Lesson 1: Introduction to Plan Making and Implementation Flashcards
(127 cards)
What are the 3 main components to the plan making process?
- goals and visions
- Analysis of current problems
- Creation and evaluation of alternatives
Survey
a research method that allows one to collect data on a topic that cannot be directly observed, such as opinions on downtown retailing opportunities
sampling frame
The population of interest
cross-sectional survey
A cross-sectional survey gathers information about a population at a single point in time
longitudinal surveys
Gathers information about a population over a period of time
Group-administered surveys
Respondents are gathered in a group, questionnaires are handed out to each and the questionnaires are completed within the group situation
Probability Sampling
every member of the population has an equal chance of being selected into the study
GOOD FOR QUANTITATIVE ANALYSIS
Non-probability Sampling
the members of the population will not have an equal chance of being selected, and in many cases, there will be members of the population who have no chance of being selected.
GOOD FOR QUALITATIVE ANALYSIS
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.
cluster sample
where a specific target group out of the general population is sampled from, such as the elderly, or residents of a specific neighborhood.
Nominal data
categories that do not have a natural order or ranking
Ordinal data
An ordinal scale is one where the order matters but not the difference between values.
Interval data
An interval scale is one where there is order and the difference between two values is meaningful.
Ratio data
A ratio variable, has all the properties of an interval variable, and also has a clear definition of 0.0. When the variable equals 0.0, there is none of that variable.
Quantitative variables
represent an interval or ratio measurement
qualitative variables
represent nominal and ordinal measurement
Discrete variables
are countable in a finite amount of time.
Continuous variables
can take on an infinite number of values. Example: Time
population
is the totality of some entity.
sample
a subset of the population
Descriptive Statistics
describe the characteristics of the distribution of values in a population or in a sample.
Inferential Statistics
use probability theory to determine characteristics of a population based on observations made on a sample from that population.
Distribution
is the overall shape of the observed data.
data range
difference between the highest and lowest value in a data set