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 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.

scholarly journals Structural Validity of the Mini-Balance Evaluation Systems Test (Mini-BESTest) in People With Mild to Moderate Parkinson Disease

2016 ◽  
Vol 96 (11) ◽  
pp. 1799-1806 ◽  
Author(s):  
Martin Benka Wallén ◽  
Kimmo Sorjonen ◽  
Niklas Löfgren ◽  
Erika Franzén
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Parkinson Disease ◽  
Exploratory Factor Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Balance Test ◽  
Evaluation Systems ◽  
Confirmatory Factor

Abstract Background The Mini-Balance Evaluation Systems Test (Mini-BESTest) is a clinical balance test comprising 14 items assumed to reflect the unidimensional construct “dynamic balance.” Objective The study objective was to examine the dimensionality of the test and the properties of each item and their interrelationships in elderly people with mild to moderate Parkinson disease (PD). Design This was a cross-sectional study in a laboratory setting. Methods A total of 112 participants (mean age=73 years) with idiopathic PD (Hoehn and Yahr stages 1–3) were assessed by physical therapists. Local independence among items was examined with Rasch modeling. Unidimensionality was tested by running a principal component analysis on the residuals. An exploratory factor analysis was used to examine the structure of the test, and a confirmatory factor analysis was used to evaluate the fit of the derived model. Results The first residual component of the principal component analysis, with an eigenvalue of greater than 2, superseded the assumption of unidimensionality. After the omission of item 7 because of convergence problems, the exploratory factor analysis suggested that a 3-factor solution best fit the data. A confirmatory factor analysis demonstrated acceptable fit of the final model, although item 14 loaded poorly on its factor. Limitations The sample size was on the lower end of what is generally recommended. Conclusions This study could not confirm that the Mini-BESTest is unidimensional. Gait items were dispersed over all factors, indicating that they may reflect different constructs. Nonetheless, as there arguably is no clinical balance test superior to the Mini-BESTest today, we recommend using the total score for assessing gross balance in this population and individual items to identify specific weaknesses. Moreover, dual tasks should be assessed separately because they are an important aspect of balance control in people with PD, reflected in only one item of the test.

scholarly journals Using principal component analysis to validate psychological scales: Bad statistical habits we should have broken yesterday II

2020 ◽  
Author(s):  
Stefan L.K. Gruijters
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Short Paper ◽  
Confirmatory Factor ◽  
Psychological Scales

In this short paper, I review some reasons why the use of PCA finds little justication in the context of validating psychological scales. I make a case for the burgeoning use of better alternatives such as confirmatory factor analysis(CFA).

scholarly journals Confirmatory Factor Analysis Compared with Principal Component Analysis to Derive Dietary Patterns: A Longitudinal Study in Adult Women

2015 ◽  
Vol 145 (7) ◽  
pp. 1559-1568 ◽  
Author(s):  
Annabelle Bédard ◽  
Judith Garcia-Aymerich ◽  
Margaux Sanchez ◽  
Nicole Le Moual ◽  
Françoise Clavel-Chapelon ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Longitudinal Study ◽  
Confirmatory Factor Analysis ◽  
Dietary Patterns ◽  
Principal Component ◽  
Component Analysis ◽  
Adult Women ◽  
Confirmatory Factor

scholarly journals Validation of AQoL-8D: a health-related quality of life questionnaire for adult patients referred for otolaryngology

2021 ◽  
Author(s):  
Anita Obrycka ◽  
Jose-Luis Padilla ◽  
Artur Lorens ◽  
Piotr Henryk Skarzynski ◽  
Henryk Skarzynski
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Pearson Correlation ◽  
Adult Population ◽  
Life Questionnaire ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Content Relevance ◽  
Confirmatory Factor ◽  
Item Content

Abstract Purpose The purpose of the study was to validate the AQoL-8D questionnaire in the adult population of patients referred to an otolaryngology clinic. Methods AQoL-8D was translated into Polish. 463 patients (age18–80 years) with otolaryngological conditions were assessed with the AQoL-8D, SF-6D, and SWLS questionnaires. We investigated the item content-relevance, factor structure by means of Confirmatory Factor Analysis, corrected item-total correlations, Cronbach’s alpha, Pearson correlation of the AQoL-8D scores with results from SF-6D and from the SWLS questionnaires. Finally, ANOVA was used to test the AQoL-8D ability to group the HRQoL of patients in terms of their otolaryngological management type. Results The median score of item content-relevance was 5.0 for all AQoL-8D items. Confirmatory Factor Analysis revealed the following fit indices: Comparative Fit Index = 0.81; Tucker–Lewis Index = 0.80; and Root Mean Square Error of Approximation = 0.07. Cronbach's alpha for AQoL-8D dimensions ranged from 0.48 to 0.79. Mean item-total correlations over all dimensions, super dimensions, and the instrument overall were higher than 0.3. There was a significant Pearson correlation between the results obtained with AQoL-8D and SF-6D (r = 0.68), and with AQoL-8D and SWLS (r = 0.43). A one-way ANOVA showed a significant effect of management type on HRQoL as measured by AQoL-8D [F(4,458) = 6.12, p < 0.001] Conclusion AQoL-8D provides valid and reliable measures of HRQoL in patients undergoing otolaryngological treatment. Because it is a generic questionnaire, it is possible to make general comparisons of otolaryngology outcomes with those from other subspecialties.

scholarly journals Validation of the Spanish-Mexican Version of the Australian Breastfeeding Attitude Questionnaire in Higher Education Health Students

2021 ◽  
Vol 18 (9) ◽  
pp. 4609
Author(s):  
Gabriela Alejandra Grover-Baltazar ◽  
Gabriela Macedo-Ojeda ◽  
Ana Sandoval-Rodríguez ◽  
Marianne Martínez-Vizmanos ◽  
Lucrecia Carrera-Quintanar ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Positive Attitudes ◽  
Confirmatory Factor ◽  
Valid Instrument ◽  
The One ◽  
Breastfeeding Attitudes

Positive attitudes towards breastfeeding in health professionals/students have been associated with increasing their confidence to provide support and accompaniment to mothers. In Mexico, there is no valid/reliable tool to assess attitudes towards breastfeeding in this population. The Australian Breastfeeding Attitudes (and Knowledge) Questionnaire (ABAQ) measures attitudes in the Australian population. We aimed to adapt and validate the ABAQ in Mexican health students. We included 264 health students (nursing, nutrition, and medicine) from the University of Guadalajara. Bilingual translators carried out the Spanish adaptation with a reverse translation into English. Experts evaluated the content validity. Reliability was evaluated through an internal consistency analysis (Cronbach’s alpha) and construct validity through convergent–divergent validation, item–total correlation, exploratory factor analysis (by principal components), and confirmatory factor analysis. According to the exploratory factor analysis, only one component was identified. Seven items were removed (low correlation between items ≤0.2 and low factor load ≤0.3). The Cronbach’s alpha was 0.78. According to the confirmatory factor analysis, the one-factor solution of the ABAQ-13Mx showed a good model fit (X2 = 98.41, G = 62, p = 0.02, CFI = 0.940, and RMSEA = 0.048). The ABAQ-13Mx is a reliable and valid instrument for evaluating attitudes towards breastfeeding in Mexican health degree students.

scholarly journals THE HOMOGENEITY OF SCALES OF INTELLECTUAL ABILITIES: PSYCHOMETRIC ANALYSIS

2021 ◽  
pp. 144-169
Author(s):  
Anatoly N. Krichevets ◽  
Alexey A. Korneev ◽  
K.V. Sugonyaev
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Detailed Analysis ◽  
Alpha Coefficient ◽  
Cronbach’S Alpha ◽  
Testing Procedures ◽  
Cronbach's Alpha ◽  
Psychometric Instruments ◽  
Confirmatory Factor ◽  
Item Level

Relevance. Nowadays the researchers commonly use a limited set of standard procedures and statistical coefficients when develop psychometric instruments and investigate their structure. The routine using of such procedures without taking into account the specific features of the psychometric scales can lead to incomplete or even inadequate results. In this context detailed consideration of the structure of psychometric instruments seems to be important and it may demand various non-standard ways of statistical analysis. Objectives. To conduct detailed analysis of the results of two intelligent subtests at the item level and to assess the sufficiency and adequacy of using standard methods for estimation of reliability and structural validity for these subtests. Methods. We analyze the data collected in intelligence testing of a large sample of respondents (11335 young adults). The respondents passed the KR-3 battery. In this study we examine in detail the structure of the subtests “Syllogisms” and “Analogies”. Specifically, we estimated the reliability of the scales by the Cronbach’s alpha coefficient, and the structure at the item level using the confirmatory factor analysis. Results and conclusions. Estimation of the reliability of the scales by Cronbach’s alpha coefficient showed importance of taking into account the time limitation, which is commonly used in intelligence tests. On the other hand, a detailed analysis of each subtest items made it possible to find out an additional factor which was not originally proposed in the factor structure. This is factor of higher-order abilities of abstract analysis, whilst the subtest originally aimed at estimation of the special abilities. Confirmatory factor analysis showed improvement of fit when this factor was added. The results allow to conclude that the researcher may miss the important properties of scales if not making a detailed analysis of testing procedures and the structure of subtest at the item level, and so may draw incomplete or inadequate conclusions about their psychometric properties

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