Content Factor Analysis of Crowd Workers' Satisfaction

Author(s):  
Andrey Barashev ◽  
Guoxin Li
2021 ◽  
Vol 6 (1) ◽  
pp. 58-67
Author(s):  
Krisnawati Setyaningrum Nugraheni ◽  
Tuwuh Adhistyo Wijoyo

Traditional food is food that is formed by a process of development that lasts for years, because of the fear of being abandoned by the younger generation, forgetting and refusing to consume traditional food which has existed before. So the purpose of this study is to determine the factors that influence the motivation of traditional food culinary lovers in Semarang City. The data analysis technique used is descriptive statistics and factor analysis using the SPSS 25 program. Based on the results of the research that has been done, the following conclusions can be drawn. The motivational factors for choosing food for traditional food culinary lovers in the city of Semarang by using 400 respondents can be drawn the following conclusions, namely, there are six determining factors that can be seen from the highest loading factor of each formed factor. These factors are natural ingredients factors, sensory attractiveness factors, price, mood factors, healthy food factors, and familiarity factors. The dominant factor of motivation for choosing food for traditional food culinary lovers is the natural content factor.


2016 ◽  
Vol 2016 ◽  
pp. 1-12
Author(s):  
Ningbo Hao ◽  
Jie Yang ◽  
Haibin Liao ◽  
Wenhua Dai

Various methods for feature extraction and dimensionality reduction have been proposed in recent decades, including supervised and unsupervised methods and linear and nonlinear methods. Despite the different motivations of these methods, we present in this paper a general formulation known as factor analysis to unify them within a common framework. During factor analysis, an object can be seen as being comprised of content and style factors, and the objective of feature extraction and dimensionality reduction is to obtain the content factor without style factor. There are two vital steps in factor analysis framework; one is the design of factor separating objective function, including the design of partition and weight matrix, and the other is the design of space mapping function. In this paper, classical Linear Discriminant Analysis (LDA) and Locality Preserving Projection (LPP) algorithms are improved based on factor analysis framework, and LDA based on factor analysis (FA-LDA) and LPP based on factor analysis (FA-LPP) are proposed. Experimental results show the superiority of our proposed approach in classification performance compared to classical LDA and LPP algorithms.


Jurnal IPTA ◽  
2016 ◽  
Vol 4 (1) ◽  
pp. 91
Author(s):  
Si Gede Ngurah Bramantya Agustiano ◽  
I Made Kusuma Negara ◽  
I Wayan Suardana

This study aims to determine the factors that influence hotel reservation service at Bali Megah Wisata Tour and Travel and a contributing factor dominant in hotel reservation service at Bali Megah Wisata Tour and Travel. The respondents in this study use purposive sampling technique in which the criteria are tourists who have made hotel reservation at Bali Megah Wisata Tour and Travel, with the total sample of 190 respondents. Questionnaires were used to collect data have been tested for validity and reliability. The data analysis which is used to answer the hypothesis of this study is factor analysis. The results of factor analysis showed that 5 factors affecting hotel reservation service at Bali Megah Wisata Tour and Travel are structur and ease of use factor with eigen value 6,492, reputation and security factor with eigen value 2,671, usefulness factor with eigen value 2,497, information content factor with eigen value 1,889 and responsiveness and personalization factor with eigen value 1,059. Structure and ease of use factor is a contributing factor dominant in hotel reservation service at Bali Megah Wisata Tour and Travel.


Author(s):  
Earl Chrysler ◽  
Stuart Van Auken

The purpose of this paper is to demonstrate a methodology by which Management Information Systems (MIS) alumni evaluate the content of courses and their satisfaction with an entire MIS program. The approach can be used to assess the relevancy of an MIS curriculum. By way of clarification, a Management Information Systems (MIS) program prepares its graduates to be effective in the tasks necessary to design, program and implement systems that will provide management with timely, accurate and useful information for decision making. This is in contrast to Computer Science (CS) programs that prepare their graduates to be knowledgeable in the technical aspects of computer hardware and operating systems software. This study first determines if there are any differences in the evaluations of the content of required MIS courses by alumni based upon whether the graduate was using their first year on the job or one’s current position as a frame of reference. Next, a factor analysis is performed, using the scores earned by specific courses, to reduce the content value of specific courses into specific factors, thus simplifying understanding of the type of learning that is taking place. A factor analysis is performed both for course content scores during one’s first year on the job and, again, in one’s current position. Using a global measure of satisfaction with the entire MIS program, the course content factor scores are then regressed against a student’s satisfaction with the entire MIS program. This regression analysis is performed, once again, for both one’s first year on the job and in one’s current position. The implications for evaluating the effectiveness of an MIS curriculum are presented and discussed.


1977 ◽  
Vol 20 (2) ◽  
pp. 319-324
Author(s):  
Anita F. Johnson ◽  
Ralph L. Shelton ◽  
William B. Arndt ◽  
Montie L. Furr

This study was concerned with the correspondence between the classification of measures by clinical judgment and by factor analysis. Forty-six measures were selected to assess language, auditory processing, reading-spelling, maxillofacial structure, articulation, and other processes. These were applied to 98 misarticulating eight- and nine-year-old children. Factors derived from the analysis corresponded well with categories the measures were selected to represent.


2001 ◽  
Vol 120 (5) ◽  
pp. A51-A52 ◽  
Author(s):  
B FISCHLER ◽  
J VANDENBERGHE ◽  
P PERSOONS ◽  
V GUCHT ◽  
D BROEKAERT ◽  
...  

2015 ◽  
Vol 74 (3) ◽  
pp. 119-127 ◽  
Author(s):  
Martine Bouvard ◽  
Anne Denis ◽  
Jean-Luc Roulin

This article investigates the psychometric properties of the Revised Child Anxiety and Depression Scale (RCADS). A group of 704 adolescents completed the questionnaires in their classrooms. This study examines potential confirmatory factor analysis factor models of the RCADS as well as the relationships between the RCADS and the Screen for Child Anxiety Related Emotional Disorders-Revised (SCARED-R). A subsample of 595 adolescents also completed an anxiety questionnaire (Fear Survey Schedule for Children-Revised, FSSC-R) and a depression questionnaire (Center for Epidemiological Studies Depression Scale, CES-D). Confirmatory factor analysis of the RCADS suggests that the 6-factor model reasonably fits the data. All subscales were positively intercorrelated, with rs varying between .48 (generalized anxiety disorder-major depression disorder) and .65 (generalized anxiety disorder-social phobia/obsessive-compulsive disorder). The RCADS total score and all the RCADS scales were found to have good internal consistency (> .70). The correlations between the RCADS subscales and their SCARED-R counterparts are generally substantial. Convergent validity was found with the FSSC-R and the CES-D. The study included normal adolescents aged 10 to 19. Therefore, the findings cannot be extended to children under 10, nor to a clinical population. Altogether, the French version of the RCADS showed reasonable psychometric properties.


GeroPsych ◽  
2014 ◽  
Vol 27 (4) ◽  
pp. 171-179 ◽  
Author(s):  
Laurence M. Solberg ◽  
Lauren B. Solberg ◽  
Emily N. Peterson

Stress in caregivers may affect the healthcare recipients receive. We examined the impact of stress experienced by 45 adult caregivers of their elderly demented parents. The participants completed a 32-item questionnaire about the impact of experienced stress. The questionnaire also asked about interventions that might help to reduce the impact of stress. After exploratory factor analysis, we reduced the 32-item questionnaire to 13 items. Results indicated that caregivers experienced stress, anxiety, and sadness. Also, emotional, but not financial or professional, well-being was significantly impacted. There was no significant difference between the impact of caregiver stress on members from the sandwich generation and those from the nonsandwich generation. Meeting with a social worker for resource availability was identified most frequently as a potentially helpful intervention for coping with the impact of stress.


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