Simple rating scale formats: exploring extreme response

Rating measurement methods represent one of the most popular and easily applied datacollection methods in marketing and social science research. These methods use rating scales, which are a type of closed-end question whose response alternatives are graduated or organised to measure a continuous construct such as an attitude, opinion, intention, perception or preference (Peterson 2000, p. 61). Rating scales come in 'all shapes and sizes'. For example, some of the many possible alternative scales for measuring one construct – such as, for instance, 'effectiveness' – include a seven-point numerical scale anchored by adjectives like 'completely effective' to 'completely ineffective', a percentage scale presented in either a continuous format (e.g. 0% to 100%) or in a categorical fashion (e.g. 91%–100%, 81%–90%, 71%–80%, and so forth), or measures containing various degrees of verbal categories, like 'very effective', 'somewhat effective', 'somewhat ineffective' and 'very ineffective'.

[1]  R. Peterson Constructing Effective Questionnaires , 1999 .

[2]  Shu Tian Cole Comparing Mail and Web-Based Survey Distribution Methods: Results of Surveys to Leisure Travel Retailers , 2005 .

[3]  D. Dillman Mail and internet surveys: The tailored design method, 2nd ed. , 2007 .

[4]  E. Greenleaf,et al.  MEASURING EXTREME RESPONSE STYLE , 1992 .

[5]  Raj Mehta,et al.  Comparing Response Rates and Response Content in Mail versus Electronic Mail Surveys , 1995 .

[6]  Scott M. Smith,et al.  Fundamentals of Marketing Research , 2004 .

[7]  Christina Lee,et al.  A Cross-Cultural, Between-Gender Study of Extreme Response Style , 1998 .

[8]  J. M. Kittross The measurement of meaning , 1959 .

[9]  Gerald Albaum,et al.  The Likert Scale Revisited , 1997 .

[10]  S. Yeager,et al.  Preliminary Assessment of Format-Specific Central Tendency and Leniency Error in Summated Rating Scales , 1982 .

[11]  G. Albaum The Likert scale revisited: an alternate version , 1997 .

[12]  Martin Wetzels,et al.  An Assessment of Equivalence Between Online and Mail Surveys in Service Research , 2006 .

[13]  Mark D. Shermis,et al.  A Comparison of Survey Data Collected by Regular Mail and Electronic Mail Questionnaires , 1999 .

[14]  Young Ik Cho,et al.  The Relation Between Culture and Response Styles , 2005 .

[15]  R. Petty,et al.  Attitude strength : antecedents and consequences , 1995 .

[16]  Cihan Cobanoglu,et al.  A Comparison of Mail, Fax and Web-Based Survey Methods , 2001 .

[17]  A. Eagly,et al.  Attitudes and opinions. , 1978, Annual review of psychology.

[18]  R. Likert “Technique for the Measurement of Attitudes, A” , 2022, The SAGE Encyclopedia of Research Design.

[19]  Lawrence B. Mohr,et al.  Understanding Significance Testing , 1990 .

[20]  Y. Poortinga,et al.  Response Styles in Rating Scales , 2004 .

[21]  Michael D. Kaplowitz,et al.  A Comparison of Web and Mail Survey Response Rates , 2004 .

[22]  J. Stanton AN EMPIRICAL ASSESSMENT OF DATA COLLECTION USING THE INTERNET , 1998 .

[23]  E. Greenleaf Improving Rating Scale Measures by Detecting and Correcting Bias Components in Some Response Styles , 1992 .

[24]  S. Yeager,et al.  Consistency of Response Style across Types of Response Formats , 1982 .

[25]  P. Chisnall Mail and Internet Surveys: The Tailored Design Method , 2007, Journal of Advertising Research.

[26]  Subhash Sharma,et al.  The impact of the number of scale points, dispositional factors, and the status quo decision heuristic on scale reliability and response accuracy , 2005 .

[27]  Gerald Albaum,et al.  Is a Central Tendency Error Inherent in the Use of Semantic Differential Scales in Different Cultures? , 2003 .

[28]  Hans Baumgartner,et al.  Response Styles in Marketing Research: A Cross-National Investigation , 2001 .