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How Do Shocks to Non-Cognitive Skills Affect Test Scores? Author info | Abstract | Publisher info | Download info | Related research | Statistics Stefanie Behncke ()
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This paper investigates the extent to which test performance is affected by shocks to noncognitive skills. 440 students took a low stakes mathematics test. About half of them were exposed to positive affirmation while being given test instructions, whereas the other half served as controls. The students were allocated to 14 tutorials and randomisation was conducted at the tutorial level. Mean comparisons suggest that test scores were raised by the intervention. In particular, students with low maths grades and with self-assessed difficulties in maths gained from the positive affirmation. Results suggest that teachers might increase their students' performance by interventions to their non-cognitive skills. Inference is obtained by four different methods that take into account that randomisation was clustered at the tutorial group level. These methods are evaluated in a Monte Carlo study for data generating processes which resemble actual data. We find that randomisation inference followed by the wild cluster bootstrap have superior size properties compared to conventional approaches.
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Paper provided by Department of Economics, University of St. Gallen in its series University of St. Gallen Department of Economics working paper series 2009 with number
2009-11.
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Length: 31 pages
Date of creation: Jun 2009Date of revision:
Handle: RePEc:usg:dp2009:2009-11Contact details of provider: Postal: Dufourstrasse 50, CH - 9000 St.Gallen Email: Web page: http://www.vwa.unisg.ch/ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (Martina Flockerzi).
Keywords: test scores ; non-cognitive skills ; cluster randomised trial ; wild cluster bootstrap ; randomisation inference ; Other versions of this item:
Find related papers by JEL classification: C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments I20 - Health, Education, and Welfare - - Education - - - General
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Borghans Lex & Lee Duckworth Angela & Heckman James J. & Weel Bas ter, 2008.
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Research Memoranda
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