IS PROBABILITY SAMPLING ALWAYS BETTER? A COMPARISON OF RESULTS FROM A QUOTA AND A PROBABILITY SAMPLE SURVEY

2010 ◽  
Vol 14 (2) ◽  
pp. 132-137 ◽  
Author(s):  
Robert Graham Cumming
Keyword(s):  
Sample Survey ◽  
Probability Sampling ◽  
Probability Sample ◽  
Comparison Of Results

scholarly journals Patterns of sexual mixing with respect to social, health and sexual characteristics among heterosexual couples in England: analyses of probability sample survey data

2014 ◽  
Vol 143 (7) ◽  
pp. 1500-1510 ◽  
Author(s):  
P. PRAH ◽  
A. J. COPAS ◽  
C. H. MERCER ◽  
A. NARDONE ◽  
A. M. JOHNSON
Keyword(s):  
General Health ◽  
Health Behaviours ◽  
Demographic Characteristics ◽  
Sample Survey ◽  
Heterosexual Couples ◽  
Men And Women ◽  
Positive Correlation ◽  
Probability Sample ◽  
Living Together ◽  
Sexual Characteristics

SUMMARYPatterns of sexual mixing are major determinants of sexually transmitted infection (STI) transmission, in particular the extent to which high-risk populations mix with low-risk populations. However, patterns of mixing in the general population are poorly understood. We analysed data from a national probability sample survey of households, the Health Survey for England 2010. A total of 943 heterosexual couples living together, where at least one partner was aged between 16–44 years, were included. We used correlation coefficients to measure the strength of similarities between partners with respect to demographic characteristics, general health, health behaviours and sexual history. Males were on average 2 years older than their female partners, although this age difference ranged from a median of 0 years in men aged 16–24 years to a median of 2 years in men aged 35–44 years. A positive correlation between partners was found for all demographic characteristics. With respect to general health and health behaviours, a strongly positive correlation was found between men and women in reporting alcohol consumption at ⩾3 days a week and smoking. Men typically reported greater numbers of sexual partners than their female partner, although men and women with more partners were more likely to mix with each other. We have been able to elucidate the patterns of sexual mixing between men and women living together in England. Mixing based on demographic characteristics was more assortative than sexual characteristics. These data can better inform mathematical models of STI transmission.

The Effect of Lockdowns on Mental Health: Evidence From a Natural Experiment Analysing an Australian Longitudinal Probability Sample Survey

2021 ◽  
Author(s):  
Peter Butterworth ◽  
Stefanie Schurer ◽  
Trong-Anh Trinh ◽  
Esperanza Vera-Toscano ◽  
Mark Wooden
Keyword(s):  
Mental Health ◽  
Natural Experiment ◽  
Sample Survey ◽  
Probability Sample

scholarly journals Beyond Personal Empathy: Perceiving Inclusive Empathy as Socially Shared Predicts Support for Transitional Justice Mechanisms

2021 ◽  
Author(s):  
Sandra Penić ◽  
Daniel Dukes ◽  
Guy Elcheroth ◽  
Sumedha Jayakody ◽  
David Sander
Keyword(s):  
Conflict Resolution ◽  
Civil War ◽  
Sri Lanka ◽  
Social Influence ◽  
Transitional Justice ◽  
Local Communities ◽  
Sample Survey ◽  
Minority Communities ◽  
Probability Sample ◽  
Post War

AbstractIn countries emerging from civil war, inclusive empathy is important for conflict resolution yet may be difficult to promote. Widening the predominant focus on personal inclusive empathy for conflict resolution, we examine whether support for transitional justice mechanisms (TJ) can be predicted by how much an individual perceives inclusive empathy as being shared in their local communities. Our results, based on a probability sample survey in post-war Sri Lanka (N = 580), reveal that the effects of this perceived communal inclusive empathy can be distinguished from those of personally experienced inclusive empathy, and that the more respondents perceive inclusive empathy as prevalent in their communities, the more they support TJ mechanisms. However, the results also indicate the contextual limits of perceived communal inclusive empathy as a resource for conflict resolution: participants tend to underestimate the prevalence of inclusive empathy, especially in militarized minority communities, and the more they underestimate it, the less they support TJ mechanisms. This study corroborates the importance of social influence in conflict resolution, suggesting that perception of inclusive empathy as shared in one’s community is a key determinant of popular support for conflict-transforming policies.

scholarly journals Mental health before and during the COVID-19 pandemic: a longitudinal probability sample survey of the UK population

2020 ◽  
Vol 7 (10) ◽  
pp. 883-892 ◽  
Author(s):  
Matthias Pierce ◽  
Holly Hope ◽  
Tamsin Ford ◽  
Stephani Hatch ◽  
Matthew Hotopf ◽  
...  
Keyword(s):  
Mental Health ◽  
Sample Survey ◽  
Probability Sample ◽  
The Uk

Medication Use and Disability Among Migraineurs: A National Probability Sample Survey

1992 ◽  
Vol 32 (5) ◽  
pp. 223-228 ◽  
Author(s):  
David D. Celentano ◽  
Walter F. Stewart ◽  
Richard B. Lipton ◽  
Michael L. Reed
Keyword(s):  
Medication Use ◽  
Sample Survey ◽  
Probability Sample ◽  
National Probability Sample

scholarly journals Integration of Nonprobability and Probability Samples via Survey Weights

2021 ◽  
Vol 10 (6) ◽  
pp. 5
Author(s):  
Balgobin Nandram ◽  
Jai Won Choi ◽  
Yang Liu
Keyword(s):  
Population Model ◽  
Finite Population ◽  
Percent Level ◽  
Small Sample ◽  
Sample Survey ◽  
Alternative Methods ◽  
Population Means ◽  
Probability Sample ◽  
Two Samples ◽  
The Cost

Probability sample encounters the problems of increasing cost and nonresponse. The cost has rapidly been increasing in executing a large probability sample survey, and, for some surveys, response rate can be below the 10 percent level. Therefore, statisticians seek some alternative methods. One of them is to use a large nonprobability sample (S_1 ) supplemented by a small probability sample (S_2 ). Both samples are taken from the same population and they include common covariates, and a third sample (S_3 ) is created by combining these two samples; S_1  can be biased and S_2  may have large sample variance. These two problems are reduced by survey weights and combining the two samples. Although S_2  is a small sample, it provides good properties of unbiasedness in estimation and of survey weights. With these known weights, we obtain adjusted sample weights (ASW), and create a sample model from a finite population model. We fit the sample model to obtain its parameters and generate values from the population model. Similarly, we repeat these processes for other two samples, S_1  and S_3  and for different statistical methods. We show reduced biases of the finite population means and reduced variances.as the combined sample size becomes large. We analyze sample data to show the reduction of these two errors.

scholarly journals Questionnaire and Fieldwork Challenges in a Probability Sample Survey of Muslim Americans

2008 ◽  
Vol 1 (1) ◽  
pp. 1-2
Author(s):  
Scott Keeter ◽  
Gregory Smith ◽  
Courtney Kennedy ◽  
Chintan Turakhia and Mark Schulman ◽  
J. Michael Brick
Keyword(s):  
Sample Survey ◽  
Muslim Americans ◽  
Probability Sample
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