Accounting or accountancy is the measurement and communication of financial information about economic entities such as businesses and corporations. The modern field was established by the Italian mathematician Luca Pacioli in 1494. Accounting, called the "language of business", measures the results of an organization's economic activities and conveys this information to a variety of users, including investors, creditors and regulators. Practitioners of accounting are known as accountants; the terms "accounting" and "financial reporting" are used as synonyms. Accounting can be divided into several fields including financial accounting, management accounting, external auditing, tax accounting and cost accounting. Accounting information systems are designed to support related activities. Financial accounting focuses on the reporting of an organization's financial information, including the preparation of financial statements, to the external users of the information, such as investors and suppliers.
The recording of financial transactions, so that summaries of the financials may be presented in financial reports, is known as bookkeeping, of which double-entry bookkeeping is the most common system. Accounting is facilitated by accounting organizations such as standard-setters, accounting firms and professional bodies. Financial statements are audited by accounting firms, are prepared in accordance with accepted accounting principles. GAAP is set by various standard-setting organizations such as the Financial Accounting Standards Board in the United States and the Financial Reporting Council in the United Kingdom; as of 2012, "all major economies" have plans to converge towards or adopt the International Financial Reporting Standards. The history of accounting is thousands of years old and can be traced to ancient civilizations; the early development of accounting dates back to ancient Mesopotamia, is related to developments in writing and money. By the time of Emperor Augustus, the Roman government had access to detailed financial information.
Double-entry bookkeeping was pioneered in the Jewish community of the early-medieval Middle East and was further refined in medieval Europe. With the development of joint-stock companies, accounting split into financial accounting and management accounting; the first work on a double-entry bookkeeping system was published by Luca Pacioli. Accounting began to transition into an organized profession in the nineteenth century, with local professional bodies in England merging to form the Institute of Chartered Accountants in England and Wales in 1880. Both the words accounting and accountancy were in use in Great Britain by the mid-1800s, are derived from the words accompting and accountantship used in the 18th century. In Middle English the verb "to account" had the form accounten, derived from the Old French word aconter, in turn related to the Vulgar Latin word computare, meaning "to reckon"; the base of computare is putare, which "variously meant to prune, to purify, to correct an account, hence, to count or calculate, as well as to think."The word "accountant" is derived from the French word compter, derived from the Italian and Latin word computare.
The word was written in English as "accomptant", but in process of time the word, always pronounced by dropping the "p", became changed both in pronunciation and in orthography to its present form. Accounting has variously been defined as the keeping or preparation of the financial records of an entity, the analysis and reporting of such records and "the principles and procedures of accounting". Accountancy refers to the occupation or profession of an accountant in British English. Accounting has several subfields or subject areas, including financial accounting, management accounting, auditing and accounting information systems. Financial accounting focuses on the reporting of an organization's financial information to external users of the information, such as investors, potential investors and creditors, it calculates and records business transactions and prepares financial statements for the external users in accordance with accepted accounting principles. GAAP, in turn, arises from the wide agreement between accounting theory and practice, change over time to meet the needs of decision-makers.
Financial accounting produces past-oriented reports—for example the financial statements prepared in 2006 reports on performance in 2005—on an annual or quarterly basis about the organization as a whole. This branch of accounting is studied as part of the board exams for qualifying as an actuary; these two types of professionals and actuaries, have created a culture of being archrivals. Management accounting focuses on the measurement and reporting of information that can help managers in making decisions to fulfill the goals of an organization. In management accounting, internal measures and reports are based on cost-benefit analysis, are not required to follow the accepted accounting principle. In 2014 CIMA created the Global Management Accounting Principles; the result of research from across 20 countries in five continents, the principles aim to guide best practice in the d
Economics is the social science that studies the production and consumption of goods and services. Economics focuses on the behaviour and interactions of economic agents. Microeconomics analyzes basic elements in the economy, including individual agents and markets, their interactions, the outcomes of interactions. Individual agents may include, for example, firms and sellers. Macroeconomics analyzes the entire economy and issues affecting it, including unemployment of resources, economic growth, the public policies that address these issues. See glossary of economics. Other broad distinctions within economics include those between positive economics, describing "what is", normative economics, advocating "what ought to be". Economic analysis can be applied throughout society, in business, health care, government. Economic analysis is sometimes applied to such diverse subjects as crime, the family, politics, social institutions, war and the environment; the discipline was renamed in the late 19th century due to Alfred Marshall, from "political economy" to "economics" as a shorter term for "economic science".
At that time, it became more open to rigorous thinking and made increased use of mathematics, which helped support efforts to have it accepted as a science and as a separate discipline outside of political science and other social sciences. There are a variety of modern definitions of economics. Scottish philosopher Adam Smith defined what was called political economy as "an inquiry into the nature and causes of the wealth of nations", in particular as: a branch of the science of a statesman or legislator a plentiful revenue or subsistence for the people... to supply the state or commonwealth with a revenue for the publick services. Jean-Baptiste Say, distinguishing the subject from its public-policy uses, defines it as the science of production and consumption of wealth. On the satirical side, Thomas Carlyle coined "the dismal science" as an epithet for classical economics, in this context linked to the pessimistic analysis of Malthus. John Stuart Mill defines the subject in a social context as: The science which traces the laws of such of the phenomena of society as arise from the combined operations of mankind for the production of wealth, in so far as those phenomena are not modified by the pursuit of any other object.
Alfred Marshall provides a still cited definition in his textbook Principles of Economics that extends analysis beyond wealth and from the societal to the microeconomic level: Economics is a study of man in the ordinary business of life. It enquires how he uses it. Thus, it is on the one side, the study of wealth and on the other and more important side, a part of the study of man. Lionel Robbins developed implications of what has been termed "erhaps the most accepted current definition of the subject": Economics is a science which studies human behaviour as a relationship between ends and scarce means which have alternative uses. Robbins describes the definition as not classificatory in "pick out certain kinds of behaviour" but rather analytical in "focus attention on a particular aspect of behaviour, the form imposed by the influence of scarcity." He affirmed that previous economists have centred their studies on the analysis of wealth: how wealth is created and consumed. But he said that economics can be used to study other things, such as war, that are outside its usual focus.
This is because war has as the goal winning it, generates both cost and benefits. If the war is not winnable or if the expected costs outweigh the benefits, the deciding actors may never go to war but rather explore other alternatives. We cannot define economics as the science that studies wealth, crime and any other field economic analysis can be applied to; some subsequent comments criticized the definition as overly broad in failing to limit its subject matter to analysis of markets. From the 1960s, such comments abated as the economic theory of maximizing behaviour and rational-choice modelling expanded the domain of the subject to areas treated in other fields. There are other criticisms as well, such as in scarcity not accounting for the macroeconomics of high unemployment. Gary Becker, a contributor to the expansion of economics into new areas, describes the approach he favours as "combin assumptions of maximizing behaviour, stable preferences, market equilibrium, used relentlessly and unflinchingly."
One commentary characterizes the remark as making economics an approach rather than a subject matter but with great specificity as to the "choice process and the type of social interaction that analysis involves." The same source reviews a range of definitions included in principles of economics textbooks and concludes that the lack of agreement need not affect the subject-matter that the texts treat. A
An audit is a systematic and independent examination of books, statutory records and vouchers of an organization to ascertain how far the financial statements as well as non-financial disclosures present a true and fair view of the concern. It attempts to ensure that the books of accounts are properly maintained by the concern as required by law. Auditing has become such a ubiquitous phenomenon in the corporate and the public sector that academics started identifying an "Audit Society"; the auditor perceives and recognises the propositions before them for examination, obtains evidence, evaluates the same and formulates an opinion on the basis of his judgement, communicated through their audit report. Any subject matter may be audited. Auditing is a safeguard measure since ancient times. Audits provide third party assurance to various stakeholders that the subject matter is free from material misstatement; the term is most applied to audits of the financial information relating to a legal person.
Other areas which are audited include: secretarial & compliance audit, internal controls, quality management, project management, water management, energy conservation. As a result of an audit, stakeholders may evaluate and improve the effectiveness of risk management and the governance process over the subject matter; the word audit is derived from a Latin word "audire" which means "to hear". During the medieval times when manual book-keeping was prevalent, auditors in Britain used to hear the accounts read out for them and checked that the organisation's personnel were not negligent or fraudulent. Moyer identified. Chatfield documented that early United States auditing was viewed as verification of bookkeeping detail. An information technology audit, or information systems audit, is an examination of the management controls within an Information technology infrastructure; the evaluation of obtained evidence determines if the information systems are safeguarding assets, maintaining data integrity, operating to achieve the organization's goals or objectives.
These reviews may be performed in conjunction with a financial statement audit, internal audit, or other form of attestation engagement. Due to strong incentives to misstate financial information, auditing has become a legal requirement for many entities who have the power to exploit financial information for personal gain. Traditionally, audits were associated with gaining information about financial systems and the financial records of a company or a business. Financial audits are performed to ascertain the validity and reliability of information, as well as to provide an assessment of a system's internal control; as a result of this, a third party can express an opinion of the person / organisation / system in question. The opinion given on financial statements will depend on the audit evidence obtained. Due to constraints, an audit seeks to provide only reasonable assurance that the statements are free from material error. Hence, statistical sampling is adopted in audits. In the case of financial audits, a set of financial statements are said to be true and fair when they are free of material misstatements – a concept influenced by both quantitative and qualitative factors.
But the argument that auditing should go beyond just true and fair is gaining momentum. And the US Public Company Accounting Oversight Board has come out with a concept release on the same. Cost accounting is a process for verifying the cost of manufacturing or producing of any article, on the basis of accounts measuring the use of material, labor or other items of cost. In simple words, the term, cost audit means a systematic and accurate verification of the cost accounts and records, checking for adherence to the cost accounting objectives. According to the Institute of Cost and Management Accountants, cost audit is "an examination of cost accounting records and verification of facts to ascertain that the cost of the product has been arrived at, in accordance with principles of cost accounting."In most nations, an audit must adhere to accepted standards established by governing bodies. These standards assure third parties or external users that they can rely upon the auditor's opinion on the fairness of financial statements or other subjects on which the auditor expresses an opinion.
The audit must therefore be accurate, containing no additional misstatements or errors. In the US, audits of publicly traded companies are governed by rules laid down by the Public Company Accounting Oversight Board, established by Section 404 of the Sarbanes–Oxley Act of 2002; such an audit is called an integrated audit, where auditors, in addition to an opinion on the financial statements, must express an opinion on the effectiveness of a company's internal control over financial reporting, in accordance with PCAOB Auditing Standard No. 5. There are new types of integrated auditing becoming available that use unified compliance material. Due to the increasing number of regulations and need for operational transparency, organizations are adopting risk-based audits that can cover multiple regulations and standards from a single audit event; this is a new but necessary approach in some sectors to ensure that all the necessary governance requirements can be met without duplicating effort from both audit and audit hosting resources.
The purpose of an assessment is to calculate a value for it. Although the process of producing an assessment may involve an audit
Econometrics is the application of statistical methods to economic data in order to give empirical content to economic relationships. More it is "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference". An introductory economics textbook describes econometrics as allowing economists "to sift through mountains of data to extract simple relationships"; the first known use of the term "econometrics" was by Polish economist Paweł Ciompa in 1910. Jan Tinbergen is considered by many to be one of the founding fathers of econometrics. Ragnar Frisch is credited with coining the term in the sense. A basic tool for econometrics is the multiple linear regression model. Econometric theory uses statistical theory and mathematical statistics to evaluate and develop econometric methods. Econometricians try to find estimators that have desirable statistical properties including unbiasedness and consistency.
Applied econometrics uses theoretical econometrics and real-world data for assessing economic theories, developing econometric models, analysing economic history, forecasting. A basic tool for econometrics is the multiple linear regression model. In modern econometrics, other statistical tools are used, but linear regression is still the most used starting point for an analysis. Estimating a linear regression on two variables can be visualised as fitting a line through data points representing paired values of the independent and dependent variables. For example, consider Okun's law, which relates GDP growth to the unemployment rate; this relationship is represented in a linear regression where the change in unemployment rate is a function of an intercept, a given value of GDP growth multiplied by a slope coefficient β 1 and an error term, ε: Δ Unemployment = β 0 + β 1 Growth + ε. The unknown parameters β β 1 can be estimated. Here β 1 is estimated to be −1.77 and β 0 is estimated to be 0.83.
This means that if GDP growth increased by one percentage point, the unemployment rate would be predicted to drop by 1.77 points. The model could be tested for statistical significance as to whether an increase in growth is associated with a decrease in the unemployment, as hypothesized. If the estimate of β 1 were not different from 0, the test would fail to find evidence that changes in the growth rate and unemployment rate were related; the variance in a prediction of the dependent variable as a function of the independent variable is given in polynomial least squares. Econometric theory uses statistical theory and mathematical statistics to evaluate and develop econometric methods. Econometricians try to find estimators that have desirable statistical properties including unbiasedness and consistency. An estimator is unbiased. Ordinary least squares is used for estimation since it provides the BLUE or "best linear unbiased estimator" given the Gauss-Markov assumptions; when these assumptions are violated or other statistical properties are desired, other estimation techniques such as maximum likelihood estimation, generalized method of moments, or generalized least squares are used.
Estimators that incorporate prior beliefs are advocated by those who favour Bayesian statistics over traditional, classical or "frequentist" approaches. Applied econometrics uses theoretical econometrics and real-world data for assessing economic theories, developing econometric models, analysing economic history, forecasting. Econometrics may use standard statistical models to study economic questions, but most they are with observational data, rather than in controlled experiments. In this, the design of observational studies in econometrics is similar to the design of studies in other observational disciplines, such as astronomy, epidemiology and political science. Analysis of data from an observational study is guided by the study protocol, although exploratory data analysis may be useful for generating new hypotheses. Economics analyses systems of equations and inequalities, such as supply and demand hypothesized to be in equilibrium; the field of econometrics has developed methods for identification and estimation of simultaneous-equation models.
These methods are analogous to methods used in other areas of science, such as the field of system identification in systems analysis and control theory. Such methods may allow researchers to estimate models and investigate their empirical consequences, without directly manipulating the system. One of the fundamental statistical methods used by econometricians is regression analysis. Regression methods are important i
A scientific control is an experiment or observation designed to minimize the effects of variables other than the independent variable. This increases the reliability of the results through a comparison between control measurements and the other measurements. Scientific controls are a part of the scientific method. Controls eliminate alternate explanations of experimental results experimental errors and experimenter bias. Many controls are specific to the type of experiment being performed, as in the molecular markers used in SDS-PAGE experiments, may have the purpose of ensuring that the equipment is working properly; the selection and use of proper controls to ensure that experimental results are valid can be difficult. Control measurements may be used for other purposes: for example, a measurement of a microphone's background noise in the absence of a signal allows the noise to be subtracted from measurements of the signal, thus producing a processed signal of higher quality. For example, if a researcher feeds an experimental artificial sweetener to sixty laboratory rats and observes that ten of them subsequently become sick, the underlying cause could be the sweetener itself or something unrelated.
Other variables, which may not be obvious, may interfere with the experimental design. For instance, the artificial sweetener might be mixed with a dilutant and it might be the dilutant which causes the effect. To control for the effect of the dilutant, the same test is run twice. Now the experiment is controlled for the dilutant and the experimenter can distinguish between sweetener and non-treatment. Controls are most necessary where a confounding factor cannot be separated from the primary treatments. For example, it may be necessary to use a tractor to spread fertilizer where there is no other practicable way to spread fertilizer; the simplest solution is to have a treatment where a tractor is driven over plots without spreading fertilizer and in that way the effects of tractor traffic are controlled. The simplest types of control are negative and positive controls, both are found in many different types of experiments; these two controls, when both are successful, are sufficient to eliminate most potential confounding variables: it means that the experiment produces a negative result when a negative result is expected, a positive result when a positive result is expected.
Where there are only two possible outcomes, e.g. positive or negative, if the treatment group and the negative control both produce a negative result, it can be inferred that the treatment had no effect. If the treatment group and the negative control both produce a positive result, it can be inferred that a confounding variable is involved in the phenomenon under study, the positive results are not due to the treatment. In other examples, outcomes might be measured as lengths, percentages, so forth. In the drug testing example, we could measure the percentage of patients cured. In this case, the treatment is inferred to have no effect when the treatment group and the negative control produce the same results; some improvement is expected in the placebo group due to the placebo effect, this result sets the baseline which the treatment must improve upon. If the treatment group shows improvement, it needs to be compared to the placebo group. If the groups show the same effect the treatment was not responsible for the improvement.
The treatment is only effective if the treatment group shows more improvement than the placebo group. Positive controls are used to assess test validity. For example, to assess a new test's ability to detect a disease we can compare it against a different test, known to work; the well-established test is the positive control, since we know that the answer to the question is yes. In an enzyme assay to measure the amount of an enzyme in a set of extracts, a positive control would be an assay containing a known quantity of the purified enzyme; the positive control should give a large amount of enzyme activity, while the negative control should give low to no activity. If the positive control does not produce the expected result, there may be something wrong with the experimental procedure, the experiment is repeated. For difficult or complicated experiments, the result from the positive control can help in comparison to previous experimental results. For example, if the well-established disease test was determined to have the same effectiveness as found by previous experimenters, this indicates that the experiment is being performed in the same way that the previous experimenters did.
When possible, multiple positive controls may be used — if there is more than one disease test, known to be effective, more than one might be tested. Multiple positive controls allow finer comparisons of the results if the expected results from the positive controls have different sizes. For example, in the enzyme assay discussed above, a standard curve may be produced by making many different samples with different quantities of the enzyme. In randomization, the groups that receive different experimental treatments are determined randomly. While this does not ensure that there are no differences between the groups, it ensures that the differences are distributed thus correcting for systematic errors. For example, in experiments wher
An academy is an institution of secondary education, higher learning, research, or honorary membership. Academia is the worldwide group composed of professors and researchers at institutes of higher learning; the name traces back to Plato's school of philosophy, founded 385 BC at Akademia, a sanctuary of Athena, the goddess of wisdom and skill, north of Athens, Greece. The word comes from the Academy in ancient Greece, which derives from Akademos. Outside the city walls of Athens, the gymnasium was made famous by Plato as a center of learning; the sacred space, dedicated to the goddess of wisdom, had been an olive grove, hence the expression "the groves of Academe". In these gardens, the philosopher Plato conversed with followers. Plato developed his sessions into a method of teaching philosophy and in 387 BC, established what is known today as the Old Academy. By extension academia has come to mean the cultural accumulation of knowledge, its development and transmission across generations and its practitioners and transmitters.
In the 17th century, British and French scholars used the term to describe types of institutions of higher learning. Before Akademia was a school, before Cimon enclosed its precincts with a wall, it contained a sacred grove of olive trees dedicated to Athena, the goddess of wisdom, outside the city walls of ancient Athens; the archaic name for the site was Hekademia, which by classical times evolved into Akademia and was explained, at least as early as the beginning of the 6th century BC, by linking it to an Athenian hero, a legendary "Akademos". The site of Akademia was sacred to other immortals. Plato's immediate successors as "scholarch" of Akademia were Speusippus, Polemon and Arcesilaus. Scholarchs include Lacydes of Cyrene, Carneades and Philo of Larissa. Other notable members of Akademia include Aristotle, Heraclides Ponticus, Eudoxus of Cnidus, Philip of Opus and Antiochus of Ascalon. After a lapse during the early Roman occupation, Akademia was refounded as a new institution of some outstanding Platonists of late antiquity who called themselves "successors" and presented themselves as an uninterrupted tradition reaching back to Plato.
However, there cannot have been any geographical, economic or personal continuity with the original Academy in the new organizational entity. The last "Greek" philosophers of the revived Akademia in the 6th century were drawn from various parts of the Hellenistic cultural world and suggest the broad syncretism of the common culture: Five of the seven Akademia philosophers mentioned by Agathias were Syriac in their cultural origin: Hermias and Diogenes, Isidorus of Gaza, Damascius of Syria, Iamblichus of Coele-Syria and even Simplicius of Cilicia; the emperor Justinian closed the school in AD 529, a date, cited as the end of Antiquity. According to the sole witness, the historian Agathias, its remaining members looked for protection under the rule of Sassanid king Khosrau I in his capital at Ctesiphon, carrying with them precious scrolls of literature and philosophy, to a lesser degree of science. After a peace treaty between the Persian and the Byzantine empire in 532 guaranteed their personal security, some members found sanctuary in the pagan stronghold of Harran, near Edessa.
One of the last leading figures of this group was Simplicius, a pupil of Damascius, the last head of the Athenian school. It has been speculated. After his exile, may have travelled to Harran, near Edessa. From there, the students of an Academy-in-exile could have survived into the 9th century, long enough to facilitate the Arabic revival of the Neoplatonist commentary tradition in Baghdad. In ancient Greece, after the establishment of the original Academy, Plato's colleagues and pupils developed spin-offs of his method. Arcesilaus, a Greek student of Plato established the Middle Academy. Carneades, another student, established the New Academy. In 335 BC, Aristotle refined the method with his own theories and established the Lyceum in another gymnasium; the library of Alexandria in Egypt was frequented by intellectuals from Africa and Asia studying various aspects of philosophy and mathematics. The University of Timbuktu was a medieval university in Timbuktu, present-day Mali, which comprised three schools: the Mosque of Djinguereber, the Mosque of Sidi Yahya, the Mosque of Sankore.
During its zenith, the university had an average attendance of around 25,000 students within a city of around 100,000 people. In China a higher education institution Shang Xiang was founded by Shun in the Youyu era before the 21st century BC; the Imperial Central Academy at Nanjing, founded in 258, was a result of the evolution of Shang Xiang and it became the first comprehensive institution combining education and research and was divided into five faculties in 470, which became Nanjing University. In the 8th century another kind of institution of learning emerged, named Shuyuan, which were privately owned. There were thousands of Shuyuan recorded in ancient times; the degrees from them varied from one to another and those advanced Shuyuan such as Bailudong Shuyuan and Yuelu Shuyuan can be classified as higher institutions of learning. Taxila or Takshashila, in ancient India, modern-day Pakistan, was an early centre of learning, near present-day Islamabad in the city of Taxila, it is considered as one
Social science is a category of academic disciplines, concerned with society and the relationships among individuals within a society. Social science as a whole has many branches; these social sciences include, but are not limited to: anthropology, communication studies, history, human geography, linguistics, political science, public health, sociology. The term is sometimes used to refer to the field of sociology, the original "science of society", established in the 19th century. For a more detailed list of sub-disciplines within the social sciences see: Outline of social science. Positivist social scientists use methods resembling those of the natural sciences as tools for understanding society, so define science in its stricter modern sense. Interpretivist social scientists, by contrast, may use social critique or symbolic interpretation rather than constructing empirically falsifiable theories, thus treat science in its broader sense. In modern academic practice, researchers are eclectic, using multiple methodologies.
The term "social research" has acquired a degree of autonomy as practitioners from various disciplines share in its aims and methods. The history of the social sciences begins in the Age of Enlightenment after 1650, which saw a revolution within natural philosophy, changing the basic framework by which individuals understood what was "scientific". Social sciences came forth from the moral philosophy of the time and were influenced by the Age of Revolutions, such as the Industrial Revolution and the French Revolution; the social sciences developed from the sciences, or the systematic knowledge-bases or prescriptive practices, relating to the social improvement of a group of interacting entities. The beginnings of the social sciences in the 18th century are reflected in the grand encyclopedia of Diderot, with articles from Jean-Jacques Rousseau and other pioneers; the growth of the social sciences is reflected in other specialized encyclopedias. The modern period saw "social science" first used as a distinct conceptual field.
Social science was influenced by positivism, focusing on knowledge based on actual positive sense experience and avoiding the negative. Auguste Comte used the term "science sociale" to describe the field, taken from the ideas of Charles Fourier. Following this period, there were five paths of development that sprang forth in the social sciences, influenced by Comte on other fields. One route, taken was the rise of social research. Large statistical surveys were undertaken in various parts of the United States and Europe. Another route undertaken was initiated by Émile Durkheim, studying "social facts", Vilfredo Pareto, opening metatheoretical ideas and individual theories. A third means developed, arising from the methodological dichotomy present, in which social phenomena were identified with and understood; the fourth route taken, based in economics, was developed and furthered economic knowledge as a hard science. The last path was the correlation of knowledge and social values. In this route and prescription were non-overlapping formal discussions of a subject.
Around the start of the 20th century, Enlightenment philosophy was challenged in various quarters. After the use of classical theories since the end of the scientific revolution, various fields substituted mathematics studies for experimental studies and examining equations to build a theoretical structure; the development of social science subfields became quantitative in methodology. The interdisciplinary and cross-disciplinary nature of scientific inquiry into human behaviour and environmental factors affecting it, made many of the natural sciences interested in some aspects of social science methodology. Examples of boundary blurring include emerging disciplines like social research of medicine, neuropsychology and the history and sociology of science. Quantitative research and qualitative methods are being integrated in the study of human action and its implications and consequences. In the first half of the 20th century, statistics became a free-standing discipline of applied mathematics.
Statistical methods were used confidently. In the contemporary period, Karl Popper and Talcott Parsons influenced the furtherance of the social sciences. Researchers continue to search for a unified consensus on what methodology might have the power and refinement to connect a proposed "grand theory" with the various midrange theories that, with considerable success, continue to provide usable frameworks for massive, growing data banks; the social sciences will for the foreseeable future be composed of different zones in the research of, sometime distinct in approach toward, the field. The term "social science" may refer either to the specific sciences of society established by thinkers such as Comte, Durkheim and Weber, or more to all disciplines outside of "noble science" and arts. By the late 19th century, the academic social sciences were constituted of five fields: jurisprudence and amendment of the law, health and trade, art. Around the start of the 21st century, the expanding domain of economics in the social sciences has been described as economic imperialism.
The social science disciplines are branches of knowledge taught and researched at the college or university level. Social science disciplines are defined and rec