Freedom In The World
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Freedom In The World
''Freedom in the World'' is a yearly survey and report by the U.S.-based non-governmental organization Freedom House that measures the degree of civil liberties and political rights in every nation and significant related and disputed territories around the world. Origin and use ''Freedom in the World'' was launched in 1973 by Raymond Gastil. It produces annual scores representing the levels of political rights and civil liberties in each state and territory, on a scale from 1 (most free) to 7 (least free). Depending on the ratings, the nations are then classified as "Free", "Partly Free", or "Not Free". The report is often used by researchers in order to measure democracy and correlates highly with several other measures of democracy such as the Polity data series. The Freedom House rankings are widely reported in the media and used as sources by political researchers. Their construction and use has been evaluated by critics and supporters. Country rankings The rankings ...
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Non-governmental Organization
A non-governmental organization (NGO) or non-governmental organisation (see spelling differences) is an organization that generally is formed independent from government. They are typically nonprofit entities, and many of them are active in humanitarianism or the social sciences; they can also include clubs and associations that provide services to their members and others. Surveys indicate that NGOs have a high degree of public trust, which can make them a useful proxy for the concerns of society and stakeholders. However, NGOs can also be lobby groups for corporations, such as the World Economic Forum. NGOs are distinguished from international and intergovernmental organizations (''IOs'') in that the latter are more directly involved with sovereign states and their governments. The term as it is used today was first introduced in Article 71 of the newly-formed United Nations' Charter in 1945. While there is no fixed or formal definition for what NGOs are, they are genera ...
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Moldova
Moldova ( , ; ), officially the Republic of Moldova ( ro, Republica Moldova), is a Landlocked country, landlocked country in Eastern Europe. It is bordered by Romania to the west and Ukraine to the north, east, and south. The List of states with limited recognition, unrecognised state of Transnistria lies across the Dniester river on the country's eastern border with Ukraine. Moldova's Capital city, capital and largest city is Chișinău. Most of Moldovan territory was a part of the Principality of Moldavia from the 14th century until 1812, when it was Treaty of Bucharest (1812), ceded to the Russian Empire by the Ottoman Empire (to which Moldavia was a Vassal state of the Ottoman Empire, vassal state) and became known as Bessarabia. In 1856, southern Bessarabia was returned to Moldavia, which three years later united with Wallachia to form United Principalities, Romania, but Russian rule was restored over the whole of the region in 1878. During the 1917 Russian Revolution, B ...
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Alternative Hypothesis
In statistical hypothesis testing, the alternative hypothesis is one of the proposed proposition in the hypothesis test. In general the goal of hypothesis test is to demonstrate that in the given condition, there is sufficient evidence supporting the credibility of alternative hypothesis instead of the exclusive proposition in the test (null hypothesis). It is usually consistent with the research hypothesis because it is constructed from literature review, previous studies, etc. However, the research hypothesis is sometimes consistent with the null hypothesis. In statistics, alternative hypothesis is often denoted as Ha or H1. Hypotheses are formulated to compare in a statistical hypothesis test. In the domain of inferential statistics two rival hypotheses can be compared by explanatory power and predictive power. Basic definition The ''alternative hypothesis'' and ''null hypothesis'' are types of conjectures used in statistical tests, which are formal methods of reaching ...
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Two-tailed Test
In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter inferred from a data set, in terms of a test statistic. A two-tailed test is appropriate if the estimated value is greater or less than a certain range of values, for example, whether a test taker may score above or below a specific range of scores. This method is used for null hypothesis testing and if the estimated value exists in the critical areas, the alternative hypothesis is accepted over the null hypothesis. A one-tailed test is appropriate if the estimated value may depart from the reference value in only one direction, left or right, but not both. An example can be whether a machine produces more than one-percent defective products. In this situation, if the estimated value exists in one of the one-sided critical areas, depending on the direction of interest (greater than or less than), the alternative hypothesis is a ...
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Significance Level
In statistical hypothesis testing, a result has statistical significance when it is very unlikely to have occurred given the null hypothesis (simply by chance alone). More precisely, a study's defined significance level, denoted by \alpha, is the probability of the study rejecting the null hypothesis, given that the null hypothesis is true; and the ''p''-value of a result, ''p'', is the probability of obtaining a result at least as extreme, given that the null hypothesis is true. The result is statistically significant, by the standards of the study, when p \le \alpha. The significance level for a study is chosen before data collection, and is typically set to 5% or much lower—depending on the field of study. In any experiment or observation that involves drawing a sample from a population, there is always the possibility that an observed effect would have occurred due to sampling error alone. But if the ''p''-value of an observed effect is less than (or equal to) the significa ...
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Pearson's Correlation Coefficient
In statistics, the Pearson correlation coefficient (PCC, pronounced ) ― also known as Pearson's ''r'', the Pearson product-moment correlation coefficient (PPMCC), the bivariate correlation, or colloquially simply as the correlation coefficient ― is a measure of linear correlation between two sets of data. It is the ratio between the covariance of two variables and the product of their standard deviations; thus, it is essentially a normalized measurement of the covariance, such that the result always has a value between −1 and 1. As with covariance itself, the measure can only reflect a linear correlation of variables, and ignores many other types of relationships or correlations. As a simple example, one would expect the age and height of a sample of teenagers from a high school to have a Pearson correlation coefficient significantly greater than 0, but less than 1 (as 1 would represent an unrealistically perfect correlation). Naming and history It was developed by Karl ...
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Universal Declaration Of Human Rights
The Universal Declaration of Human Rights (UDHR) is an international document adopted by the United Nations General Assembly that enshrines the Human rights, rights and freedoms of all human beings. Drafted by a UN Drafting of the Universal Declaration of Human Rights, committee chaired by Eleanor Roosevelt, it was accepted by the General Assembly as United Nations General Assembly Resolution 217, Resolution 217 during Third session of the United Nations General Assembly, its third session on 10 December 1948 at the Palais de Chaillot in Paris, France. Of the 58 members of the United Nations at the time, 48 voted in favour, none against, eight abstentions, abstained, and two did not vote. A foundational text in the History of human rights, history of human and civil rights, the Declaration consists of 30 articles detailing an individual's "basic rights and fundamental freedoms" and affirming their universal character as inherent, inalienable, and applicable to all human beings. ...
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Adam Przeworski
Adam Przeworski (; born May 5, 1940) is a Polish-American professor of political science specializing in comparative politics. He is Carroll and Milton Professor Emeritus in the Department of Politics of New York University. He is a scholar of democratic societies, theory of democracy, social democracy and political economy, as well as an early proponent of rational choice theory in political science. Biography He was born in 1940 in Warsaw, Poland when the country was occupied by Nazi Germany. His parents were physicians. His father, whom he never met, was conscripted in the Polish army in 1939 and killed in the 1940 Katyn massacre by Soviet troops. His uncle Andrzej Przeworski was a Polish footballer, referee and manager. His wife is a former senior manager at the OECD and the UN and the founding director of the Bard Center for Environmental Policy. Their daughter Molly Przeworski is a Population Geneticist. Przeworski is a fan of the English football club Arsenal. Przewor ...
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Human Rights
Human rights are Morality, moral principles or Social norm, normsJames Nickel, with assistance from Thomas Pogge, M.B.E. Smith, and Leif Wenar, 13 December 2013, Stanford Encyclopedia of PhilosophyHuman Rights Retrieved 14 August 2014 for certain standards of human behaviour and are regularly protected in Municipal law, municipal and international law. They are commonly understood as inalienable,The United Nations, Office of the High Commissioner of Human RightsWhat are human rights? Retrieved 14 August 2014 fundamental rights "to which a person is inherently entitled simply because she or he is a human being" and which are "inherent in all human beings",Burns H. Weston, 20 March 2014, Encyclopædia Britannicahuman rights Retrieved 14 August 2014. regardless of their age, ethnic origin, location, language, religion, ethnicity, or any other status. They are applicable everywhere and at every time in the sense of being Universality (philosophy), universal, and they are Egalitari ...
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Correlation
In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. Although in the broadest sense, "correlation" may indicate any type of association, in statistics it usually refers to the degree to which a pair of variables are ''linearly'' related. Familiar examples of dependent phenomena include the correlation between the height of parents and their offspring, and the correlation between the price of a good and the quantity the consumers are willing to purchase, as it is depicted in the so-called demand curve. Correlations are useful because they can indicate a predictive relationship that can be exploited in practice. For example, an electrical utility may produce less power on a mild day based on the correlation between electricity demand and weather. In this example, there is a causal relationship, because extreme weather causes people to use more electricity for heating or cooling. However ...
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Factor Analysis
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors. For example, it is possible that variations in six observed variables mainly reflect the variations in two unobserved (underlying) variables. Factor analysis searches for such joint variations in response to unobserved latent variables. The observed variables are modelled as linear combinations of the potential factors plus "error" terms, hence factor analysis can be thought of as a special case of errors-in-variables models. Simply put, the factor loading of a variable quantifies the extent to which the variable is related to a given factor. A common rationale behind factor analytic methods is that the information gained about the interdependencies between observed variables can be used later to reduce the set of variables in a dataset. Factor analysis is commonly used in psychometrics, persona ...
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LISREL
LISREL (linear structural relations) is a proprietary statistical software package used in structural equation modeling (SEM) for manifest and latent variables. It requires a "fairly high level of statistical sophistication". History LISREL was developed in the 1970s by Karl Jöreskog, then a scientist at Educational Testing Service in Princeton, New Jersey, and Dag Sörbom, later both professors of Uppsala University in Sweden. The most current version is LISREL 11 and can be downloaded from https://ssicentral.com/index.php/products/lisrel/. Command language, graphical user interface and delivery LISREL is mainly syntax-based, although recent versions have featured a graphical user interface (GUI). SSI (Scientific Software International) has recently changed from e-Academy to a "home-built" solution for distributing the rental (6- or 12-month) versions of their software. See also * Confirmatory factor analysis * Multivariate analysis * Path analysis (statistics) * Structural eq ...
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