Statistics 1

Statistics 1

Week 1
1. measurement
  1. Concept-->conceptual definition-->operational definition-->variable
2. True value
  1. Systematic error
    1. random error
      1. reliability
    2. vailidity
3. levels of measurement
  1. nominal, ordinal, interval
Week 2
1. research design
  1. hypotheses
    1. specificity & direction of effect
    2. falsifiable
    3. empirically testable
  2. in/dependent variable
  3. causal explanations
    1. time order
    2. non-spuriousness
    3. theoretical consistency
    4. covariation
  4. model/theory/assumptions
  5. research design
    1. effects
    2. true experiment
    3. quasi experiment
  6. internal/external validity
    1. selection and out of sample extrapolation
  7. explanatory/confirmatory design
    1. omitted variables
    2. regression to the mean
    3. non random sample selection
Week 3
1. distributions
  1. simple frequency distribution
    1. measures of central tendency
      1. mode, median, mean
        caveat about the mean
        mean: dispersion and central tendency
        dispersion: range, interquartile range, variance, standard deviation
2. descriptive stats
3. levels of measurement
4. measures of dispersion
5. skew
  1. log & power transformations to transform skew! e.g. transform interval into ordinal
6. recodes and transformations
Week 4
1. standard deviation/variance
2. z scores
3. probability, sampling & inference
  1. samples and populations
4. the basic law of probability
  1. joint/union/conditional probability
  2. probability distribution
  3. priori/posterior probability
  4. the general rule of multiplication
  5. the general rule of addition
5. random sampling: selection and response bias
  1. random error
Week 6
Week 5
1. inference with sample statistics
2. confidence intervals
3. t scores
4. standard error
5. polling

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	Erstellt von amy.mchugh vor etwa 9 Jahre