The Measurement of Change in a Unidimensional Attitude by Guttman Scale Analysis Techniques

1958 ◽  
Vol 22 (2) ◽  
pp. 116 ◽  
Author(s):  
Robert E. Stover
2021 ◽  
Vol 8 (3) ◽  
pp. 672-695
Author(s):  
Thomas DeVaney

This article presents a discussion and illustration of Mokken scale analysis (MSA), a nonparametric form of item response theory (IRT), in relation to common IRT models such as Rasch and Guttman scaling. The procedure can be used for dichotomous and ordinal polytomous data commonly used with questionnaires. The assumptions of MSA are discussed as well as characteristics that differentiate a Mokken scale from a Guttman scale. MSA is illustrated using the mokken package with R Studio and a data set that included over 3,340 responses to a modified version of the Statistical Anxiety Rating Scale. Issues addressed in the illustration include monotonicity, scalability, and invariant ordering. The R script for the illustration is included.


2019 ◽  
Author(s):  
Rochelle Forrester

Guttman scale analysis is a very useful tool to understand the evolution of societies. It shows the accumulation of cultural traits throughout history in various societies and that those cultural traits were usually accumulated in the same order. The results of studies, by Robert Carneiro and others, shows the accumulation of cultural traits is not random and indicates a universal pattern in cultural evolution. The universal pattern is caused by increasing human knowledge of the environment we live in. Human societies usually acquire this knowledge in the same order, with easier discoveries concerning the natural world being made earlier than more complex discoveries. This means human social and cultural history, usually follows a particular course, a course that is determined by the structure of the human environment.


2009 ◽  
Vol 50 (9) ◽  
pp. 4496 ◽  
Author(s):  
Vijaya K. Gothwal ◽  
Thomas A. Wright ◽  
Ecosse L. Lamoureux ◽  
Konrad Pesudovs

2020 ◽  
Vol 14 (2) ◽  
pp. 41-48
Author(s):  
Akka Latifah Yusdinar ◽  
Yari Harjo

The method of research conducted by surveying 100 respondents from a population of 100 Polpulasi with a structured method using questionnaire instruments using the Likert measurement scale, analysis techniques and using classical tests, multiple regression, and the results of research simultaneously and in parallel shows the influence of motivation and discipline on employee performance. There is a significant effect of Motivation on Member Performance in the SPKT Section of KORPS POLAIRUD Baharkam Polri, this is obtained by t table: tcount 1.884 ttable 1.658, and R² of 0.364 (36.40%). There is a significant influence of discipline on the Performance of Members in the SPKT Korpolairud Section Baharkam Baharkam Polri, this is obtained by t table: tcount 7.333 t table 1.658, and R² of 0.364 (36.40%).From the results of statistical calculations can be explained. R value of 0.603 and Squere R value (r determinant) of 0.364 gives the meaning that the motivation variable and discipline variable on employee performance has an effect of 36.40% on the performance variable. Meanwhile, the remaining 63.60 ^% is influenced by other factors not discussed in this study.


2005 ◽  
Vol 94 (11) ◽  
pp. 916-925 ◽  
Author(s):  
Marcus Dittrich ◽  
Ingvild Birschmann ◽  
Christiane Stuhlfelder ◽  
Albert Sickmann ◽  
Sabine Herterich ◽  
...  

SummaryNew large-scale analysis techniques such as bioinformatics, mass spectrometry and SAGE data analysis will allow a new framework for understanding platelets. This review analyses some important options and tasks for these tools and examines an outline of the new, refined picture of the platelet outlined by these new techniques. Looking at the platelet-specific building blocks of genome, (active) transcriptome and proteome (notably secretome and phospho-proteome), we summarize current bioinformatical and biochemical approaches, tasks as well as their limitations. Understanding the surprisingly complex platelet regarding compartmentalization, key cascades, and pathways including clinical implications will remain an exciting and hopefully fruitful challenge for the future.


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