University of Michigan
College of Architecture and Urban
Planning
UP504 •
Common Terms and Concepts used in Urban Planning Methods
last updated: Tuesday, January 9, 2007
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University of Michigan |
UP504 •
Common Terms and Concepts used in Urban Planning Methods
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aggregation vs. disaggregation |
ANOVA |
asymptote |
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basic vs. applied research |
basic/non-basic employment |
beta weights |
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bias |
binomial distribution |
bivariate |
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calibration and prediction |
case study research |
causation |
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census |
Central Limit Theorem |
chi-square |
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cluster analysis |
clustered vs. stratified sampling |
coefficient and constant of regression |
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cohort data |
cohort survival method |
compound growth |
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concept vs. measure |
confidence interval |
constant vs. current dollars |
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control variable |
correlation |
correlation coefficients |
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cost-benefit analysis (including giving value to non-priced items; e.g., cultural and environmental resources) |
critical path and slack time |
critical region |
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cross-tabulations |
descriptive vs. inferential statistics |
dichotomous variables |
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difference of means test |
difference of proportions test |
discount rate and interest rate |
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dummy variable |
ecological fallacy |
economic base multiplier |
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empirical |
employment impact estimation |
establishment vs. household |
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establishment vs. industry |
experimental method |
explanatory variable |
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exploratory research |
extrapolation |
F-score |
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factor |
factor analysis |
falsification |
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forecasting |
generalization (statistical vs. analytical) |
gravity models |
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Heisenberg Principle |
homoscedasticity vs. heteroscedasticity |
hypothesis (null hypothesis and research hypothesis) |
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hypothesis testing |
indicator |
inductive vs. deductive |
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industry vs. occupation |
inferential statistics |
input-output analysis |
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intermediate vs. final demand |
interpolation |
level of measurement (nominal, ordinal, interval variables) |
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life tables |
"linear" and non-linear relationships |
linear vs. exponential model |
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location quotients |
logistic curve |
logistic model |
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logs and exponents |
longitudinal vs. cross-sectional data |
matrix |
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mean, median, mode |
measurement error |
measures of association |
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method vs. methodology |
migration (direct and indirect measures) |
multicollinearity |
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multiplier |
multivariate |
mutually exclusive and exhaustive categories |
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necessary vs. sufficient |
net present value (NPV) |
normal curve |
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normative (vs. positive) statements |
null hypothesis |
outlier |
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panel data |
paradigm |
parameter |
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parametric vs. non-parametric |
partial correlation |
path analysis |
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population |
prediction |
primary vs. secondary data |
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probability |
program evaluation |
qualitative research |
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quasi-experimental |
questionnaire design (open- vs. closed-ended) |
R-square |
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random sampling |
random vs. systematic error |
regression analysis (bivariate and multiple) |
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regression coefficients |
reliability |
replication |
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risk assessment (risk vs. uncertainty) |
sample size |
sampling |
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sampling distribution |
sampling frame vs. sample |
scatterplot/scattergram |
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scientific method |
shift-share analysis |
SIC codes |
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simple random sampling |
simulation modeling |
spurious vs. intervening relationships |
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standard deviation |
standard error |
standard score |
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statistical significance |
strength of the relationship |
structure vs. agency |
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symmetrical vs. asymmetrical relationship between variables |
systematic random sampling |
t vs. z distribution |
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t-score |
test of significance |
trend analysis |
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U.S. Census geography |
unit of analysis |
univariate |
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validity |
variable |
variance |
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variation |
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