Development of Measurement Scales for Measuring Performance Value in the Market of Research, Development, and Innovation in Technical Science

Author(s):  
Nina Antičić
Methodology ◽  
2011 ◽  
Vol 7 (3) ◽  
pp. 88-95 ◽  
Author(s):  
Jose A. Martínez ◽  
Manuel Ruiz Marín

The aim of this study is to improve measurement in marketing research by constructing a new, simple, nonparametric, consistent, and powerful test to study scale invariance. The test is called D-test. D-test is constructed using symbolic dynamics and symbolic entropy as a measure of the difference between the response patterns which comes from two measurement scales. We also give a standard asymptotic distribution of our statistic. Given that the test is based on entropy measures, it avoids smoothed nonparametric estimation. We applied D-test to a real marketing research to study if scale invariance holds when measuring service quality in a sports service. We considered a free-scale as a reference scale and then we compared it with three widely used rating scales: Likert-type scale from 1 to 5 and from 1 to 7, and semantic-differential scale from −3 to +3. Scale invariance holds for the two latter scales. This test overcomes the shortcomings of other procedures for analyzing scale invariance; and it provides researchers a tool to decide the appropriate rating scale to study specific marketing problems, and how the results of prior studies can be questioned.


2014 ◽  
Author(s):  
Elise Harrison ◽  
Valorie O'Keefe ◽  
Susan Engi Raiford ◽  
Diane L. Coalson

1997 ◽  
Author(s):  
Jimmy L. Mitchell ◽  
David Tucker ◽  
Jonathan Fast ◽  
Winston Bennett ◽  
Walter G. Albert

1991 ◽  
Author(s):  
Christopher D. Lorish ◽  
Noval Abraham ◽  
Janet S. Austin ◽  
Laurence A. Bradley ◽  
Graciela S. Alarcón

2018 ◽  
Vol 2 (1) ◽  
pp. 45-54
Author(s):  
Qurotul Aini ◽  
Siti Ria Zuliana ◽  
Nuke Puji Lestari Santoso

The scale is usually used to check and determine the value of a qualitative factor in quantitative measures. The measurement scale is a management in agreement that is used as a reference to determine the short length of the interval that is in the measuring instrument, so that the measuring instrument when used in measurements will produce quantitative data. The results of the scale management calculation must be interpreted carefully because in addition to producing a rough picture, the respondent's answers are not just straightforward to be trusted. Types of measurement scales: Likert scale, Guttman scale, semantic differential scale, rating scale, Thurstone scale, Borgadus scale, and various other measurement management scales. One of the most difficult jobs for information technology researchers faced with the necessity of measuring variables is: finding directions in the midst of many existing sizes. If there is a good size for a particular variable, it seems that there are not many reasons to compile a new size yourself. Keywords: Scale, Measurement, Variables.


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