scholarly journals Preliminary measurement scales for sparkle and graininess

2020 ◽  
Author(s):  
Alejandro Ferrero ◽  
Esther Perales ◽  
Nina Basic ◽  
Marcel Pastuschek ◽  
Geiland Porrovecchio ◽  
...  
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.


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.


2020 ◽  
Vol 20 (4) ◽  
pp. 207-218
Author(s):  
Won Seok Lee ◽  
Joon Moon

This study aims to develop cross-cultural value measurement scales that can overcome established methodological problems and test the dimensional frameworks of the scale with non-Asian respondents. It applies a mixed-method approach to observe intrinsic, nationally distinct values, and develop a generalized values measurement scale. This study found new value dimensions that were not present in the previous value studies (i.e., life balance, emotional growth, family union, and friendship) and provided segmented subdimensions (i.e., balancing between work and rest, time management, rewards of investment, and self-examination). This complements and enhances the current body of knowledge on value measurement.


2014 ◽  
Vol 85 (2) ◽  
pp. 023506 ◽  
Author(s):  
G. Z. Zuo ◽  
J. S. Hu ◽  
J. Ren ◽  
Z. Sun ◽  
Q. X. Yang ◽  
...  

2021 ◽  
Vol 30 (4) ◽  
pp. S36-S43
Author(s):  
Mohammed Al Maqbali

A diagnosis of cancer is a major life stressor that can affect the physiological, psychological and physical state of the person concerned. Fatigue is a particularly common and troubling symptom that has a negative impact on quality of life throughout all phases of treatment and stages of the illness. The aim of this review is to provide background information on cancer-related fatigue. This review discusses cancer-related fatigue (CRF) in terms of the definition, prevalence, risk factors, aetiology, and the measurement scales used. The differences between definitions of symptoms and relevant theories will be explored and discussed to help explain the variety of instruments used in its measurement. The prevalence of fatigue will be assessed by looking critically at the evidence of fatigue and the factors that affect it. Potential treatment and management strategies for CRF will also be discussed. Finally, there will be an overview of the instruments used to measure fatigue. This review also provides important evidence for measuring and managing CRF that can help nurses to understand fatigue among patients with cancer. Assessing CRF should be routinely undertaken in clinical settings to help identify the proper interventions, treatments and management to reduce fatigue among cancer patients.


2016 ◽  
Vol 75 ◽  
pp. 127-136 ◽  
Author(s):  
Michael Morreau ◽  
John A. Weymark

1973 ◽  
Vol 36 (1) ◽  
pp. 227-233 ◽  
Author(s):  
A. Morley Greenberg ◽  
Lloyd H. Strickland

Ss were asked to attribute characteristics to the geometrical objects in the film used by Heider and Simmel, using 3 clusters of adjectives taken from the activity, potency, and evaluative dimensions respectively of the semantic differential. The original, descriptive findings of Heider and Simmel received support from the results derived from the use of measurement “scales.” The implications of the use of movies of “interacting” physical stimuli in the study of social attribution processes were discussed, and hypotheses and methods for additional studies were ventured.


1981 ◽  
Vol 26 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Ralph L. Keeney
Keyword(s):  

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