4. The Nature of Quantitative Research Flashcards
Quantitative research entails what two philosophical assumptions?
- Epistemologically positivist
- Ontologically objectivist
what kind of relationship does quantitative research have between theory and research?
a deductive relationship: theory then observation (top to bottom)
quantitative research has a preference for positivism (natural science approach to research) and what conception of social reality?
objectivist
What is the main major concern for quantitative research?
measurement validity (whether an indicator devised to gauge a concept really does so)
what are the twelve steps of quantitative research?
- theory
- hypothesis
- research design
- devise measures of concepts
- select research site(s)
- ethics review
- select research participants
- administer research instruments/collect data
- process data
- analyze data
- findings/conclusions
- write up findings/conclusions
Operationalization
the process of converting concepts into indicators or into specific questions in a questionnaire or an interview
Concepts
The ideas or mental representations of things (ex. academic achievement, leadership, crime, research ethics, gatekeepers)
concepts may be either independent (the variable that is manipulated) or…
…dependent variables (the variable that is being measured)
review of independent variables/dependent variables. definition and an example.
Independent variables are manipulated to see if they have an impact on dependent variables
Dependent is the outcome (like headache pain)
Independent is the manipulated variable (like taking Tylenol or not)
why do we measure concepts? (3)
- finding delineation of small or fine differences between variables
- gauge those differences with consistency
- correlation
what are the two types of definition of concepts and how do you define it?
- nominal: dictionary definition
- operational: describes how the concept is to be measured (ex. political party may be measured by asking people xyz questions)
Indicators
tell us (indicate) that there may be a link and indicate how strong that link may be
usually, how many indicators are adequate for each concept?
one, but it is advantageous to use more than one indicator of a concept (often done in survey)
what gets these results?
- reduces the likelihood of misclassifying some people
- ensures definition of the concept is understood correctly
- gets a wider range of issues related to concept and allows the researcher to make finer distinctions
- allows for factor analysis
- helps weed out response sets
using multiple indicators (more than one variable) to measure a concept
what are basic principles to observe when as a researcher, you derive codes (labels or titles given to the themes or categories) (4)
- assign numbers to the codes
- categories must not overlap
- categories must be exhaustive
- there must be clear rules for how codes are applied
What is reliability concerned with?
Would we get the same results if done again? the consistency of measures
what are the three different meanings of reliability?
- stability over time
- internal reliability (would we get the same results?)
- inter-observer consistency (will multiple tests get the same results?)
Whether the results of a measure fluctuate as time progresses, assuming that what is being measured is not changing
can be measured using the test-retest method
It is extremely difficult to quantify this over time because of the number of factors that may come into play over the passage of time
stability over time (factor of reliability)
Whether multiple measure that are administered in one sitting are consistent
can be measured using Cronbach’s alpha coefficient (0-1) or the split-half method
internal reliability/internal consistency
what’s considered a generally accepted minimum of internal reliability (cronbach’s alpha coefficient)
0.8 on a scale of 0-1
All observers should classify behaviour or attitudes in the same way.
ex. if two observers are recording the amount of aggression children display on a particular playground, their estimates should agree
Inter-observer Consistency
concerned with whether one is measuring what one wants to measure
Measurement validity
what are four types of validity?
- Face validity
- Concurrent validity
- Construct validity
- Convergent validity
Established if, at first glance, the measure appears to be valid
Face validity
Established if the measure correlates with some criterion thought to be relevant to the concept
Concurrent validity
Established if the concepts relate to each other in a way that is consistent with the researcher’s theory. Confirmed by seeing that the results match what would be predicted given the theory
Construct validity
Established if a measure of a concept correlates with a second measure of the concept that uses a different measurement technique
Convergent Validity
A measure that is not reliable will not be…
…valid (An inconsistency in the way the data was gathered makes the data more or less unusable)
A measure may be invalid but still be…
…reliable. (invalid because it didn’t “fit” with the project, but may be useful for a different kind of study)
- measurement
- establishing causality (internal validity)
- generalization of findings to those not studied
- representative sample
- probability sampling
- replication
the main goals of quantitative research
What is a critique of quantitative research from a qualitative standpoint?
Quantitative researchers fail to distinguish people and social institutions from “the world of nature” (we cannot test humans the same way we test natural sciences)
second critique of quantitative research
The measurement process produces an artificial and false sense of precision and accuracy (For example, problems can arise if people interpret the same survey item differently)
third critique of quantitative research
Reliance on instruments and procedure produces a disjuncture between research and everyday life
fourth critique of quantitative research
The analysis of relationships between variables ignores people’s everyday experiences and how they are defined and interpreted
fifth critique of quantitative research
Explanations for findings may not address the perceptions of the people to whom the findings purportedly pertain