TY - JOUR
AU1 - Short, Jeremy C.
AU2 - Broberg, J. Christian
AU3 - Cogliser, Claudia C.
AU4 - Brigham, Keith H.
AB - Construct validity continues to pose challenges in the organizational sciences. To capture difficult-to-measure constructs of interest, researchers have often relied on content analysis. One content analysis technique, computer-aided text analysis (CATA), is particularly attractive because of the ability to process large samples with high speeds and reliabilities. Unfortunately, inconsistent guidance exists to guide researchers through the use of this tool in a manner compatible with accepted methods used to validate constructs in a rigorous manner. The authors review research using content analysis to examine the extent to which such studies integrate methods for assessing content, external, discriminant, and predictive validity. To provide direction for organizational researchers interested in using CATA to measure theoretically based constructs relevant to the management field, they suggest a number of possible procedures to enhance construct validity. They illustrate these procedures using the construct of entrepreneurial orientation.
TI - Construct Validation Using Computer-Aided Text Analysis (CATA)
JF - Organizational Research Methods
DO - 10.1177/1094428109335949
DA - 2010-04-01
UR - https://www.deepdyve.com/lp/sage/construct-validation-using-computer-aided-text-analysis-cata-Nn4s84oFQZ
SP - 320
EP - 347
VL - 13
IS - 2
DP - DeepDyve
ER -