scholarly journals Confirmatory Factor Analysis for a Service-Learning Outcomes Measurement Scale (S-LOMS)

2020 ◽  
Vol 32 (1) ◽  
pp. 3-34
Author(s):  
Ka Hing Lau ◽  
Robin Stanley Snell
Keyword(s):  
Factor Analysis ◽  
Service Learning ◽  
Confirmatory Factor Analysis ◽  
Student Learning ◽  
Learning Outcomes ◽  
Student Learning Outcomes ◽  
Higher Order ◽  
Measurement Scale ◽  
Outcomes Measurement ◽  
Confirmatory Factor

Service-learning was introduced into Hong Kong over a decade ago, yet there is a research gap about the self-perceived student learning outcomes, partly due to the lack of a reliable measurement instrument across disciplines and service-learning types. This study evaluated a recently created Service-Learning Outcomes Measurement Scale (S-LOMS) through confirmatory factor analysis with 629 students. S-LOMS measures self-perceived student learning outcomes with 56 items covering various learning outcome domains under four higher-order categories: knowledge application; personal and professional skills; civic orientation and engagement; and self-awareness. Alternative measurement models were compared, with the results indicating that although a model with 11 domains and without higher-order categories was preferred, there was also support for a model with 10 domains subsumed under the four higher-order categories. Multi-sample analyses indicated that both models were stable across gender.

scholarly journals MODELTEAM GAME TOURNAMENT (TGT) BERBANTUAN MEDIA KARTU SOAL BERBASIS HOTS TERHADAP HASIL BELAJAR MAHASISWA

2021 ◽  
Vol 9 (2) ◽  
pp. 86-92
Author(s):  
FLORENTINA. M PANDA ◽  
CATUR F. DJARWO
Keyword(s):  
Student Learning ◽  
Learning Outcomes ◽  
Atomic Structure ◽  
Higher Order Thinking ◽  
Student Learning Outcomes ◽  
Thinking Skills ◽  
Learning Model ◽  
Higher Order ◽  
Control Group ◽  
Cooperative Approach

The atomic structure material has certain characteristics and difficulties, including the need for a lot of knowledge and analytical skills that students have. Therefore, students need to be given the right learning model in order to increase their interest and learning activities.The learning model that can be done is to carry out learning by applying a cooperative approach, one of which is the Team Game Tournament (TGT) type. The effectiveness of using the TGT model can be increased by providing question cards media. The question card media used in this study is a card containing Higher Order Thinking Skill (HOTS) questions that require students' higher order thinking skills.The purpose of this study was to determine the effectiveness of using the TGT type cooperative learning model with the help of HOTS-based question card media on atomic structure material on higher-order thinking skills and student learning outcomes of physics education.Based on the results of research and calculations, it can be concluded that the provision of question card media in the TGT model on the atomic structure material is effective on student learning outcomes with Sig values. (0.028) <0.05, then there is a difference in learning outcomes so that it can be concluded that the experimental class is more effective than the control class. Supported by the highest lowest scores in the experimental group, namely 75 and 100 with an average of 90.02, while the control group was 65 and 100 with an average of 84.2.

scholarly journals A Measurement Scale for Indecisiveness and its Relationship to Career Indecision and Other Types of Indecision

2002 ◽  
Vol 18 (2) ◽  
pp. 113-122 ◽  
Author(s):  
Veerle Germeijs ◽  
Paul De Boeck
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Career Decision ◽  
Self Esteem ◽  
Career Indecision ◽  
Measurement Scale ◽  
Differential Relation ◽  
Distinctive Features ◽  
Confirmatory Factor

Summary: A scale for indecisiveness was constructed and then used to investigate distinctive features of indecisiveness. In the literature on decision making, the distinction between indecision and indecisiveness is an important issue, but evidence showing that these two constructs are different is lacking. We found clear evidence for such a distinction, from a joint exploratory factor analysis of the indecisiveness scale and a career indecision scale, and from the differential relation of both with self-esteem as a third variable. Furthermore, with confirmatory factor analysis, we found that the correlations between items on career indecision cannot be explained only by indecisiveness, and that also a factor specific to the situation of career decision is needed. These results corroborate the distinction between career indecision and indecisiveness. Although it must be differentiated from specific types of indecision, such as career indecision, indecisiveness turned out to be a correlate of the specific indecisions - one that can explain the intercorrelations between different kinds of more specific indecision.

Personality Assessment Inventory: A Confirmatory Factor Analysis

1994 ◽  
Vol 79 (3_suppl) ◽  
pp. 1441-1442 ◽  
Author(s):  
Gregory J. Boyle ◽  
James Ward ◽  
Tania J. Lennon
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Personality Assessment ◽  
Personality Assessment Inventory ◽  
Higher Order ◽  
Self Report ◽  
Proposed Model ◽  
Confirmatory Factor ◽  
Order Factor ◽  
Report Measure

The Personality Assessment Inventory is a recently constructed multidimensional self-report measure of personality traits. Morey reported the results of a scale factoring, claiming that the instrument measures four separate higher-order dimensions; however, in an independent Australian study of the psychometric properties of the inventory, Boyle and Lennon found five higher-order dimensions, using factor analytic procedures intended to maximize simple structure. The present paper reports the results of a confirmatory factor analysis for the proposed model based on the Australian data. The results indicate that the model does not provide a satisfactory fit, raising questions about the higher-order factor structure.

Lifetime and 12-month prevalence rates of sub-clinical psychosis symptoms in a community cohort of 50-year-old individuals

2013 ◽  
Vol 28 (5) ◽  
pp. 302-307 ◽  
Author(s):  
W. Rössler ◽  
M.P. Hengartner ◽  
V. Ajdacic-Gross ◽  
H. Haker ◽  
J. Angst
Keyword(s):  
Factor Analysis ◽  
General Population ◽  
Confirmatory Factor Analysis ◽  
Small Proportion ◽  
A Priori ◽  
Higher Order ◽  
Thought Disorder ◽  
Prevalence Rates ◽  
Confirmatory Factor ◽  
Logistic Regressions

AbstractBackground:Estimation of prevalence rates of sub-clinical psychosis symptoms can vary considerably depending on the methodology used. Furthermore, discussions are ongoing how prevalence rates may differ across various syndromes.Method:We analyzed data from the prospective Zurich Study, assessing sub-clinical psychosis with a semi-structured clinical interview in a community cohort of 50 years old individuals. The higher-order factors of psychosis symptoms were analyzed with confirmatory factor analysis to validate the a priori specified symptom-structure. Further associations were examined with contingency tables and logistic regressions.Results:The confirmatory factor analysis was consistent with a structure with four higher-order syndromes. Those different syndromes were labeled “thought disorder” (lifetime prevalence = 10.6%), “ego disorder” (4.8%), “hallucination” (9.7%), and “schizotypy” (28.2%). A strong discrepancy was noted between the 12-month prevalence of any symptoms and those considered to be severe. Twelve-month prevalence rates of distressful syndromes ranged from 0.1% for hallucinations up to 6.6% for schizotypy. The most strongly interrelated syndromes were thought disorder and ego disorder (OR = 12.4).Conclusion:Our findings indicate a continuity of sub-clinical psychosis within the general population even though only a small proportion suffers from distressing symptoms. Our analyses showed that the syndromes identified here are similar to those found in full-blown schizophrenia, albeit in an attenuated form.

scholarly journals Expected Learning Outcomes: A Confirmatory Factor Analysis of Higher Education in Interior Architecture and Interior Design for the Thailand Development

2019 ◽  
Vol 10 (4) ◽  
pp. 11-19
Author(s):  
Pornthep Jewpairojkit ◽  
Thanin Rattanolarn ◽  
Songwut Ekwuttiwongsa
Keyword(s):  
Higher Education ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Learning Outcomes ◽  
Interior Design ◽  
Professional Education ◽  
Interpersonal Relationship ◽  
Measurement Model ◽  
Interior Architecture ◽  
Confirmatory Factor

Abstract Nowadays, the standard of professional education, interior architecture and interior design at higher education in Thailand must meet the certification criteria from the Professional Council. However, the expected learning outcomes results in the past studies has not studied the components of expected learning outcomes that are explicit and consistent with the 20-Year National Strategy. The researchers therefore aim to study such components to lead to the development of a standard measurement model to further expected learning outcomes. The researchers synthesized the initial components through the document to create and develop a questionnaire to evaluate the level of performance by estimating 5 levels and collect data with the senior students in the curriculum that has been approved by the Professional Council. Divided into 362 samples in the analysis of survey elements and 364 samples in Confirmatory Factor Analysis by Cluster Random Sampling from state and private universities. The survey component analysis resulted in 6 components along with confirmatory factor analysis of empirical component. The results of the sequence analysis of weight components from descending order as follows: Cognitive for profession skill (CP)=.96 Interpersonal relationship and responsibility skill (IR)=.89 In numerical communication and information technology skill(NC)=.87 Profession future of Thailand skill (PF)=.85 Knowledge for Professional practice skill (KPP)=.73 Moral and ethical skill (ME) =.67.

scholarly journals Phone Snubbing Scale (Phub-S) : A Phubbing Measurement For Young Moslem In Industry 4.0

2021 ◽  
Vol 6 (2) ◽  
pp. 179-195
Author(s):  
Iredho Fani Reza
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Industrial Revolution ◽  
Three Dimensions ◽  
Measurement Scale ◽  
Validity And Reliability ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Total Correlation ◽  
Confirmatory Factor

The purpose of this study is to develop a measurement scale for phone snubbing among Moslem youth in the era of the industrial revolution 4.0. This research is used a quantitative survey research with the number of respondents N = 503 who were Moslem youths at a university in the Republic of Indonesia which was determined by multistage sampling technique. The instrument used is the Phone Snubbing Scale (Phub-S) which consists of three dimensions - ignore others, dependency on gadgets and social disconnectedness. In analyzing the data through the process of building validity consisting of confirmatory factor analysis and total correlation of corrected items, analyzing internal consistency reliability using Cronbach's alpha technique. The results showed that the Phone Snubbing Scale (Phub-S) has a good item validity and reliability test as a measurement scale for phone insulting behavior young Moslems in the era of the industrial revolution 4.0. The recommended Phub-S items totaling 45 items that have been fulfilled are valid based on testing confirmatory factor analysis (CFA) technique (standardized solution (SS) > 0.4 and T-Values > 1.96), Corrected Item-Total Correlation ≥ 0.30 and with a scale reliability value. 0.932 (Cronbach's Alpha value> 0.8).

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