Measuring Online Communication Attitude: Instrument Development and Validation
By Andrew M. Ledbetter. 2009
133 citations recorded by the source corpus.
Subfields: Communication, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/71c56f9d2d5ce42cf1dfd6c019f58dc2ff96b4d0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Joseph P. Mazer
- Abdullah J. Sultan
- Bree McEwan
- Jesse Fox
- Jocelyn M. DeGroot
- Kevin R. Meyer
- Yuping Mao
- Brian Swafford
In Sociology and Political Science
- Joseph P. Mazer
- Abdullah J. Sultan
- Bree McEwan
- Jesse Fox
- Jocelyn M. DeGroot
- Kevin R. Meyer
- Yuping Mao
- Brian Swafford
Citations in the corpus
- UvA-DARE (Digital Academic Repository) Privacy concerns in chatbot interactions (unknown): “Level of comfort with information disclosure was measured with four items adapted from Croes and Antheunis [11, 28], e.g. “ I felt comfortable disclosing personal information during the interaction ” (1 = strongly disagree, 7 = strongly agree).”
- Addiction to mobile text messaging applications is nothing to “lol” about (2014, methodology): “Furthermore, the measure of consumer attiudes toward BBM and WhatsApp ( ̨ = .82) is assessed using 5 items adapted from the online communication attitude (MOCA) measure developed by Ledbetter (2009).”
- Development and Validation of the Student Interest and Engagement Scales (2012, methodology): “Following similar analytic techniques popular in communication research ( Ledbetter, 2009 ; Thompson & Mazer, 2009 ), Owen's (1984) criteria to obtain cohesive patterns occurring in a set of discourse was utilized.”
- Attitudes Toward Online Social Connection and Self-Disclosure as Predictors of Facebook Communication and Relational Closeness (2011, methodology): “Separately, Ledbetter (2009b) identifies self-disclosure and social connection as fundamental motivations that foster online interpersonal communication more generally.”
- Distinguishing technologies for social interaction: The perceived social affordances of communication channels scale (2017, methodology): “…with the ease of use subscale of the MOCA, given both scales concern the availability and convenience of channels ( α = .69, M = 5.24, SD = 1.24; Ledbetter, 2009); bandwidth with the clarity factor of Spitz-berg ’ s (2006) CMC competence scale ( α = .78, M = 5.11, SD = 1.04), given that the…”