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Comparative research is a research methodology in the social sciences exemplified in cross-cultural or comparative studies that aims to make comparisons across different countries or cultures. A major problem in comparative research is that the data sets in different countries may define categories differently (for example by using different ...
Data about applicant's family and various other factors included. 12,960 Text Classification 1997 [481] [482] V. Rajkovic et al. University Dataset Data describing attributed of a large number of universities. None. 285 Text Clustering, classification 1988 [483] S. Sounders et al. Blood Transfusion Service Center Dataset
In statistics and econometrics, cross-sectional data is a type of data collected by observing many subjects (such as individuals, firms, countries, or regions) at a single point or period of time. Analysis of cross-sectional data usually consists of comparing the differences among selected subjects, typically with no regard to differences in time.
The small N problem arises when the number of units of analysis (e.g. countries) available is inherently limited. For example: a study where countries are the unit of analysis is limited in that are only a limited number of countries in the world (less than 200), less than necessary for some (probabilistic) statistical techniques.
Furthermore, it enables research about citizens’ evaluation of democratic institutions and processes. Module 1 includes 39 election studies conducted in 33 countries. Survey data collection for module 2 was conducted between 2001 and 2006 and focuses on accountability and representation. It addresses the contrast between the view that ...
The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power. In complex studies ...
Scientific experiments often require comparing two (or more) sets of data. In some cases, the data sets are paired, meaning there is an obvious and meaningful one-to-one correspondence between the data in the first set and the data in the second set, compare Blocking (statistics). For example, paired data can arise from measuring a single set ...
Our confidence that a result will generalize to independent data should generally be weaker if it is observed as part of an analysis that involves multiple comparisons, rather than an analysis that involves only a single comparison. For example, if one test is performed at the 5% level and the corresponding null hypothesis is true, there is ...