Class 8 Measurement 2020 Sp1
Quiz 2 details:
Time frame: Starts at noon today, ends midnight Wednesday.
Content: Covers material after the last class through today.
Topics: Sampling, reliability, validity.
Bias:
Not on the quiz.
Bias notes before the next class.
Extra credit on the final.
Journal article critique:
Dropbox opens today, closes May 1.
Avoid specific article types.
Grades:
CITI assignment grades included.
5% participation grade given to all.
47% of final grade earned so far.
Measurement:
Definition: Assignment of values to outcomes.
Examples: Numbers, categories like social class, gender.
Levels of Measurement:
Nominal, Ordinal, Interval, Ratio.
Characteristics and examples of each level.
Statistics Overview:
Descriptive vs. Inferential statistics.
Purpose of each type.
Other considerations like power calculations.
Descriptive Statistics:
Components: Distribution, Variance, Central tendency.
Measures: Mean, Median, Mode, Range, Standard deviation.
Confidence Intervals:
Definition and purpose.
Components: Confidence level, limits.
Example: 95% CI 0.59–1.12.
Types of Error:
Type I and Type II errors.
Definitions, implications, and probabilities.
Power:
Definition and importance.
Relationship with Type II error.
Methods to increase power.
T Tests:
Comparison of means between two groups.
Significance level and interpretation of p-values.
ANOVAs:
Analysis of variance for comparing means of multiple groups.
Advantages over multiple t-tests.
Variations based on data characteristics.
Correlations:
Definition and purpose.
Correlation coefficient, interpretation, and strength.
Causation disclaimer.
Regressions:
Modeling relationships between variables.
R2 value interpretation.
Relative Risk:
Comparison of disease risk between groups.
Interpretation of relative risk values.
Definition of Relative Risk (RR)
RR is a multiplier of baseline risk.
Scope of Risk Factors
Exclusively
Quiz 2 details:
Time frame: Starts at noon today, ends midnight Wednesday.
Content: Covers material after the last class through today.
Topics: Sampling, reliability, validity.
Bias:
Not on the quiz.
Bias notes before the next class.
Extra credit on the final.
Journal article critique:
Dropbox opens today, closes May 1.
Avoid specific article types.
Grades:
CITI assignment grades included.
5% participation grade given to all.
47% of final grade earned so far.
Measurement:
Definition: Assignment of values to outcomes.
Examples: Numbers, categories like social class, gender.
Levels of Measurement:
Nominal, Ordinal, Interval, Ratio.
Characteristics and examples of each level.
Statistics Overview:
Descriptive vs. Inferential statistics.
Purpose of each type.
Other considerations like power calculations.
Descriptive Statistics:
Components: Distribution, Variance, Central tendency.
Measures: Mean, Median, Mode, Range, Standard deviation.
Confidence Intervals:
Definition and purpose.
Components: Confidence level, limits.
Example: 95% CI 0.59–1.12.
Types of Error:
Type I and Type II errors.
Definitions, implications, and probabilities.
Power:
Definition and importance.
Relationship with Type II error.
Methods to increase power.
T Tests:
Comparison of means between two groups.
Significance level and interpretation of p-values.
ANOVAs:
Analysis of variance for comparing means of multiple groups.
Advantages over multiple t-tests.
Variations based on data characteristics.
Correlations:
Definition and purpose.
Correlation coefficient, interpretation, and strength.
Causation disclaimer.
Regressions:
Modeling relationships between variables.
R2 value interpretation.
Relative Risk:
Comparison of disease risk between groups.
Interpretation of relative risk values.
Definition of Relative Risk (RR)
RR is a multiplier of baseline risk.
Scope of Risk Factors
Exclusively
