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Psychological statistics is application of formulas, theorems, numbers and laws to psychology. Statistical methods for psychology include development and application statistical theory and methods for modeling psychological data. These methods include psychometrics, factor analysis, experimental designs, and Bayesian statistics. The article ...
Dummy variables are commonly used in regression analysis to represent categorical variables that have more than two levels, such as education level or occupation. In this case, multiple dummy variables would be created to represent each level of the variable, and only one dummy variable would take on a value of 1 for each observation.
The data type is a fundamental concept in statistics and controls what sorts of probability distributions can logically be used to describe the variable, the permissible operations on the variable, the type of regression analysis used to predict the variable, etc. The concept of data type is similar to the concept of level of measurement, but ...
In data processing data are often represented by a combination of items (objects organized in rows), and multiple variables (organized in columns). Values of each variable statistically "vary" (or are distributed) across the variable's domain. A domain is a set of all possible values that a variable is allowed to have.
Wage growth (or real wage growth) is a rise of wage adjusted for inflations, often expressed in percentage. [1] In macroeconomics , wage growth is one of the main indications to measure economic growth for a long-term since it reflects the consumer's purchasing power in the economy as well as the level of living standards . [ 2 ]
The wage curve [1] is the negative relationship between the levels of unemployment and wages that arises when these variables are expressed in local terms. According to David Blanchflower and Andrew Oswald (1994, p. 5), the wage curve summarizes the fact that "A worker who is employed in an area of high unemployment earns less than an identical individual who works in a region with low ...
In this situation, the term hidden variables is commonly used (reflecting the fact that the variables are meaningful, but not observable). Other latent variables correspond to abstract concepts, like categories, behavioral or mental states, or data structures. The terms hypothetical variables or hypothetical constructs may be used in these ...
Behavioral models typically integrate insights from psychology, neuroscience and microeconomic theory. [ 3 ] [ 4 ] Behavioral economics began as a distinct field of study in the 1970s and 1980s, but can be traced back to 18th-century economists, such as Adam Smith , who deliberated how the economic behavior of individuals could be influenced by ...