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Evidence-based Policy
Evidence-based policy is an idea in public policy proposing that policy decisions should be based on, or informed by, rigorously established objective evidence. The implied contrast is with policymaking based on ideology, 'common sense,' anecdotes, and intuitions. It is the government equivalent of the effective altruism movement. Evidence-based policy uses a thorough research method, such as randomized controlled trials (RCT). Good data, analytical skills, and political support to the use of scientific information are typically seen as the crucial elements of an evidence-based approach. Some have promoted particular types of evidence as 'best' for policymakers to consider, including scientifically rigorous evaluation studies such as randomized controlled trials to identify programs and practices capable of improving policy-relevant outcomes. However, some areas of policy-relevant knowledge may not be well served by quantitative research. This has led to a debate about the ty ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Policy-based Evidence Making
"Policy-based evidence making" is a pejorative term which refers to the commissioning of research in order to support a policy which has already been decided upon. It is the converse of evidence-based policy making. As the name suggests, policy-based evidence making means working back from a predefined policy to produce underpinning evidence. Working from a conclusion to provide only supporting evidence is an approach which contradicts most interpretations of the scientific method; however, it should be distinguished from research into the effects of a policy where such research may provide either supporting or opposing evidence. In ''The politics of evidence : from evidence-based policy to the good governance of evidence'', Justin Parkhurst quotes the following example from Professor Anne Glover, then Chief Scientific Officer to the European Commission: Let's imagine a Commissioner over the weekend thinks, "Let's ban the use of credit cards in the EU because credit cards lead to ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Premiership Of Tony Blair
Tony Blair's term as the prime minister of the United Kingdom began on 2 May 1997 when he accepted an invitation of Queen Elizabeth II to form a government, succeeding John Major of the Conservative Party, and ended on 27 June 2007 upon his resignation. While serving as prime minister, Blair also served as the first lord of the treasury, minister for the civil service and leader of the Labour Party. As prime minister, Blair used the term "New Labour" to distinguish his pro- market policies from the more socialist policies which the party had espoused in the past. Many of his policies reflected a centrist "Third Way" political philosophy. In domestic government policy, Blair significantly increased public spending on healthcare and education while also introducing controversial market-based reforms in these areas. In addition, Blair's tenure saw the introduction of a minimum wage, tuition fees for higher education, constitutional reform such as devolution in Scotland and Wales ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Reproducibility
Reproducibility, also known as replicability and repeatability, is a major principle underpinning the scientific method. For the findings of a study to be reproducible means that results obtained by an experiment or an observational study or in a statistical analysis of a data set should be achieved again with a high degree of reliability when the study is replicated. There are different kinds of replication but typically replication studies involve different researchers using the same methodology. Only after one or several such successful replications should a result be recognized as scientific knowledge. With a narrower scope, ''reproducibility'' has been introduced in computational sciences: Any results should be documented by making all data and code available in such a way that the computations can be executed again with identical results. In recent decades, there has been a rising concern that many published scientific results fail the test of reproducibility, evoking a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Sample Size
Sample size determination is the act of choosing the number of observations or replicates to include in a statistical sample. 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 complicated studies there may be several different sample sizes: for example, in a stratified survey there would be different sizes for each stratum. In a census, data is sought for an entire population, hence the intended sample size is equal to the population. In experimental design, where a study may be divided into different treatment groups, there may be different sample sizes for each group. Sample sizes may be chosen in several ways: *using experience – small samples, though sometimes unavoidable, can result in wide conf ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Blind Experiment
In a blind or blinded experiment, information which may influence the participants of the experiment is withheld until after the experiment is complete. Good blinding can reduce or eliminate experimental biases that arise from a participants' expectations, observer's effect on the participants, observer bias, confirmation bias, and other sources. A blind can be imposed on any participant of an experiment, including subjects, researchers, technicians, data analysts, and evaluators. In some cases, while blinding would be useful, it is impossible or unethical. For example, it is not possible to blind a patient to their treatment in a physical therapy intervention. A good clinical protocol ensures that blinding is as effective as possible within ethical and practical constraints. During the course of an experiment, a participant becomes unblinded if they deduce or otherwise obtain information that has been masked to them. For example, a patient who experiences a side effect may correc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Hypotheses
A hypothesis (plural hypotheses) is a proposed explanation for a phenomenon. For a hypothesis to be a scientific hypothesis, the scientific method requires that one can test it. Scientists generally base scientific hypotheses on previous observations that cannot satisfactorily be explained with the available scientific theories. Even though the words "hypothesis" and "theory" are often used interchangeably, a scientific hypothesis is not the same as a scientific theory. A working hypothesis is a provisionally accepted hypothesis proposed for further research in a process beginning with an educated guess or thought. A different meaning of the term ''hypothesis'' is used in formal logic, to denote the antecedent of a proposition; thus in the proposition "If ''P'', then ''Q''", ''P'' denotes the hypothesis (or antecedent); ''Q'' can be called a consequent. ''P'' is the assumption in a (possibly counterfactual) ''What If'' question. The adjective ''hypothetical'', meaning " ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Scientific Method
The scientific method is an empirical method for acquiring knowledge that has characterized the development of science since at least the 17th century (with notable practitioners in previous centuries; see the article history of scientific method for additional detail.) It involves careful observation, applying rigorous skepticism about what is observed, given that cognitive assumptions can distort how one interprets the observation. It involves formulating hypotheses, via induction, based on such observations; the testability of hypotheses, experimental and the measurement-based statistical testing of deductions drawn from the hypotheses; and refinement (or elimination) of the hypotheses based on the experimental findings. These are ''principles'' of the scientific method, as distinguished from a definitive series of steps applicable to all scientific enterprises. Although procedures vary from one field of inquiry to another, the underlying process is frequently th ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cost Benefit Analysis
In production, research, retail, and accounting, a cost is the value of money that has been used up to produce something or deliver a service, and hence is not available for use anymore. In business, the cost may be one of acquisition, in which case the amount of money expended to acquire it is counted as cost. In this case, money is the input that is gone in order to acquire the thing. This acquisition cost may be the sum of the cost of production as incurred by the original producer, and further costs of transaction as incurred by the acquirer over and above the price paid to the producer. Usually, the price also includes a mark-up for profit over the cost of production. More generalized in the field of economics, cost is a metric that is totaling up as a result of a process or as a differential for the result of a decision. Hence cost is the metric used in the standard modeling paradigm applied to economic processes. Costs (pl.) are often further described based on their t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Policy-based Evidence Making
"Policy-based evidence making" is a pejorative term which refers to the commissioning of research in order to support a policy which has already been decided upon. It is the converse of evidence-based policy making. As the name suggests, policy-based evidence making means working back from a predefined policy to produce underpinning evidence. Working from a conclusion to provide only supporting evidence is an approach which contradicts most interpretations of the scientific method; however, it should be distinguished from research into the effects of a policy where such research may provide either supporting or opposing evidence. In ''The politics of evidence : from evidence-based policy to the good governance of evidence'', Justin Parkhurst quotes the following example from Professor Anne Glover, then Chief Scientific Officer to the European Commission: Let's imagine a Commissioner over the weekend thinks, "Let's ban the use of credit cards in the EU because credit cards lead to ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Cost-effectiveness
Cost-effectiveness analysis (CEA) is a form of economic analysis that compares the relative costs and outcomes (effects) of different courses of action. Cost-effectiveness analysis is distinct from cost–benefit analysis, which assigns a monetary value to the measure of effect. Cost-effectiveness analysis is often used in the field of health services, where it may be inappropriate to monetize health effect. Typically the CEA is expressed in terms of a ratio where the denominator is a gain in health from a measure (years of life, premature births averted, sight-years gained) and the numerator is the cost associated with the health gain. The most commonly used outcome measure is quality-adjusted life years (QALY). Cost–utility analysis is similar to cost-effectiveness analysis. Cost-effectiveness analyses are often visualized on a plane consisting of four quadrants, the cost represented on one axis and the effectiveness on the other axis. Cost-effectiveness analysis focuses ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
GiveWell
GiveWell is an American non-profit charity assessment and effective altruism-focused organization. GiveWell focuses primarily on the cost-effectiveness of the organizations that it evaluates, rather than traditional metrics such as the percentage of the organization's budget that is spent on overhead. History In 2006 Holden Karnofsky and Elie Hassenfeld, who worked at a hedge fund in Connecticut, formed an informal group with colleagues to evaluate charities based on data and performance metrics similar to those they used at the fund, and were surprised to find the data often didn't exist. The next year, Karnofsky and Hassenfeld formed GiveWell as a nonprofit to provide financial analyst services to donors. They eventually decided to rate charities based on the metric of how much money it cost to save a life. In the first year, funding to run the nonprofit was provided by a fund called the Clear Fund into which the former members of informal club, now directors of GiveWell, h ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Rachel Glennerster
Rachel Glennerster (born 21 October 1965) is an Associate Professor of Economics at the University of Chicago. Glennerster served as chief economist for the Foreign, Commonwealth & Development Office, formerly the Department for International Development (DFID), the UK's ministry for international development cooperation, after formerly serving on DFID's Independent Advisory Committee on Development Impact. She is on leave as an affiliated researcher of the Abdul Latif Jameel Poverty Action Lab (J-PAL). She was the executive director of J-PAL until 2017 and the lead academic for Sierra Leone at the International Growth Centre, a research centre based jointly at The London School of Economics and Political Science and the University of Oxford. She helped establish the Deworm the World Initiative, a program that targets increased access to education and improved health from the elimination of intestinal worms for at-risk children and has helped "deworm" millions of children worldwi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
