Census block: territorial grouping that may include fewer than a hundred households.
Census tract
a relatively small area generally containing a population of between 1500 and 800 persons.
Census breakdown:
city, country, state, region, and nation.
Errors of coverage:
counting mistakes made in the original collection of data (missed data, twice counted, etc.)
Classification errors:
false information about people’s attributes, such as education, income, and occupational levels.
Cross-cultural comparisons:
comparing one country to another
Problems with cross-cultural comparisons
Identical data may not be collected in every country; Data may be incomplete; Inaccurate data; Errors in data collection will result in false findings, and therefore false conclusions
Development of social indicators:
Aggregate analysis is necessary to develop yardstick for measuring and evaluating social conditions
Social indicators:
measures of change in such conditions
measures of change in such conditions as:
poverty, public safety, education, health, physical planning, formulating public policy
Timeseries data:
allows researchers to chart changes every time the analysis of numerical data arranged in time sequence, representing qualitative values of the same.....
Disaggregation
taking an existing unit of data and breaking it into finer or less comprehensive units.
Demographers:
researchers who study trends within a population
Ecological inference:
efforts to infer individual behavior from aggregate data-the process of inferring a relationship between characteristics of individuals based on group aggregate data
Ecological fallacy:
employing data collected from and about groups in order to make inferences to individuals-the fallacy of deducing a false relationship between attributes or behavior of individuals based on observing...
How to guard against an ecological fallacy:
The data level in a research study should respond with the unit of analysis referred to in the hypothesis in order to avoid committing ecological fallacy.
Ecological fallacy in reverse:
Atomistic fallacy: making incorrect statements about groups on the basis of data from the individual.
Fallacies in the interpretation of aggregate data:
Ecological Inference and ecological fallacy
Comparative research:
a form of inquiry involuting the determination of differences and similarities between two or more units of analysis.
Sources that are commonly used in comparative research: Historical analysis, Fieldwork, Surveys, Aggregate data analysis
Modern comparative research dates back to the late 1800s
Evolutionary theory:
views society as passing through a series of stages
Karl Marx:
ancient slavery – feudal serfdom – capitalism – communism.
Comparative research is usually either exclusively qualitative or quantitative in approach-but can be either:
Quantitive or qualitative
What's the first reason to do comparison research?
testing a theory to see if it holds up in a different setting with similar variables
What's the second reason to do comparison research?
2.) testing theory cross-culturally
what is the third reason to do comparison research:
3.) specifying the conditions under which theory applies
What is the fourth reason to do comparison research?
discovering the relationships among macrolevel variables
Data banks:
repositories of stored data from survey research studies
Conceptual equivalence:
the concepts used in cross-societal research much be similarly meaningful in all the cultures being compared
Measurement equivalence:
operationalizing theoretical concepts so that the resulting measures are comparable across all societies
What is a problem with measurement equivalence:
validity
Cultural Surveys:
The instrument check for validity
Courtesy Bias:
respondents may provide information that they feel will please the researcher.
What is the first problem with interviewing?
Fear that the interviewer might be a government agent
what is the second problem with interviewing?
Cultural need for third party presence
What is the third problem with interviewing?
Courtesy bias
What is the fourth problem with interviewing?
The nation as a unit of aggregation
What is the fifth problem with interviewing?
Aggregate data is generally easy to acquire
Proxies:
one or more available variables are used as indicators for the variable of actual theoretical interest (only acceptable if the data is very similar).