It is important to examine the equivalence of paper and online data collection methods across several domains. The current study compared paper versus online modalities from a data quality standpoint, with a specific focus on inattentive (i.e., careless) responding by using an easily-implemented method to capture participants’ careless responses: interspersing instructed response items (e.g., “Please select option 3, ‘Strongly disagree,’”) throughout a collection of 15 established measures. A between-subjects design compared the percentage of instructed response items missed (hence, inattentive responses) across three conditions: 1) lab paper, 2) lab online, and 3) non-lab online. The non-lab online condition was predicted to have the most ...
The goal of this study was to identify the best indices for detecting inattentive respondents. This ...
Recently, experimental studies of vigilance have been deployed using online data collection methods....
Inattentive respondents introduce noise into data sets, weakening correlations between items and inc...
Participant attentiveness may represent a major concern for all researchers using online self-report...
Participant attentiveness may represent a major concern for all researchers using online self-report...
The popularity of online research is increasing but the validity of the results obtained is not yet ...
The current study examined the differences in data quality across two environments (i.e., in a labor...
In this paper, we examine rates of careless responding and reactions towards detection methods (i.e....
This paper reports on the relevance of attention checks for online panels, e.g., M-Turk, SurveyMonke...
In this paper, we examine rates of careless responding and reactions towards detection methods (i.e....
Lucid, a popular source of online convenience survey samples, has seen a significant increase in ina...
Researchers have been collecting data online since the early days of the Internet and as technology ...
Due to pandemic-imposed restrictions on lab-based research, we have recently witnessed a flourishing...
High data quality is an important prerequisite for sound empirical research. Meade and Craig (2012) ...
Stated preference practitioners are increasingly relying on internet panels to gather data, but emer...
The goal of this study was to identify the best indices for detecting inattentive respondents. This ...
Recently, experimental studies of vigilance have been deployed using online data collection methods....
Inattentive respondents introduce noise into data sets, weakening correlations between items and inc...
Participant attentiveness may represent a major concern for all researchers using online self-report...
Participant attentiveness may represent a major concern for all researchers using online self-report...
The popularity of online research is increasing but the validity of the results obtained is not yet ...
The current study examined the differences in data quality across two environments (i.e., in a labor...
In this paper, we examine rates of careless responding and reactions towards detection methods (i.e....
This paper reports on the relevance of attention checks for online panels, e.g., M-Turk, SurveyMonke...
In this paper, we examine rates of careless responding and reactions towards detection methods (i.e....
Lucid, a popular source of online convenience survey samples, has seen a significant increase in ina...
Researchers have been collecting data online since the early days of the Internet and as technology ...
Due to pandemic-imposed restrictions on lab-based research, we have recently witnessed a flourishing...
High data quality is an important prerequisite for sound empirical research. Meade and Craig (2012) ...
Stated preference practitioners are increasingly relying on internet panels to gather data, but emer...
The goal of this study was to identify the best indices for detecting inattentive respondents. This ...
Recently, experimental studies of vigilance have been deployed using online data collection methods....
Inattentive respondents introduce noise into data sets, weakening correlations between items and inc...