Analysis that tends to be based on the statistical summary of data
Quantitative researchers typically focus on the relationship between or among variables, with a natural science-like view of social science in the backs of their minds.
Presumes one has collected data about a reasonably large, and sometimes representative, group of subjects, whether these subjects are individuals, groups, organizations, social artifacts, etc.
The data does not always come in the form of numerical data
The measure of central tendency designed for nominal level variables. The value or category that occurs most frequently. It can be computed for any variable because all ordinal and interval level variables are also nominal.
The measure of central tendency designed for ordinal level variables. The middle value when all values are arranged in order. Can also be used for interval variables because they are also ordinal variables.
Examining frequency distribution, and their percentage distribution is a good way of understanding variation in nominal or ordinal variables
Example
If you are looking at gender and discern that 100% of your sample is female and 0% is male, you know that there is no variation in gender in your sample.
Allows the reader to make an inference about the relationship between variables.
The typical cut off is 0.05, p<.05
28.
Multivariate Analysis and the Elaboration Model
Why would a researcher want to examine more than two variables at a time?
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Multivariate Analysis and the Elaboration Model
Elaboration
The process of examining the relationship between two variables by introducing the control for another variable or variables
30.
Multivariate Analysis and the Elaboration Model
Control variable
A variable that is held constant to examine the relationship between two other variables
31.
Multivariate Analysis and the Elaboration Model
Partial relationship
The relationship between an independent and a dependent variable for that part of a sample defined by one category of a control variable
32.
Multivariate Analysis and the Elaboration Model
Four kinds of elaboration
Replication
Explanation
Specification
Interpretation
33.
Multivariate Analysis and the Elaboration Model
Replication
A kind of elaboration in which the original relationship is replicated by all of the partial relationships
34.
Multivariate Analysis and the Elaboration Model
Explanation
A kind of elaboration in which the original relationship is explained away as spurious by a control for an antecedent variable
35.
Multivariate Analysis and the Elaboration Model
Specification
A kind of elaboration that permits the researcher to specify conditions under which the original relationship is particularly strong or weak
36.
Multivariate Analysis and the Elaboration Model
Interpretation
A kind of elaboration that provides an idea of the reasons why an original relationship exist without challenging the belief that the original relationship is causal.
Social anthropological versus interpretivist approaches
Social anthropologists (and others, like grounded theorists and life historians) believe that there exist behavioral regularities (for example, rules, rituals, relationships, and so on) that affect everyday life and that it should be the goal of researchers to uncover and explain those regularities.
Social anthropological versus interpretivist approaches
Interpretivists (including phenomenologists and symbolic interactionists) believe that actors, including researchers themselves, are forever interpreting situations, and that these, often quite unpredictable, interpretations largely affect what goes on.
The process of assigning observations, or data, to categories
In qualitative analysis, coding is more open-ended because both the relevant variables and their significant categories are apt to remain in question longer
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