Forced Choice Measures with an Answer Key: A Predictive Modelling Approach for Detecting Faking Behavior

Forced choice (FC) personality measures are increasingly popular in research and applied contexts. To date however, no method for detecting faking behavior on this format has been both proposed and empirically tested. We introduce a new methodology for faking detection on FC measures, based on the assumption that individuals engaging in faking try to approximate the ideal response on each block of items. Individuals’ responses are scored relative to the ideal using a model for rank-order data not previously applied to FC measures (Generalized Mallows Model). Scores are then used as predictors of faking in a regularized logistic regression. In Study 1, we test our approach using cross-validation, and contrast generic and job-specific ideal responses. Study 2 replicates our methodology on two measures matched and mismatched on item desirability. We achieved between 80 – 92% balanced accuracy in detecting instructed faking, and predicted probabilities of faking correlated with self-reported faking behavior. We discuss how this approach, driven by trying to capture the faking process, differs methodologically and theoretically to existing faking detection paradigms, and measure and context-specific factors impacting accuracy.

Motivating Factors of Investors to Involve in Supply Chain Management Practices: A Study on Ready Made Garment Industry in Bangladesh

The export-oriented clothing industry in Bangladesh, commonly known as ready made garment (RMG) occupies an inimitable position in the economy of Bangladesh. The aim of this study is to examine the intent of investors/manufacturers of Bangladeshi RMG to engage in supply chain management practices. Bangladeshi garment industry is the leading export earner as well as main sources of GDP (Gross Domestic Product) for Bangladesh over the decade. Development of the garment industry in Bangladesh was driven by the structural economic reforms of the 1980s, which opened the Bangladeshi economy towards foreign investment, deregulation of markets and privatization. Nowadays Bangladesh is well known across the globe for its vigorous success in the arena of readymade garment industry. On time deliverance, short lead time and desired quality product determines the criteria to gain the orders from international buyers. Thus, involve in supply chain management practices (SCMP) treated as compulsory requirement for these industries. To discover the absolute motive of RMG Investors/Manufacturers, the descriptive study was associated on 10 companies that are presently practiced SCM activities in Bangladesh. Standard questionnaires were utilized to accumulate the data. Research result showed 14 variables of Investor/Manufacturer motives are comprised in SCMP. Each variable was interconnected in nature. Four fundamental motivational factors stand as operational, economical, environmental & ethical, and social & behavioral. Shield motives of Investors/ Manufacturers can easily have recognized by these factors. This will assist the respective authority to control the RMG companies and acknowledged the forthcoming action steps to advance the supply chain management (SCM)system of this industry at Bangladesh. Rank order data interpretation represented that environmental motive and ethical motive are strong portent of Investor/Manufacturer motives to incorporate in Supply Chain Management practices.