We address a series of potential concerns that may arise when applying the survey method. These include (1) the use of non-random sampling techniques (particularly convenience sampling) and the associated issue of generalizability, (2) the reliance on human informants and biased perceptions in construct measurement, (3) the dependence on single-source data and the problem of common method bias, and (4) the problem of correlated omitted variables. We discuss how (and when) these concerns can affect statistical inferences. Although we conclude that these concerns are easily overstated, we suggest that researchers demonstrate that they either do not apply in their particular research setting, or discuss how they are mitigated
The three parts of this book on survey methodology combine an introduction to basic sampling theory,...
AbstractThis paper summarizes the discussions held during an in-depth six-hour workshop on the chall...
The analysis of representativeness of a data set belongs to the standard quality assurance procedure...
The various stages of a survey sampling, questionnaire design, and data collection all present pote...
Surveys represent flexible and powerful ways for practitioners to gain insights into customers and m...
Statistical adequacy can be judged according to two different sets of criteria: those proposed by ma...
Most of the social science research and studies depend on surveys and the quality of survey data col...
Fields that study psychological and social phenomena rely heavily on survey methods for data collect...
The use of surveys as a data collection method gained its popularity in recent years. However, one ...
Social statistical studies have demonstrated that different sampling techniques can cause diverse bi...
There is an ongoing debate in the survey research literature about whether and when probability and ...
The article concerns the question of inaccessible units set in the perspective of the theory of stat...
There is an ongoing debate in the survey research literature about whether and when probability and ...
The central theme of this thesis is that knowledge is needed about all forms of error in the social ...
Abstract A common hypothesis about practices to reduce survey nonresponse is that those persons brou...
The three parts of this book on survey methodology combine an introduction to basic sampling theory,...
AbstractThis paper summarizes the discussions held during an in-depth six-hour workshop on the chall...
The analysis of representativeness of a data set belongs to the standard quality assurance procedure...
The various stages of a survey sampling, questionnaire design, and data collection all present pote...
Surveys represent flexible and powerful ways for practitioners to gain insights into customers and m...
Statistical adequacy can be judged according to two different sets of criteria: those proposed by ma...
Most of the social science research and studies depend on surveys and the quality of survey data col...
Fields that study psychological and social phenomena rely heavily on survey methods for data collect...
The use of surveys as a data collection method gained its popularity in recent years. However, one ...
Social statistical studies have demonstrated that different sampling techniques can cause diverse bi...
There is an ongoing debate in the survey research literature about whether and when probability and ...
The article concerns the question of inaccessible units set in the perspective of the theory of stat...
There is an ongoing debate in the survey research literature about whether and when probability and ...
The central theme of this thesis is that knowledge is needed about all forms of error in the social ...
Abstract A common hypothesis about practices to reduce survey nonresponse is that those persons brou...
The three parts of this book on survey methodology combine an introduction to basic sampling theory,...
AbstractThis paper summarizes the discussions held during an in-depth six-hour workshop on the chall...
The analysis of representativeness of a data set belongs to the standard quality assurance procedure...