The outcome variable in an analysis is called the
A dependent variable is a variable whose value depends upon independent variable s. The dependent variable is what is being measured in an experiment or evaluated in a mathematical equation. The dependent variable is sometimes called "the outcome variable." Show
In a simple mathematical equation, for example: a = b/c the dependent variable, a , is determined by the values of b and c . Here's a simple example: A city planner needs to compare the number of drivers who go through red lights between 8 a.m. and 9 a.m. with the number of drivers who do so between 9 a.m. and 10 a.m. In this scenario, the time span is the independent variable and the difference in the number of drivers going through red lights during those time spans is the dependent variable. This was last updated in March 2008 Continue Reading About dependent variable
All experiments examine some kind of variable(s). A variable is not only something that we measure, but also something that we can manipulate and something we can control for. To understand the characteristics of variables and how we use them in research, this guide is divided into three main sections. First, we illustrate the role of dependent and independent variables. Second, we discuss the difference between experimental and non-experimental research. Finally, we explain how variables can be characterised as either categorical or continuous. Dependent and Independent VariablesAn independent variable, sometimes called an experimental or predictor variable, is a variable that is being manipulated in an experiment in order to observe the effect on a dependent variable, sometimes called an outcome variable. Imagine that a tutor asks 100 students to complete a maths test. The tutor wants to know why some students perform better than others. Whilst the tutor does not know the answer to this, she thinks that it might be because of two reasons: (1) some students spend more time revising for their test; and (2) some students are naturally more intelligent than others. As such, the tutor decides to investigate the effect of revision time and intelligence on the test performance of the 100 students. The dependent and independent variables for the study are: Dependent Variable: Test Mark (measured from 0 to 100) Independent Variables: Revision time (measured in hours) Intelligence (measured using IQ score) The dependent variable is simply that, a variable that is dependent on an independent variable(s). For example, in our case the test mark that a student achieves is dependent on revision time and intelligence. Whilst revision time and intelligence (the independent variables) may (or may not) cause a change in the test mark (the dependent variable), the reverse is implausible; in other words, whilst the number of hours a student spends revising and the higher a student's IQ score may (or may not) change the test mark that a student achieves, a change in a student's test mark has no bearing on whether a student revises more or is more intelligent (this simply doesn't make sense). Therefore, the aim of the tutor's investigation is to examine whether these independent variables - revision time and IQ - result in a change in the dependent variable, the students' test scores. However, it is also worth noting that whilst this is the main aim of the experiment, the tutor may also be interested to know if the independent variables - revision time and IQ - are also connected in some way. In the section on experimental and non-experimental research that follows, we find out a little more about the nature of independent and dependent variables. Experimental and Non-Experimental Research
Categorical and Continuous VariablesCategorical variables are also known as discrete or qualitative variables. Categorical variables can be further categorized as either nominal, ordinal or dichotomous.
Continuous variables are also known as quantitative variables. Continuous variables can be further categorized as either interval or ratio variables.
Ambiguities in classifying a type of variableIn some cases, the measurement scale for data is ordinal, but the variable is treated as continuous. For example, a Likert scale that contains five values - strongly agree, agree, neither agree nor disagree, disagree, and strongly disagree - is ordinal. However, where a Likert scale contains seven or more value - strongly agree, moderately agree, agree, neither agree nor disagree, disagree, moderately disagree, and strongly disagree - the underlying scale is sometimes treated as continuous (although where you should do this is a cause of great dispute). It is worth noting that how we categorise variables is somewhat of a choice. Whilst we categorised gender as a dichotomous variable (you are either male or female), social scientists may disagree with this, arguing that gender is a more complex variable involving more than two distinctions, but also including measurement levels like genderqueer, intersex and transgender. At the same time, some researchers would argue that a Likert scale, even with seven values, should never be treated as a continuous variable. What are outcome variables?An outcome variable is an event or metric that can be observed and measured in a valid fashion. Within applied statistics and research, outcome variables can be categorical (non-parametric statistics), ordinal (non-parametric statistics), or continuous (parametric statistics).
What is the outcome variable in an analysis is called quizlet?Reliability and validity specifically relate to. the quality of the data themselves. The outcome variable in an analysis is called... the dependent variable.
What is a variable in analysis?What is a variable? A variable is any characteristics, number, or quantity that can be measured or counted. A variable may also be called a data item. Age, sex, business income and expenses, country of birth, capital expenditure, class grades, eye colour and vehicle type are examples of variables.
What type of variable is the outcome of the study?A dependent variable is one being measured in an experiment, reflecting an outcome. Researchers do not directly control this variable.
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