Understanding the drivers of sensitive behavior using Poisson regression from quantitative randomized response technique data

Assessing Sensitive Attributes Using the Randomized Response Technique: Evidence for the Importance of Response Symmetry

Randomized response techniques (RRTs) aim to reduce social desirability bias in the assessment of sensitive attributes but differ regarding privacy protection. The less protection a design offers, the more likely respondents cheat by disobeying the instructions. In asymmetric RRT designs, respondents can play safe by giving a response that is never associated with the sensitive attribute. Symme...

Logistic Regression Analysis of Non-randomized Response Data Collected via the Parallel Model in Sensitive Surveys

this study investigated the relationship between quality of work life and organization citizenship behavior from the viewpoint of teachers in high schools in tehran city.

چکیده هدف از پژوهش حاضر بررسی رابطه کیفیت زندگی کاری و رفتار شهروندی سازمانی در مدارس مقطع متوسطه پسرانه شهر تهران از دیدگاه دبیران بود. روش پژوهش حاضر توصیفی و از نوع همبستگی بود. از بین دبیران مدارس شهر تهران تعداد 380 نفر به روش نمونه گیری خوشه ای چند مرحله ای به عنوان نمونه پژوهش انتخاب شدند و با تکمیل پرسشنامه ی کیفیت زندگی کاری والتون(1975) و پرسشنامه ی رفتار شهروندی سازمانی پودساکو...

Analysis of Mortality Data using Smoothing Spline Poisson Regression

We study a smoothing spline Poisson regression model for the analysis of mortality data. Being a non-parametric approach it is intrinsically robust, that it is a penalized likelihood estimation method makes available an approximate Bayesian confidence interval and importantly the software gss, its implementation on the freely available statistical package R, makes it easily accessible to the us...

assessment of the efficiency of s.p.g.c refineries using network dea

data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...