Charmed by China? Popular Perceptions of Chinese Influence in Asia

2012 ◽  
Vol 13 (4) ◽  
pp. 477-499 ◽  
Author(s):  
TRAVIS NELSON ◽  
MATTHEW CARLSON
Keyword(s):  
Foreign Policy ◽  
Statistical Analysis ◽  
Survey Data ◽  
Economic Power ◽  
Military Conflict ◽  
Positive Image ◽  
National Identification ◽  
The Individual ◽  
Multilevel Statistical Analysis ◽  
Policy Interest

AbstractChinese influence in Asia is complicated by many factors. There are those who argue that China's growing military and economic power make this influence an automatic threat, while others maintain that China's recent attempts at a ‘charm offensive’ mute this threat and have succeeded in creating a positive image for many of its regional neighbors. Drawing on survey data collected across 23 countries, we enter this debate by asking what individuals in and across Asia think about Chinese influence. Do they see this influence as positive or negative? What factors at the individual and national levels most clearly shape their perceptions? Using multilevel statistical analysis, we find that Asian opinions of Chinese influence are on the whole quite positive and are influenced by a range of factors, including foreign policy interest, national identification, foreign contact, and recent military conflict.

Elite Competition, Religiosity, and Anti-Americanism in the Islamic World

2012 ◽  
Vol 106 (2) ◽  
pp. 225-243 ◽  
Author(s):  
LISA BLAYDES ◽  
DREW A. LINZER
Keyword(s):  
Public Opinion ◽  
Statistical Analysis ◽  
American Culture ◽  
Current Debate ◽  
International Affairs ◽  
Islamic World ◽  
Political Factions ◽  
Multilevel Statistical Analysis

The battle for public opinion in the Islamic world is an ongoing priority for U.S. diplomacy. The current debate over why many Muslims hold anti-American views revolves around whether they dislike fundamental aspects of American culture and government, or what Americans do in international affairs. We argue, instead, that Muslim anti-Americanism is predominantly a domestic, elite-led phenomenon that intensifies when there is greater competition between Islamist and secular-nationalist political factions within a country. Although more observant Muslims tend to be more anti-American, paradoxically the most anti-American countries are those in which Muslim populations are less religious overall, and thus more divided on the religious–secular issue dimension. We provide case study evidence consistent with this explanation, as well as a multilevel statistical analysis of public opinion data from nearly 13,000 Muslim respondents in 21 countries.

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.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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