Family Status, Socialization, and Student Politics: A Multivariate Analysis

1971 ◽  
Vol 77 (1) ◽  
pp. 108-130 ◽  
Author(s):  
Richard G. Braungart
Keyword(s):  
Multivariate Analysis ◽  
Family Status ◽  
Student Politics ◽  
Status Socialization

Family Status, Socialization and Student Politics.

1981 ◽  
Vol 10 (4) ◽  
pp. 599
Author(s):  
Robert H. Somers ◽  
Richard G. Braungart
Keyword(s):  
Family Status ◽  
Student Politics ◽  
Status Socialization

scholarly journals Internet Addiction and Burnout in A Single Hospital: Is There Any Association?

2021 ◽  
Vol 18 (2) ◽  
pp. 615
Author(s):  
Gabor Toth ◽  
Krisztian Kapus ◽  
David Hesszenberger ◽  
Marietta Pohl ◽  
Gabor Kosa ◽  
...  
Keyword(s):  
Risk Factors ◽  
Substance Abuse ◽  
Multivariate Analysis ◽  
Internet Addiction ◽  
Healthcare Workers ◽  
Internet Use ◽  
Significant Proportion ◽  
The Internet ◽  
Family Status ◽  
Healthcare Associated

The extensive availability of the internet has led to the recognition of problematic internet use, the so-called Internet Addiction (IA), mostly involving adolescents. Burnout can lead to substance abuse or addictive behaviour (such as internet addiction) as a coping method. There are insufficient data about internet addiction and its possible association with burnout in adults, especially among healthcare workers. The aim of our present study was to focus on prevalence and the risk factors of internet addiction and its possible association with burnout among healthcare workers in a single hospital applying a questionnaire-based survey. In total, 49 doctors (10.1%), 198 nurses (40.9%), 123 medical assistant (25.4%), 73 other healthcare workers (15.1%), and 42 (1.7%) healthcare associated workers (cleaning, laundry, etc.) have completed our survey. In a multivariate analysis, IA was associated with age between 18 and 25 (OR: 2.6, p = 0.024), surfing on the internet >5 h daily (OR 25.583, p < 0.001), being single (OR: 4.275, p = 0.006), being childless (OR: 3.81, p = 0.011), working less than five years (OR 2.135, p = 0.048) and job type (being healthcare associated worker, OR: 2.907, p = 0.009). Illicit drug intake (OR 52.494, p < 0.001), and diabetes (OR: 4.122, p = 0.043) were also significantly associated with internet addiction. No association of burnout and IA could be found. A small but significant proportion of our healthcare workers suffered from IA, which was associated with substance abuse and diabetes in multivariate analysis. Our study also draws attention to the risk factors of IA such as younger age, family status, working type and working hours internet use. The possible association of burnout and IA merits further investigation.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

1118: The Incidence and Duration of Postoperative Ileus in Patients Undergoing Radical Cystectomy. A Multivariate Analysis of Contributing Factors

2005 ◽  
Vol 173 (4S) ◽  
pp. 303-303
Author(s):  
Diana Wiessner ◽  
Rainer J. Litz ◽  
Axel R. Heller ◽  
Mitko Georgiev ◽  
Oliver W. Hakenberg ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Radical Cystectomy ◽  
Postoperative Ileus ◽  
Contributing Factors
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