The interlocking world of surveys and experiments |
230:Y |
QCAS / 65 / 5-6 / 349 |

Polling bias and undecided voter allocations: US presidential elections, 2004-2016 |
230:Z |
QCAS / 65 / 5-6 / 351 |

Disentangling bias and variance in election polls |
230:Y |
QCAS / 65 / 3-4 / 183 |

The effect of probing “don’t know” responses on measurement quality and nonresponse in surveys |
230:Y |
QCAS / 64 / 5-6 / 391 |

Interval estimation of latent variable scores in item response theory |
230:Y |
QCAS / 64 / 5-6 / 393 |

Modelling illegal drug participation |
230:B |
QCAS / 64 / 3-4 / 193 |

Forecasting daily political opinion polls using the fractionally cointegrated vector auto-regressive model |
230:Z |
QCAS / 64 / 3-4 / 195 |

Low resource gage screening |
230:M |
QCAS / 63 / 5-6 / 405 |

Does more balanced survey response imply less non-response bias? |
230:Y |
QCAS / 63 / 5-6 / 409 |

Quality assurance in the Portuguese census:
The contribution of the balanced scorecard |
230:Y |
QCAS / 63 / 5-6 / 413 |

Same old story: On non-use and resistance to the telephone and social media |
230:Y |
QCAS / 63 / 1-2 / 25 |

Respondent-driven sampling bias induced by community structure and response rates in social networks |
230:Y |
QCAS / 63 / 1-2 / 27 |

Estimating population size using the network scale up method |
230:Y |
QCAS / 62 / 1-2 / 25 |

Prioritization of alternatives with analytical hierarchy process
plus response latency and web surveys |
230:Y |
QCAS / 61 / 4 / 315 |

Aggregation bias in sponsored search data: The curse and the cure |
230:Y |
QCAS / 61 / 1-2 / 27 |

On species sampling sequences induced by residual allocation models |
230:Y |
QCAS / 61 / 1-2 / 31 |

Converting survey results from four-point to five-point scale: A case study |
230:Y |
QCAS / 61 / 1-2 / 35 |

Investigating non-ignorable dropout in panel studies of residential mobility |
230:Y |
QCAS / 59 / 4 / 315 |

Randomized response group testing model |
230:Y |
QCAS / 59 / 1-2 / 57 |

Automatic dwelling segmentation of the Buenos Aires Province for the 2010 Argentinian Census |
230:Y |
QCAS / 59 / 1-2 / 59 |

Do non-response follow-ups improve or reduce data quality?
A review of the existing literature |
230:Y |
QCAS / 59 / 1-2 / 61 |

Optimal allocation of sampling effort in depletion surveys |
230:Y |
QCAS / 59 / 1-2 / 63 |

Reconstructing past populations with uncertainty from fragmentary data |
230:Z |
QCAS / 59 / 1-2 / 65 |

Some theory for propensity-score-adjustment estimators
in survey sampling |
230:Y |
QCAS / 58 / 5-6 / 479 |

An extension of the Wilcoxon rank sum test for complex sample survey data |
230:Y |
QCAS / 58 / 5-6 / 481 |

Data collection: Experiences and lessons learned by asking sensitive questions in remote coca growing region in Peru |
230:Y |
QCAS / 58 / 5-6 / 483 |

A three-stage optional randomized model |
230:Y |
QCAS / 58 / 5-6 / 485 |

Management challenges of the 2010 US Census |
230:Y |
QCAS / 58 / 5-6 / 487 |

Collecting survey data during armed conflict |
230:Y |
QCAS / 58 / 5-6 / 489 |

Some optimality issues in estimating two-stage optional randomized response models |
230:Y |
QCAS / 58 / 5-6 / 491 |

Calibrated Bayes, an alternative inferential paradigm for official statistics |
230:Y |
QCAS / 58 / 5-6 / 493 |

How many were there when it mattered? Estimating the sizes
of crowds |
230:Y |
QCAS / 58 / 1-2 / 57 |

A closer look at D-optimality for screening designs |
230:Y |
QCAS / 57 / 4 / 321 |

A framework for cut-off sampling in business survey design |
230:Y |
QCAS / 57 / 4 / 325 |

Calibration estimation using exponential tilting in sample surveys |
230:Y |
QCAS / 57 / 3 / 203 |

Design for estimation: Identifying auxiliary vectors to reduce non-response bias |
230:Y |
QCAS / 57 / 3 / 205 |

Correcting for survey non responses using variable response propensity |
230:Y |
QCAS / 57 / 1-2 / 49 |

Experimental studies of disclosure risk, disclosure harm, topic sensitivity and survey participation |
230:Y |
QCAS / 56 / 1-2 / 55 |

Bayesian analysis for outliers in survey sampling |
230:Y |
QCAS / 56 / 1-2 / 57 |

Kernel regression estimators for non parametric model calibration in survey sampling |
230:Y |
QCAS / 56 / 1-2 / 59 |

Adjusting for nonignorable sample attrition using survey substitutes identified by propensity score matching: An empirical investigation using labour market data |
230:Y |
QCAS / 56 / 1-2 / 61 |

Estimating the prevalence of sensitive behavior and cheating with a dual design for direct questioning and randomized response |
230:Y |
QCAS / 56 / 1-2 / 63 |

Combining information from multiple surveys by using regression for efficient small domain estimation |
230:Y |
QCAS / 55 / 5-6 / 439 |

How reliable are income data collected with a single question? |
230:Y |
QCAS / 55 / 4 / 319 |

Design of web questionnaires: The effect of layout in rating scales |
230:Y |
QCAS / 55 / 3 / 197 |

Survey weighted hat matrix and leverages |
230:Y |
QCAS / 55 / 1-2 / 39 |

Handling survey nonresponse in cluster sampling |
230:Y |
QCAS / 53 / 4-5 / 381 |

Struggles with survey weighting and regression modeling |
230:Y |
QCAS / 53 / 4-5 / 385 |

Constructing optimal randomized response designs with consideration for the level of privacy protection |
230:Y |
QCAS / 53 / 4-5 / 391 |

Merely incidental? Effects of response format on self-reported behavior |
230:Y |
QCAS / 52 / 6 / 611 |

Variance estimability and efficiency of a modified systematic sampling |
230:Y |
QCAS / 52 / 6 / 613 |

Dropouts on the web: Effects of interest and burden experienced during an online survey |
230:Y |
QCAS / 52 / 6 / 617 |

Variance estimation by jackknife method under two-phase complex survey design |
230:Y |
QCAS / 52 / 5 / 493 |

Survey estimation under informative nonresponse with follow-up |
230:Y |
QCAS / 52 / 5 / 495 |

A class of almost unbiased estimators in systematic sampling |
230:Y |
QCAS / 52 / 5 / 497 |

Dual frame web-telephone sampling for rare groups |
230:Y |
QCAS / 52 / 5 / 499 |

On the planning and design of sample surveys |
230:Y |
QCAS / 52 / 4 / 385 |

Separating interviewer and sampling-point effects |
230:Y |
QCAS / 52 / 3 / 285 |

Repetitive group sampling procedure for variables inspection |
230:Y |
QCAS / 52 / 2 / 175 |

On the bias of the multiple-imputation variance estimator in survey sampling |
230:Y |
QCAS / 52 / 2 / 181 |

Does weighting for nonresponse increase the variance of survey means? |
230:Y |
QCAS / 51 / 6 / 623 |

Hot deck imputation for the response model |
230:Y |
QCAS / 51 / 6 / 627 |

A control scheme for high-yield correlated production under group inspection |
230:Y |
QCAS / 51 / 4 / 393 |

Serial inspection plan in the presence of inspection errors: Maximum likelihood and maximum entropy approaches |
230:Y |
QCAS / 51 / 2 / 161 |

Maintaining race and ethnicity trend lines in U. S. government surveys |
230:Y |
QCAS / 50 / 6 / 635 |

An action-research based instrument for monitoring continuous quality improvement |
230:Y |
QCAS / 50 / 5 / 507 |

Application of quality control in ICR data capture: 2001 Canadian census of agriculture |
230:Y |
QCAS / 50 / 5 / 509 |

A survey technique for estimating the proportion and sensitivity in a dichotomous finite population |
230:Y |
QCAS / 50 / 1 / 31 |

A simultaneous analysis of interviewer effects on various data quality indicators with identification of exceptional interviewers |
230:Y |
QCAS / 49 / 6 / 619 |

New paradigms (models) for probability sampling |
230:Y |
QCAS / 48 / 6 / 629 |

Are nonrespondents to health surveys less healthy than respondents? |
230:B |
QCAS / 48 / 3 / 261 |

Best linear invariant estimators using ranked set sampling procedure: Comparative study |
230:Y |
QCAS / 48 / 2 / 131 |

A review of empirical research on total quality management using scale developing methods: An Australian perspective |
230:Y |
QCAS / 48 / 1 / 45 |

Understanding the cognitive processes of open-ended categorical questions and their effects on data quality |
230:Y |
QCAS / 48 / 1 / 47 |

Are they really as bad as they seem? Nonresponse rates at the end of the twentieth century |
230:Y |
QCAS / 47 / 4 / 385 |

Nonresponse in US government household surveys: Consistent measures, recent trends and new insights |
230:Y |
QCAS / 47 / 3 / 265 |

Minimax strategies in survey sampling |
230:Y |
QCAS / 46 / 4 / 399 |

Subsampling callbacks to improve survey efficiency |
230:Y |
QCAS / 46 / 3 / 265 |

A new look at confidence intervals in survey sampling |
230:Y |
QCAS / 46 / 2 / 145 |

Cumulating/combining population surveys |
230:Y |
QCAS / 46 / 1 / 35 |