Intro - Census Flashcards
Cross Sectional Survey
A cross-sectional survey gathers information about a population at a single point in time.
longitudinal surveys
A longitudinal surveys gathers information over a period of time
Written Surveys
Written surveys are very popular when a planner is trying to obtain information from a broad audience, such as general opinions about the community
This is a low-cost survey method that is convenient for participants because they can complete the survey at their leisure. However, mail surveys have a low response rate, averaging around 20 percent.
Group-Administered Survey
Group-administered surveys are appropriate when there is a specific population that a planner is trying to target.
Allows a high and quick response rate. The difficulty with administering this survey is getting everyone together to complete the survey.
Ex. end of class survey
This survey method requires a small sample size.
Drop-off survey
A Drop-off survey allows the survey to be dropped off at someone’s residence or business… completed at leisure
Response rates are higher than with a mail survey because the personal contact made.
This method can be expensive because of the time required to distribute the surveys.
The sample is generally smaller than with a mail survey.
Phone surveys
Phone surveys are useful when you need yes/no answers.
allow the interviewer to follow up and gain further explanation on answers.
The response rate varies greatly, depending on the ability to reach potential respondents.
Phone surveys are usually more expensive than mail or internet-based surveys. Phone and in-person interviews can be biased due to interaction with the interviewer.
Long questions and those with multiple answers are difficult to administer using this method.
Online surveys
inexpensive and generate quick responses.
Electronic surveys have a higher response rate than written or interview surveys.
probability sampling and types
In probability sampling, there is a direct mathematical relation between the sample and the population, so that precise conclusions can be drawn.
Example of probability sampling are random samples, where everyone has the same chance of being selected to participate in the survey, and systematic, stratified or cluster sampling, where special groups are targeted.
stratified sampling
in stratified sampling, the population is divided into separate groups or classes, from which a sample is drawn such that the classes in the population are represented by the classes in the sample. Most electoral samples are this.
Example: % freshmen, % soph, % junior, % senior
Cluster sample
A cluster sample is a special form of stratified sampling, where a specific target group out of the general population is sampled from, such as the elderly, or residents of a specific neighborhood or street.
non-probability sampling and examples
non-probability sampling, there is no precise connection between the sample and the population
Convenience - individuals readily available
Snowball - one person surveyed suggests the next
volunteer sample consists of self-selected respondents
Nominal data
Nominal data are classified into mutually exclusive groups or categories and lack intrinsic order. A zoning classification, social security number, and sex are examples of nominal data.
Labeling of categories 1, 2, 3
Ordinal Data
Ordinal data are ordered categories implying a ranking of the observations.
Interval Data
Interval data is data that has an ordered relationship where the difference between the scales has a meaningful interpretation.
Ex: temperature
Ratio Data
Ratio data is the gold standard of measurement, where both absolute and relative differences have a meaning. The classic example of ratio data is a distance measure, where the difference between 40 and 30 miles is the same as the difference between 30 and 20 miles, and in addition, 40 miles is twice as far as 20 miles.
Continuous vs. Discrete variable
Continuous variables can take an infinite number of values, both positive and negative, and with as fine a degree of precision as desired.
Discrete variables can only take on a finite number of distinct values.
Ex: count of the number of events, such as the number of accidents per month. Such counts cannot be negative, and only take on integer values, such as 1, 28, or 211.
Normal Distribution
95% of the observations that follow a normal distribution are within two standard deviations from the mean
Variance
The variance is the average squared deviation from the mean.
A larger variance means a greater spread
around the mean (flatter distribution), a smaller variance a narrower spread (a spikier distribution).
Std. Deviation
The standard deviation is the square root of the variance
The symptomatic method of population projection
The symptomatic method uses any available data indirectly related to population size, such as housing starts, or new drivers licenses.
cohort survival method
The cohort survival method uses the current population plus natural increase (more births, fewer deaths) and net migration (more in-migration, less out-migration) to calculate a future population. The population is calculated for men and women in specific age groups.
The cohort survival method provides the most accurate population projection but requires a large amount of data.
Economic base analysis
Economic base analysis looks at basic and non-basic economic activities. Basic activities are those that can be exported, while non-basic activities are those that are locally oriented. The exporting industries make up the economic base of a region.
This uses a location quotient is calculated for each industry.
The exporting industries make up the economic base of a region.