporting when dieting, it should be noted that technology itself is not the essence of weight loss. The in-depth understanding of the relationship between adherence to self-reporting and weight loss outcome found in this study may contribute to the development of better weight loss interventions in mobile environments.

scholarly journals Análisis de una serie de tiempo utilizando diseño de experimentos como herramienta de calibración

2015 ◽  
Vol 6 (1) ◽  
pp. 50 ◽  
Author(s):  
Raúl Prada-Núñez ◽  
Cesar Augusto Hernández-Suárez
Keyword(s):  
Time Series ◽  
Energy Consumption ◽  
Operating Conditions ◽  
Optimum Operating ◽  
Model Parameters ◽  
Arima Models ◽  
Deterministic Models ◽  
Relationship Of ◽  
The Relationship ◽  
Over Time

ResumenLas series temporales se usan para estudiar la relación de una variable consigo misma a lo largo del tiempo en intervalos regulares; se consideró el consumo energético de España durante una muestra de 5 días, recurriendo a diversos modelos deterministas se buscaba modelar su comportamiento de la forma más ajustada. Se utiliza el diseño de experimentos para calibrar los parámetros del modelo de HoltWinters validando aquellos efectos que resultan significativos en la minimización del MAPE, con el fin de identificar las Condiciones Operativas Óptimas del modelo. Por último, se evaluan diversos modelos ARIMA aplicados a los residuos obtenidos del modelo de Holt Winters para convertirlo en ruido blanco, utilizando la metodología Box-Jenkins.Palabras claves: modelo Holt-Winters, modelos ARIMA, Series de tiempo. AbstractTime series are used to study the relationship of a variable with itself over time at regular intervals. Energy consumption in Spain was considered for a sample of five days, using various deterministic models sought to model their behavior in the most accurate way. The design of experiments is used to calibrate the model parameters Holt-Winters validating those effects that are significant in minimizing MAPE,in order to identify the optimum operating conditions of the model. Finally, various ARIMA models applied to residues obtained from Holt-Winters model to make it white noise, using the Box-Jenkins methodology are evaluated.Keywords:  Holt-Winters model, ARIMA models, Time series.

Investment Traits and Intelligence in Adulthood

2013 ◽  
Vol 34 (2) ◽  
pp. 82-89 ◽  
Author(s):  
Sophie von Stumm
Keyword(s):  
Individual Differences ◽  
Personality Traits ◽  
Fluid Intelligence ◽  
Need For Cognition ◽  
Openness To Experience ◽  
Intelligence Tests ◽  
Crystallized Intelligence ◽  
New Knowledge ◽  
The Relationship ◽  
Over Time

Intelligence-as-knowledge in adulthood is influenced by individual differences in intelligence-as-process (i.e., fluid intelligence) and in personality traits that determine when, where, and how people invest their intelligence over time. Here, the relationship between two investment traits (i.e., Openness to Experience and Need for Cognition), intelligence-as-process and intelligence-as-knowledge, as assessed by a battery of crystallized intelligence tests and a new knowledge measure, was examined. The results showed that (1) both investment traits were positively associated with intelligence-as-knowledge; (2) this effect was stronger for Openness to Experience than for Need for Cognition; and (3) associations between investment and intelligence-as-knowledge reduced when adjusting for intelligence-as-process but remained mostly significant.

Power Values and Power Distance Moderate the Relationship Between Workplace Supervisory Power and Job Satisfaction

2020 ◽  
Vol 19 (3) ◽  
pp. 135-141
Author(s):  
Kenneth D. Locke
Keyword(s):  
Job Satisfaction ◽  
Multilevel Modeling ◽  
Power Distance ◽  
European Social Survey ◽  
Social Survey ◽  
The Relationship ◽  
Workplace Power ◽  
Over Time

Abstract. Person–job (or needs–supplies) discrepancy/fit theories posit that job satisfaction depends on work supplying what employees want and thus expect associations between having supervisory power and job satisfaction to be more positive in individuals who value power and in societies that endorse power values and power distance (e.g., respecting/obeying superiors). Using multilevel modeling on 30,683 European Social Survey respondents from 31 countries revealed that overseeing supervisees was positively associated with job satisfaction, and as hypothesized, this association was stronger among individuals with stronger power values and in nations with greater levels of power values or power distance. The results suggest that workplace power can have a meaningful impact on job satisfaction, especially over time in individuals or societies that esteem power.

Emotional Impact Feedback Changes How We Remember Negative Autobiographical Experiences

2010 ◽  
Vol 57 (5) ◽  
pp. 354-359 ◽  
Author(s):  
Melanie K. T. Takarangi ◽  
Deryn Strange
Keyword(s):  
Well Being ◽  
The Other ◽  
Personal Perspective ◽  
Emotional Impact ◽  
Potential Mechanism ◽  
Negative Experiences ◽  
Negative Memory ◽  
The Relationship ◽  
Negative Memories ◽  
Over Time

When people are told that their negative memories are worse than other people’s, do they later remember those events differently? We asked participants to recall a recent negative memory then, 24 h later, we gave some participants feedback about the emotional impact of their event – stating it was more or less negative compared to other people’s experiences. One week later, participants recalled the event again. We predicted that if feedback affected how participants remembered their negative experiences, their ratings of the memory’s characteristics should change over time. That is, when participants are told that their negative event is extremely negative, their memories should be more vivid, recollected strongly, and remembered from a personal perspective, compared to participants in the other conditions. Our results provide support for this hypothesis. We suggest that external feedback might be a potential mechanism in the relationship between negative memories and psychological well-being.

Rethinking social remittances and the migration-development nexus from the perspective of time

2013 ◽  
Vol 10 (1) ◽  
pp. 11-22 ◽  
Author(s):  
Peggy Levitt ◽  
Deepak Lamba-Nieves
Keyword(s):  
Social Influence ◽  
Change Over Time ◽  
Social Remittances ◽  
The Relationship ◽  
Migration And Development ◽  
Over Time

This article explores how the conceptualization, management, and measurement of time affect the migration-development nexus. We focus on how social remittances transform the meaning and worth of time, thereby changing how these ideas and practices are accepted and valued and recalibrating the relationship between migration and development. Our data reveal the need to pay closer attention to how migration’s impacts shift over time in response to its changing significance, rhythms, and horizons. How does migrants’ social influence affect and change the needs, values, and mind-frames of non-migrants? How do the ways in which social remittances are constructed, perceived, and accepted change over time for their senders and receivers?

Sign in / Sign up

Export Citation Format

Share Document