Chapter 8 Flashcards
CA:
Describe phenomena, observe relationships and make predictors
Phenomena empirically to help us do this:
Conceptualisation of inquiry, formulation of research design and data collection plus analysis
Conceptualisation:
- Describe content variables
- Draw inference about content meanings
- Answer RQ, or hypo to about relationships among variables
- Infer from the content to its context of production and consumption
- Answer RQ or hypo about relationship among variables and non-variables
Typology of content studies
- studies only CA
- studies incorporate ca with other methods to explore influences on content
- use ca in conjunction with other methods to explore effect
Content analyis:
- One or more variables across time
multitude of factors observable through CA for their affluence on some content… - CA in conjunction - assess content or as influences on content
- CA and content as independent variable
to lines of research that combined CA and survey methods
CA should not be carried out absent an explicit hypothesis or research question to efficiently guide the design.
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Lack of explicit
Spurious
Research questions are more tentative
Unable to predict possible outcomes based on theoretical knowledge.
Correlation
Increase or decrease in one variable associated with another
Causation
from correlation is that observed changes may be coincidental
Causal relationship
- Correlation that satisfies the logical conditions for inferring a necessary connection between a change.
condition: time order
hypo cause should precede the effect - Put the third variable under control
- Control of all rival explanations for why changes in two variables are related. Rival: full range of potential and possible alternative explanations in cause effect relation.
Utilitarianism
To answer the investigators question - gold standard for evaluating research design
Good design:
Make explicit and integrate procedures for selecting a sample for analysis, content categories and units in categories, comparison and classes of inference from data
Ideal research design:
Collects a maximum amount of information with minimal expenditure of time and resources.
Evidence is not capable of a dozen other alternative interpretations
Generalisable results
Intolerance for ambiguity
Heart of research design:
Comparison of content that has theoretical importance. Compared across time or among people.