Chapter 3 - Quantitative Research Flashcards
What are concepts vis-a-vis measures?
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What are they useful for?
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Concepts are:
- building blo0cks of theory
- lables to elements of social world
- e.g. temperature (concept) vs. degree fahrenheit (measure)
What are they useful for?
- providing explanation of aspect of social world
- standing for things we want to explain
- giving a basis for meaning variation
What are idnicators of vis a vis measures?
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Why use more than one indicator?
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- to measure concept -> important to have indicators standing for the concept
- less directly quantifiable than measures (e.g. job satisfaction)
- ## multiple indicator measures (concepts with different dimensions)
- single does only cover portion of concept
- capturing different dimensions
- finer disctintion between individuals
What does reliability mean?
W I I
- stability - measure stable over time? | test-retest method | testing on one occasion and then readministering it to sample on another occasion
- internal reliability - are the indicators consistent? | split half method
- inter- observer consistency - is the measure consitent between observers?
What are the factors to measure high quality quantitative researchers?
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- validity / measurement
- causality
- generalisation
- replication
What does validity mean in terms of indicator?
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does the indicsator really measure the concept?
F P C C C
- face validity - right for the concept?
- concurrent validity - supported by relevant criterion today
- predictive validity - supported by relevant criterion tomorrow
- construct validity - useful hypotheses produced?
- convergent validity - supported by results fro other methods
What does casuality mean in terms of indicator?
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Internal Validity
- not only describing, but also explaining
- idea of independent (cause) and dependent variables (effect)
- cause precedes the effect in time (temporal precedence)
- covariation: cause and effect are related
- nonspuriosness: no plausible explanations for the observed covariation
What is meant by generalization in terms of indicator?
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What are limits to generalization?
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- can findings be generelaized beyond confines of the particular context?
- can findings be generalized from sample to population?
- ## how representative are the samples?
- time, historical events, cohort effects (results no longer relevant at some point)
- generalization might only count to population of selected sample
What is meant by replication in terms of indicator?
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- minimizing contamination from researcher biases or values
- explicit description of procedures
- control of conditions of study
- ability to replicate in differing contexts
What is criticism towards quantitative research?
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Is it always like this?
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- reliance on intruments and measurements (lack of ecological validity)
- very static view of social life
- whether objects in the social world and social phenomena?
- ## artificial precision and accuracy
- is a design typical approach
- useful as a GUIDE and practice
- discrepancy between ideal type and actual practice of BR
- pragmatic concerns mean that researchers may not adhere rigidly to these principles
How can the discrepancy between ideal and typical approaches be explained?
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- quantitative research is usually deductive
- but measurements sometimes leading to indictuve theorising -> factors give rise to concepts, rather than making them operational
- bryman (1988) calls this reverse operationism