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Causal Inference and the Language of Experimentation
Construct Validity of Putative Causes and Effects
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ACF and PACF ANCOVA ARIMA model assumptions attrition autocorrelations of lags average bias biased blocking Box-Jenkins breathalyser Campbell causal inference causal relationship cause chapter cohort component construct validity correlation covariate cross-correlation cross-lagged cutting point dependent variable differenced differential discussion example expected experimental group Figure hypothesis implemented increase individuals interaction internal validity intervention irrelevant IXXX manipulation matching mean measurement error ment methods multiple Negative Income Tax nonequivalent group design observations outcome parameters Partial autocorrelations particular pattern persons plausible population possible posttest scores predicted pretest and posttest pretest scores pretest-posttest problem procedure quasi-experiments random assignment randomized experiment regression lines regression-discontinuity design reliability respondents sample seasonal seasonal lags selection differences Sesame Street settings specified statistical conclusion validity theory threats to internal tion transfer function treatment effect estimate treatment group trend variance white noise XXXI XXXXI