How to Describe the Difference between Factors and Corresponding Factor-Score Estimates

Methodology ◽  
2005 ◽  
Vol 1 (4) ◽  
pp. 143-158 ◽  
Author(s):  
André Beauducel
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Score ◽  
Component Analysis ◽  
Factor Pattern ◽  
Confirmatory Factor ◽  
Different Types ◽  
Component Loadings ◽  
The Difference

Abstract. Because of factor score indeterminacy, there can be substantial shifts in the theoretical meaning of factors and their corresponding score estimates. Therefore, the original factor pattern should be compared with the regression-component loadings (Schönemann & Steiger, 1976) corresponding to the factor-score estimates in order to detect possible shifts in the theoretical meaning. Especially with large loading matrices the similarity of the original factor pattern and the regression components of the score estimates may be ascertained by means of congruency coefficients. It is shown that these congruencies contain information that is not already given by measures of factor-score indeterminacy. Two examples illustrate the use of regression-component analysis for different types of factor-score estimates. The analyses reveal that the Bartlett-score estimates are most appropriate when factor interpretation is based on the factor pattern, which is usually the case in confirmatory factor analysis.

scholarly journals Multivariate and Confirmatory Factor Analysis of Vehicular Emissions in Some Parts of Benin City, Nigeria

2021 ◽  
Vol 2 ◽  
pp. 1-9
Author(s):  
I. R. Ilaboya ◽  
E. A. Otuaro
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Likelihood Estimation ◽  
Maximum Temperature ◽  
Vehicular Emissions ◽  
Vehicular Emission ◽  
Benin City ◽  
The People ◽  
Confirmatory Factor ◽  
The Difference

Decline in air quality over the years has been linked to the growing rate of urbanization as well as an increase in the number of vehicles occasioned by the increased purchasing power of the people. Most of the pollutants emitted from vehicular activities have been observed to have adverse effects on individuals as well as the atmosphere. The focus of this study is to employ multivariate and confirmatory factor analysis (CFA) based on maximum likelihood estimation, to study the incidence of vehicular emissions in some parts of Benin city metropolis. Seven (7) georeferenced points (University of Benin main gate, Ekosodin junction, Agen Junction, Super D junction, Nitel junction, Okhunmwun junction and Oluku market junction) were used for data collection. Pollutants from vehicular emission, namely; dinitrogen oxide (NO2), carbon monoxide (CO) including the total radiation were monitored in the morning and evening for a period (7th July to 12th August, 2020) with the aid of portable toxic gas monitors and radiation alert meters. Other measured parameters of interest include maximum temperature and wind speed. To ascertain the quality of the data, selected preliminary analysis, namely; test of normality, test of homogeneity, outlier detection and reliability test were done. With a calculated partial Eta squared based on Pillai’s trace of 0.325, it was concluded that; there exist about 32.50 % variability among the dependent variables. Based on the CFA results, it was concluded that the hypothesis formulated for multivariate analysis of variance fits the sample data. Therefore, the alternate hypothesis was rejected and it was concluded that; the difference in the concentration of vehicular emission was as a result of change in temperature occasioned by time of measurement.

scholarly journals Career Management Scale in Sports Organizations: A Validity and Reliability Study

2021 ◽  
Vol 15 (8) ◽  
pp. 2384-2389
Author(s):  
Erdem Eroğlu ◽  
Sultan Yavuz Eroğlu ◽  
Seydi Karakuş
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Correlation Analysis ◽  
Career Management ◽  
Validity And Reliability ◽  
Cronbach’S Alpha ◽  
Sports Organizations ◽  
Cronbach's Alpha ◽  
Confirmatory Factor ◽  
The Difference

Background: We wish to share the results of the scale we developed on the subject by evaluating the validity and reliability test of the career management scale in sports organizations. Methods: The study group consists of 317 participants working in provincial directorates of sports. The construct validity of the scale was tested by explanatory factor analysis and confirmatory factor analysis. Scale reliability was measured with Cronbach's Alpha and test-retest. The discrimination of the scale was tested based on the difference between the lower 27% and the upper 27%.A correlation analysis was carried out between scale factors. To calculate the reliability of 30 items in the career management scale, “Cronbach’s Alpha”, the internal consistency coefficient, was calculated. Results: The overall reliability of the scale was found to be very high as Alpha = 0.976. The analysis results showed that the fit statistics calculated with the confirmatory factor analysis fit well, and positive correlations were found between the dimensions of the scale and overall scores as a result of the correlation analysis (p <0.05). Keywords: Career, Career Management, Sports Management, Organizational Career Management, Individual Career Management

scholarly journals Intelligence and Creativity: Relationships and their Implications for Positive Psychology

Psico-USF ◽  
2015 ◽  
Vol 20 (2) ◽  
pp. 195-206 ◽  
Author(s):  
Tatiana de Cassia Nakano ◽  
Solange Muglia Wechsler ◽  
Carolina Rosa Campos ◽  
Queila Guise Milian
Keyword(s):  
Factor Analysis ◽  
Positive Psychology ◽  
Confirmatory Factor Analysis ◽  
Children And Adolescents ◽  
Human Potential ◽  
Verbal Creativity ◽  
Confirmatory Factor ◽  
Different Types ◽  
The Relationship ◽  
Moderate Relationship

<p>There is little consensus on the relationship between intelligence and creativity. This study aimed to investigate the associations between these constructs considering the importance that creativity has for positive psychology. Two studies were conducted using two test batteries: the first with 876 children and adolescents (55% female) using the Battery for Assessment of High Abilities/Giftedness and the second with 285 adolescents (54% female) with the Battery for Assessing Intelligence and Creativity. The results were analyzed by exploratory and confirmatory factor analysis and indicated that intelligence and figural and verbal creativity are independent factors, with little correlation between figural creativity and intelligence and a moderate relationship between verbal creativity and intelligence. In conclusion, it is necessary to evaluate both intelligence and the different types of creativity considering their contributions for identifying human potential and their influence on wellness.</p>

The Shame and Guilt Scales of the Test of Self-Conscious Affect–Adolescent (TOSCA-A): Factor Structure, Concurrent and Discriminant Validity, and Measurement and Structural Invariance Across Ratings of Males and Females

Assessment ◽  
2015 ◽  
Vol 24 (4) ◽  
pp. 517-527 ◽  
Author(s):  
Shaun Watson ◽  
Rapson Gomez ◽  
Eleonora Gullone
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Discriminant Validity ◽  
Mean Squared Error ◽  
Factor Model ◽  
Chi Square ◽  
Multiple Group ◽  
Confirmatory Factor ◽  
Shame And Guilt ◽  
The Difference

This study examined various psychometric properties of the items comprising the shame and guilt scales of the Test of Self-Conscious Affect–Adolescent. A total of 563 adolescents (321 females and 242 males) completed these scales, and also measures of depression and empathy. Confirmatory factor analysis provided support for an oblique two-factor model, with the originally proposed shame and guilt items comprising shame and guilt factors, respectively. Also, shame correlated with depression positively and had no relation with empathy. Guilt correlated with depression negatively and with empathy positively. Thus, there was support for the convergent and discriminant validity of the shame and guilt factors. Multiple-group confirmatory factor analysis comparing females and males, based on the chi-square difference test, supported full metric invariance, the intercept invariance of 26 of the 30 shame and guilt items, and higher latent mean scores among females for both shame and guilt. Comparisons based on the difference in root mean squared error of approximation values supported full measurement invariance and no gender difference for latent mean scores. The psychometric and practical implications of the findings are discussed.

scholarly journals Pengembangan Skala Deception Behavior in Social Media

2020 ◽  
Author(s):  
Clara Moningka ◽  
Maria Selviana
Keyword(s):  
Social Media ◽  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Confirmatory Factor

Kemajuan teknologi Internet di dunia memunculkan fenomena baru dalam penggunaan media sosial. Media sosial tidak hanya digunakan untuk berhubungan dengan orang lain, namun juga untuk membentuk kesan yang baik, bahkan untuk melakukan manipulasi. Pengguna media sosial seringkali memanipulasi penampakan mereka di media sosial, seperti mengedit foto atau memalsukan identitas mereka. Fenomena ini termasuk dalam Deception Behavior (perilaku menipu). Meski fenomena ini sering dijumpai, belum banyak studi yang berupaya untuk mengukur kecenderungan seseorang untuk terlibat dalam perilaku menipu di media sosial. Oleh karena itu, penelitian ini bertujuan untuk membuat skala Deception Behavior in Social Media berdasarkan teori Utz (2005). Partisipan penelitian adalah pengguna aktif media sosial sebanyak 457 orang di wilayah Jabodetabek dengan rentang usia 15-40 tahun. Penelitian ini meliputi pembuatan butir dan pengujian dengan menggunakan Principal Component Analysis (PCA), dilanjutkan dengan Confirmatory Factor Analysis (CFA). Sementara itu, reliabilitas diuji dengan menggunakan koefisien Cronbach’s Alpha. Hasil penelitian menunjukkan bahwa skala ini reliabel untuk mengukur deception behavior di media sosial.

scholarly journals Evaluation of Eight-Item Vancomycin Prescribing Confidence Questionnaire Among Junior Doctors

2021 ◽  
Vol 8 ◽  
Author(s):  
Lu Liu ◽  
Zhehan Jiang ◽  
Ana Xie ◽  
Weimin Wang
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Root Mean Square ◽  
Principal Component ◽  
Component Analysis ◽  
Junior Doctors ◽  
Mean Square ◽  
Extreme Response ◽  
Confirmatory Factor

Background: Assessing the preparedness of junior doctors to use vancomycin is important in medical education. Preparedness is typically evaluated by self-reported confidence surveys.Materials and Methods: An eight-item vancomycin prescribing confidence questionnaire was developed, piloted, and evaluated. The questionnaire responses were collected from 195 junior doctors and a series of statistical techniques, such as principal component analysis and confirmatory factor analysis, and were implemented to examine the validity and reliability.Results: The principal component analysis supported a one-factor structure, which was fed into a confirmatory factor analysis model resulting in a good fit [comparative fit index (CFI) = 0.99, Tucker–Lewis index (TLI) = 0.99, root mean square error of approximation (RMSEA) = 0.08, standardized root mean square residual (SRMR) = 0.04]. Ordinal-based α was 0.95, and various ωs were all above 0.93, indicating a high reliability level. The questionnaire responses were further proved to be robust to extreme response patterns via item response tree modeling. Jonckheere–Terpstra test results (z = 6.5237, p = 3.429e−11) showed that vancomycin prescribing confidence differed based on the experience in order (i.e., four ordinal independent groups: “≤10 times,” “11–20 times,” “21–30 times,” and “≥31 times”) and therefore provided external validity evidences for the questionnaire.Conclusions: The questionnaire is valid and reliable such that teaching hospitals can consider using it to assess junior doctors' vancomycin prescribing confidence. Further investigation of the questionnaire can point to the relationship between the prescribing confidence and the actual performance.

scholarly journals Owner Ethnicity: The Determinant of Relationship between Environment Uncertainty and Performance

2017 ◽  
Vol 1 (2) ◽  
pp. 179
Author(s):  
Lussia Mariesti Andriany
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Dummy Variable ◽  
Chinese Business ◽  
Confirmatory Factor ◽  
Competition Level ◽  
The Difference ◽  
And Performance ◽  
Two Stages ◽  
Simple Regression

<p>The aim of this research is to reveal effect of environment uncertainty which seen through competition level and costumer to performance. This research reveals the difference of relationship in environment uncertainty to performance between Chinese and non-Chinese business. Data are collected through direct survey to traditional retail owners by questionnaire and interview. Then, those data analyze in two stages, confirmatory factor analysis and simple regression with dummy variable. This research finds that there is no effect from environment uncertainty to performance. Also, there is no difference between Chinese and non-Chinese business in environment uncertainty to performance relationship.</p><p> </p><p><strong>Keywords</strong>: ethnic of business ownership, environment uncertainty, performance</p>

scholarly journals Workshop Analisis Faktor untuk Data Penelitian Ilmu Sosial dan Kependidikan

2021 ◽  
Vol 5 (1) ◽  
pp. 37-46
Author(s):  
Dhoriva Urwatul Wutsqa ◽  
Kismiantini Kismiantini ◽  
Muhammad Fauzan ◽  
Rosita Kusumawati ◽  
Sahid Sahid ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Confirmatory Factor

Kegiatan PPM ini bertujuan memberikan pelatihan penggunaan program R dan SPSS dalam penelitian data ilmu sosial dan kependidikan kepada para praktisi lulusan S1, mahasiswa pasca sarjana, dan dosen di lingkungan universitas di Yogyakarta. Penelitian dalam ilmu sosial dan kependidikan seringkali melibatkan banyak variabel yang saling berkorelasi maupun mempunyai korelasi yang tinggi, misalnya dalam pengembangan suatu instrument penelitian. Penghapusan variabel yang mempunyai korelasi tinggi bisa mengakibatkan hilangnya informasi, untuk mengatasi hal tersebut dapat digunakan analisis komponen utama (Principal Component Analysis/PCA). Sedangkan dalam hal menentukan konstruk yang sesuai dari butir-butir soal yang terbentuk dapat dilakukan dengan dua pendekatan yaitu analisis faktor eksplorasi (Exploratory Factor Analysis/EFA) dan analisis faktor konfirmasi (Confirmatory Factor Analysis/CFA). Permasalahan yang terkait dengan reduksi variabel dan pembentukan konstruk pada pengembangan instrument ini merupakan hal yang sangat penting dalam penelitian ilmu sosial dan kependidikan.  Sehingga suatu metode analisis PCA, EFA, dan CFA dengan menggunakan program R dan SPSS mutlak diperlukan. Workshop yang diikuti oleh 26 peserta peserta ini dapat berjalan dengan baik. Berdasarkan pelaksanaan dan evaluasi kegiatan ini dapat disimpulkan bahwa tujuan dapat tercapai dengan baik.

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