Exercise 3.4: Assessing the Reliability of Measures (Kevlew) 1. Two observers record whether people avert their gaze when a uniformed police officer enters the room. The consistency between the two observers' scores is the 2. The consistency of a measure over time is 3. is used to assess internal consistency and involves examining the correlations among all items from a measure. 4. Fifty students complete two versions of an implicit bias scale and their scores are correlated. This is an example of reliability. 5. In split-half reliability, the items and the items on a scale are correlated.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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