Modelling the Impact of Personality on Individual Performance Behavior with a Time-Varying Mixture of Monotonic Random Effects

34 Pages Posted: 26 Nov 2011

See all articles by Sally Ann Wood

Sally Ann Wood

Melbourne Business School

Edward Jerrold Cripps

UNSW Australia Business School, School of Economics

Robert E. Wood

Australian School of Business

John Lau

affiliation not provided to SSRN

Date Written: November 24, 2011

Abstract

A method is presented for flexibly modelling longitudinal data that provides insight to a central question in psychology theory: the dependency between personality clas- sification and individual performance behavior. Flexibility is achieved by assuming the regression coefficients of random effects models are generated from a time-varying mixture of an unknown but finite number of processes, where the weights attached to the number of processes are parameterised to depend upon an individual’s personality classification. For a given number of mixture components the component processes are constrained distributions and the weights attached to them depend upon time. The method is made robust to outliers and we demonstrate this is an important addition when making inference at the individual level. The frequentist properties of the ap- proach are examined via simulation. The results support the hypothesis in psychology that individuals who believe abilities are inherited traits are much more likely to exhibit sustained periods of failing performance than other individuals.

Suggested Citation

Wood, Sally Ann and Cripps, Edward Jerrold and Wood, Robert E. and Lau, John, Modelling the Impact of Personality on Individual Performance Behavior with a Time-Varying Mixture of Monotonic Random Effects (November 24, 2011). Available at SSRN: https://ssrn.com/abstract=1964428 or http://dx.doi.org/10.2139/ssrn.1964428

Sally Ann Wood (Contact Author)

Melbourne Business School ( email )

200 Leicester Street
Carlton, Victoria 3053 3186
Australia

Edward Jerrold Cripps

UNSW Australia Business School, School of Economics ( email )

High Street
Sydney, NSW 2052
Australia

Robert E. Wood

Australian School of Business ( email )

UNSW Business School
High St
Sydney, NSW 2052
Australia

John Lau

affiliation not provided to SSRN

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