On the practice of dichotomization of quantitative variables.
RC MacCallum, S Zhang, KJ Preacher… - Psychological …, 2002 - psycnet.apa.org
… The value ρXDYD is a phi coefficient, a correlation between two dichotomous variables, and
the value ρXY is the corresponding tetrachoric correlation, the correlation between normally …
the value ρXY is the corresponding tetrachoric correlation, the correlation between normally …
Statistical efficiency of double‐bounded dichotomous choice contingent valuation
M Hanemann, J Loomis… - American journal of …, 1991 - Wiley Online Library
… dichotomous choice question is asked, and the dollar amount is treated as a threshold. If the
good is valued … Our aim here is to show how the statistical efficiency of dichotomous choice …
good is valued … Our aim here is to show how the statistical efficiency of dichotomous choice …
USING ANALYSIS OF VARIANCE WITH A DICHOTOMOUS DEPENDENT VARIABLE: AN EMPIRICAL STUDY1
GH Lunney - Journal of educational measurement, 1970 - Wiley Online Library
… propriate when the dependent variable has a dichotomous (zero-… technique for analyzing
dichotomous data in fixed effects … value, the sampling distribution of the dichotomous variable …
dichotomous data in fixed effects … value, the sampling distribution of the dichotomous variable …
Variance components structures for the extreme-value and logistic distributions with application to models of heterogeneity
NS Cardell - Econometric Theory, 1997 - cambridge.org
… a marginal extreme-value (logistic) distribution. … -value error structures extends to the
introduction of heterogeneity in duration, selection bias, limited-dependent- and qualitative-variable …
introduction of heterogeneity in duration, selection bias, limited-dependent- and qualitative-variable …
Application of the Karhunen-Loeve expansion to feature selection and ordering
K Fukunaga, WLG Koontz - IEEE Transactions on computers, 1970 - ieeexplore.ieee.org
… evaluation of eigenvectors for classification purposes becomes the evaluation of variables
… Now our aim is to choose the best dichotomy according to some criterion. Given the criterion, …
… Now our aim is to choose the best dichotomy according to some criterion. Given the criterion, …
Correlation and process in species distribution models: bridging a dichotomy
… Within the field of species distribution modelling an apparent dichotomy exists between
process-based and correlative approaches, where the processes are explicit in the former and …
process-based and correlative approaches, where the processes are explicit in the former and …
Contingent valuation in practice
KJ Boyle - A primer on nonmarket valuation, 2017 - Springer
… of value, which is the theoretical concept typically measured in contingent-valuations studies.
… Payment-card questions and dichotomous-choice questions require an additional design …
… Payment-card questions and dichotomous-choice questions require an additional design …
An estimator for some binary-outcome selection models without exclusion restrictions
AE Sartori - Political Analysis, 2003 - cambridge.org
… variables influence selection and the later equation of interest.Although my proposed estimator
is for use with dichotomous dependent variables, … a dichotomous variable Zi with a value …
is for use with dichotomous dependent variables, … a dichotomous variable Zi with a value …
Fitting a response model forn dichotomously scored items
R Darrell Bock, M Lieberman - Psychometrika, 1970 - Springer
… The figures show that the conventional KR2o grossly underestimates the theoretical value.
For the same reason that the phi-coefficient for dichotomously scored variables under…
For the same reason that the phi-coefficient for dichotomously scored variables under…
Latent variable structural equation modeling with categorical data
B Muthen - Journal of Econometrics, 1983 - Elsevier
… review with econometric applications covering dichotomous, ordered and unordered … on
the marginal distribution for each variable, and underestimate the value of the latent correlations …
the marginal distribution for each variable, and underestimate the value of the latent correlations …