Authors :
Caroline Ochuko ALORDIAH; Juliet N. OSSAI
Volume/Issue :
Volume 8 - 2023, Issue 10 - October
Google Scholar :
https://tinyurl.com/28zttswr
Scribd :
https://tinyurl.com/93yf4zr7
DOI :
https://doi.org/10.5281/zenodo.10040292
Abstract :
This theoretical paper explores the role of
theoretical perspectives in questionnaire design, aiming to
improve data quality and research outcomes in social
studies research. It examines the significance of
questionnaire design in understanding human behaviour
and decision-making, and its potential contributions to
research practices. The paper examines classical theories
like cognitive dissonance and contemporary models like
implicit attitudes, focusing on understanding belief systems
and their cognitive, social, and cultural influences. It also
discusses strategies for identifying relevant dimensions of
attitudes and beliefs and addressing response biases to
improve data accuracy. The paper also emphasizes the
linkage of theories to measurement constructs, ensuring
content validity by mapping theoretical concepts to
questionnaire items. Practical implications are
demonstrated through item wording, scale development,
and piloting. Ethical considerations, such as informed
consent, anonymity, and avoiding harm, are explored to
ensure participants' rights and well-being. Cultural and
contextual adaptation is also highlighted, as are appropriate
modes of administration to maximize response rates and
data quality. This theoretical analysis provides valuable
insights for psychometricians, researchers, and
psychologists in constructing questionnaires that effectively
capture attitudes and beliefs. By integrating theoretical
perspectives, researchers can enhance the validity and
reliability of their data, leading to a deeper understanding
of attitudes and beliefs in various research contexts. The
study also identifies future research directions and
innovations in questionnaire design methodologies to
continually improve attitude and belief measurement
practices.
Keywords :
Questionnaire Design, Attitudes, Beliefs, Theoretical Perspectives, Data Quality, Research Outcomes, Psychometrics.
This theoretical paper explores the role of
theoretical perspectives in questionnaire design, aiming to
improve data quality and research outcomes in social
studies research. It examines the significance of
questionnaire design in understanding human behaviour
and decision-making, and its potential contributions to
research practices. The paper examines classical theories
like cognitive dissonance and contemporary models like
implicit attitudes, focusing on understanding belief systems
and their cognitive, social, and cultural influences. It also
discusses strategies for identifying relevant dimensions of
attitudes and beliefs and addressing response biases to
improve data accuracy. The paper also emphasizes the
linkage of theories to measurement constructs, ensuring
content validity by mapping theoretical concepts to
questionnaire items. Practical implications are
demonstrated through item wording, scale development,
and piloting. Ethical considerations, such as informed
consent, anonymity, and avoiding harm, are explored to
ensure participants' rights and well-being. Cultural and
contextual adaptation is also highlighted, as are appropriate
modes of administration to maximize response rates and
data quality. This theoretical analysis provides valuable
insights for psychometricians, researchers, and
psychologists in constructing questionnaires that effectively
capture attitudes and beliefs. By integrating theoretical
perspectives, researchers can enhance the validity and
reliability of their data, leading to a deeper understanding
of attitudes and beliefs in various research contexts. The
study also identifies future research directions and
innovations in questionnaire design methodologies to
continually improve attitude and belief measurement
practices.
Keywords :
Questionnaire Design, Attitudes, Beliefs, Theoretical Perspectives, Data Quality, Research Outcomes, Psychometrics.
