Comparing American State Resident Neuroticism and State Tightness-Looseness as Predictors of Annual State Residential Mobility

2016 ◽  
Vol 118 (3) ◽  
pp. 861-869
Author(s):  
Stewart J. H. McCann
Keyword(s):  
Multiple Regression ◽  
Residential Mobility ◽  
Household Income ◽  
Urban Population ◽  
Home Ownership ◽  
White Population ◽  
Hierarchical Multiple Regression ◽  
American States ◽  
State Resident ◽  
American State

State resident neuroticism and the Harrington and Gelfand state tightness-looseness dimension were compared as predictors of state levels of residential mobility from 2004 to 2005 in the 50 American states. Hierarchical multiple regression controlled for state SES, white population percent, urban population percent, home ownership percent, and percent of home owners or renters paying 30 percent or more of household income for housing. Not moving was associated with higher neuroticism but not with tightness-looseness. Same-county moving, different-county moving, and within-state moving was associated with lower neuroticism but tightness-looseness was unrelated to any of these three criteria. However, lower tightness was associated with different-state moving and higher tightness was associated with greater tendency to move within a state rather than to a different state. Neuroticism showed no relation to the ratio of different-state to same-state moving. Results suggest distance moved may determine when neuroticism or tightness-looseness is a residential mobility predictor.

Happy Twitter Tweets are More Likely in American States with Lower Levels of Resident Neuroticism

2014 ◽  
Vol 114 (3) ◽  
pp. 891-895 ◽  
Author(s):  
Stewart J. H. McCann
Keyword(s):  
Socioeconomic Status ◽  
Multiple Regression ◽  
Big Five ◽  
Urban Population ◽  
Partial Correlation ◽  
State Level ◽  
Big Five Personality ◽  
White Population ◽  
Units Of Analysis ◽  
American States

Relations between Big Five personality scores aggregated at the American state level and the happiness of Twitter tweet content emanating from each of the 50 American states were explored with the 50 states as the units of analysis. Tweet happiness correlated negatively with Neuroticism, and the relation remained when partial correlation and multiple regression adjusted and controlled for state socioeconomic status, white population percent, and urban population percent. In contrast, state levels of Openness, Conscientiousness, Extraversion, and Agreeableness showed no relation to state levels of the happiness of tweet content.

scholarly journals American state gun law strength and state resident differences in neuroticism levels

2016 ◽  
Vol 4 (1) ◽  
pp. 91-113 ◽  
Author(s):  
Stewart J. H. McCann ◽  
Chantelle Zawila
Keyword(s):  
Big Five ◽  
State Level ◽  
Demographic Variables ◽  
Hierarchical Regression ◽  
Regression Analyses ◽  
White Population ◽  
Gun Ownership ◽  
American States ◽  
Level Analysis ◽  
State Resident

Relations between state gun law strength and state-aggregated levels of Republican leaning, gun ownership, and resident Big Five neuroticism (based on 619,397 residents nationally) were determined in a state-level analysis of the 50 American states using multiple regression strategies with state socioeconomic status, white population percent, and urban population percent statistically controlled. In a standard hierarchical model with state gun law strength as the criterion, the three demographic variables accounted for 44.4% of the variance and the Big Five accounted for another 21.9%. When the Big Five entered stepwise after the demographics, neuroticism was the sole significant personality predictor, accounting for another 13.4% of the variance. Greater state gun law strength was associated with higher state resident neuroticism. Further hierarchical regression analyses showed that state Republican leaning and gun ownership could account separately and jointly for significant variance in state gun law strength but not with state resident neuroticism controlled.

scholarly journals Citizenship acquisition and spatial stratification: Analysing immigrant residential mobility in the Netherlands

Urban Studies ◽  
2021 ◽  
pp. 004209802110060
Author(s):  
Christophe Leclerc ◽  
Maarten Vink ◽  
Hans Schmeets
Keyword(s):  
The Netherlands ◽  
Housing Market ◽  
Labour Market ◽  
Residential Mobility ◽  
Home Ownership ◽  
Register Data ◽  
Median Income ◽  
High Concentrations ◽  
The Relationship ◽  
Spatial Stratification

Whereas the so-called ‘citizenship premium’ in the labour market has been widely studied, we know little about how naturalisation affects immigrants’ lives beyond work and income. Focusing on the Netherlands, this paper analyses the relationship between citizenship acquisition and immigrant residential mobility, in particular the propensity of immigrants to move away from areas with high concentrations of migrants. We draw on register data from Statistics Netherlands ( N = 234,912). We argue that possessing Dutch citizenship reduces spatial stratification by diminishing the risk of housing market discrimination, thereby facilitating mobility outside of migrant-concentrated areas. Our findings show that naturalised immigrants are 50% more likely to move out of concentrated neighbourhoods, all else constant. The effect of naturalisation is especially relevant for renting without housing benefits and for home ownership, and for mid-risk immigrants who earn around the median income and hold permanent jobs, whose applications face strong scrutiny from landlords, rental agencies and mortgage lenders.

scholarly journals Fear of COVID-19 and COVID-19 Stress and Association with Sociodemographic and Psychological Process Factors in Cases under Surveillance in a Frontline Worker Population in Borneo

2021 ◽  
Vol 18 (13) ◽  
pp. 7210
Author(s):  
Nicholas Tze Ping Pang ◽  
Gracyvinea Nold Imon ◽  
Elisa Johoniki ◽  
Mohd Amiruddin Mohd Kassim ◽  
Azizan Omar ◽  
...  
Keyword(s):  
Multiple Regression ◽  
Psychological Flexibility ◽  
Risk Groups ◽  
Psychological Process ◽  
Process Variables ◽  
Cross Sectional ◽  
Hierarchical Multiple Regression ◽  
Epidemiological Risk ◽  
Frontline Worker ◽  
Process Factors

COVID-19 stress and fear of COVID-19 is an increasingly researched construct in the general population. However, its prevalence and association with sociodemographic factors and psychological process variables has not been explored in frontline workers under surveillance in a Bornean population. This study was a cross-sectional study using a sociodemographic questionnaire incorporating two specific epidemiological risk variables, namely specific questions about COVID-19 surveillance status (persons under investigation (PUI), persons under surveillance (PUS), and positive cases) and the nature of frontline worker status. Furthermore, five other instruments were used, with three measuring psychopathology (namely depression, anxiety and stress, fear of COVID-19, and stress due to COVID-19) and two psychological process variables (namely psychological flexibility and mindfulness). Kruskal–Wallis and Mann–Whitney tests were performed to assess if there were significant differences in psychopathology and psychological process variables between sociodemographic and epidemiological risk variables. Hierarchical multiple regression was further performed, with depression, anxiety, and stress as dependent variables. There were significant differences in the fear of COVID-19 between positive cases, PUI, and PUS. The fear of COVID-19 scores were higher in positive cases compared to in PUS and PUI groups. Upon hierarchical multiple regression, mindfulness and psychological flexibility were significant predictors of depression, anxiety, and stress after controlling for sociodemographic and epidemiological risk factors. This study demonstrates that exposure to COVID-19 as persons under investigation or surveillance significantly increases the fear of COVID-19, and brief psychological interventions that can positively influence mindfulness and psychological flexibility should be prioritized for these at-risk groups to prevent undue psychological morbidity in the long run.

Sustainable Approach towards Thai SMEs

2018 ◽  
pp. 1057-1078
Author(s):  
Siriluck Thongpoon ◽  
Noor Hazlina Ahmad ◽  
Imran Mahmud
Keyword(s):  
Factor Analysis ◽  
Multiple Regression ◽  
Exploratory Factor Analysis ◽  
Social Performance ◽  
Government Support ◽  
Hierarchical Multiple Regression ◽  
Sustainable Performance ◽  
Appropriate Practices ◽  
Sufficiency Economy Philosophy ◽  
Shed Light

This study examines issues surrounding the sustainability of SMEs in the context of Thailand. Sufficiency economy philosophy and government support are seen as important covariates that could foster sustainable performance of SMEs. A sample of 119 SME entrepreneurs in the South of Thailand participated in this study. Exploratory factor analysis and hierarchical multiple regression were conducted and the results demonstrated that some dimensions of sufficiency economy philosophy and government support are critical predictors of economic and social performance. Moreover, knowledge and morality are found to promote the principle of sufficiency economy philosophy, as such SME entrepreneurs should be cognizant of the potential effects of this philosophy. The appropriate practices can be equipped and nurtured through the values of sufficiency economy philosophy, which shed light on means to achieve firm sustainability.

Neuropsychological functioning as a predictor of employment activity in a longitudinal study of HIV-infected adults contemplating workforce reentry

2009 ◽  
Vol 16 (1) ◽  
pp. 38-48 ◽  
Author(s):  
ROBERT A. CHERNOFF ◽  
DAVID J. MARTIN ◽  
DARYL A. SCHROCK ◽  
MELISSA P. HUY
Keyword(s):  
Logistic Regression ◽  
Multiple Regression ◽  
Cognitive Deficits ◽  
Verbal Memory ◽  
Neuropsychological Functioning ◽  
Ordinal Logistic Regression ◽  
Study Participation ◽  
Everyday Functioning ◽  
Hierarchical Multiple Regression ◽  
Visual Spatial

AbstractCognitive deficits are associated with HIV disease, and HIV-related cognitive deficits have been associated with declines in everyday functioning and vocational status. We administered a baseline neuropsychological (NP) test battery designed to assess estimated full-scale IQ, achievement, attention/concentration, executive function, language, mental speed, motor function, nonverbal memory, verbal memory, and visual-spatial function to a sample of 174 disabled, HIV-positive individuals enrolled in a randomized, controlled trial of a vocational-rehabilitation program. We then used these NP scores to predict employment at the end of participants’ study participation, using both hierarchical multiple regression and ordinal logistic regression models. The hierarchical multiple regression analyses did not predict participants’ employment activities at the end of study participation. In the ordinal logistic regression model, executive functioning weakly predicted employment status at the end of study participation and inspection of the predicted classifications revealed that 63% of the participants were incorrectly classified using this model. These results suggest that although predicting workforce reentry from NP testing may be statistically significant, NP testing may be of limited clinical value for informing the workforce reentry of disabled people with HIV who are interested in returning to work. (JINS, 2010, 16, 38–48.)

Measures of Status Integration in Theory of Suicide

1995 ◽  
Vol 81 (3) ◽  
pp. 1042-1042 ◽  
Author(s):  
David Lester
Keyword(s):  
Urban Population ◽  
American States ◽  
Divorce Rates

Measures of status integration in 30 American states in 1950 were associated most strongly with longitude, divorce rates, and the size of the urban population.

Sexual Satisfaction among Married Women Age 50 and Older

2000 ◽  
Vol 86 (3_part_2) ◽  
pp. 1107-1122
Author(s):  
Michael Young ◽  
George Denny ◽  
Tamera Young ◽  
Raffy Luquis
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Sexual Satisfaction ◽  
Married Women ◽  
Return Rate ◽  
Predictor Variables ◽  
Hierarchical Multiple Regression ◽  
Item Questionnaire ◽  
Stratified Sample

Correlates of sexual satisfaction were identified in a sample of older married women. A 70-item questionnaire was mailed to an age-stratified sample of 5,000 married persons, including 1,000 married women over the age of 50. Usable questionnaires were received from 148 participants (14.8% return rate). Hierarchical multiple regression analysis, using sexual satisfaction as the dependent variable, yielded five predictor variables that accounted for a significant portion of the variation in sexual satisfaction (Cumulative R2 = .73). These results serve as a reminder that sexual interactions cannot be compartmentalized but must be considered within the context of the overall marriage relationship. Given the low return rate, interpretations should be limited until replication with an adequate sample has been completed.

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