scholarly journals Nursing Motives for Helping Scale (N-MHS): Reliability and Validity

2006 ◽  
Vol 9 (1) ◽  
pp. 103-112 ◽  
Author(s):  
José Luis González Gutiérrez ◽  
Cecilia Peñacoba Puente ◽  
Ricardo Moreno Rodríguez ◽  
Almudena López López ◽  
Lilian Velasco Furlong
Keyword(s):  
Principal Component Analysis ◽  
Latent Variables ◽  
Reliability And Validity ◽  
Principal Component ◽  
Altruistic Motivation ◽  
Avoidance Motivation ◽  
Reward Seeking ◽  
Confirmatory Factor ◽  
Potential Benefits ◽  
Potential Risks

This paper presents the Nursing Motives for Helping Scale (N-MHS), an instrument designed for the evaluation of three of the four motives for helping derived from Batson's helping pathway theory. Dimensionality was analyzed by means of principal component analysis (n = 113), followed by confirmatory factor analysis. A 3-factor structure (corresponding to Batson's differentiation among altruistic motivation, reward-seeking motivation, and punishment-avoidance motivation, respectively), with 9 items distributed in three latent variables, revealed an acceptable fit to the data. Alpha values (.60 - .74) showed that internal consistency was acceptable for a newly developed subscale with a small number of items. Convergence validity was evaluated with correlations between N-MHS subscales scores and scores on the Professional Expectations Scale (Garrosa, Moreno-Jiménez, Rodríguez-Carvajal, & Morante, 2005). The three resulting subscales are a promising instrument for the evaluation of three nursing motives for helping that can contribute to reduce the potential risks and to improve the potential benefits both for the nurse and the patient.

scholarly journals Assessment of Personality from a New Perspective: Characterix Personality Types Inventory

2018 ◽  
Vol 6 (03) ◽  
Author(s):  
Olcay Yilmaz ◽  
Aykut Yildirim ◽  
Dilek Yucedag
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Reliability And Validity ◽  
Principal Component ◽  
Personality Types ◽  
Data Set ◽  
Confirmatory Factor ◽  
The World ◽  
New Perspective

Even though it is taught and used in many countries all over the world there is a lack of emprical research and psychometric assesment on Eneagram classification system of personality. This study aimed to contribute the this literature and present some evidence as well as developing a valid and reliable inventory. Research sample consisted of 21140 young and adults and data were randomly divided into two groups with an aim of conducting principal component analysis and confirmatory factor analysis for each data set. As a result the inventory formed with 72 items and it can be said that it has high item-factor loadings, and each dimension measures the characteristics intended to measure while explaining the variance at an acceptable level. Many of the findings indicated a good fit. Sufficient internal consistency values were obtained in all dimensions. All these findings indicate that the inventory has sufficient reliability and validity values.

The use of software packages of R factoextra and FactoMineR and their application in principal component analysis for authentication of oils

2020 ◽  
pp. 1
Author(s):  
Irnawati Irnawati ◽  
Florentinus Dika Octa Riswanto ◽  
Sugeng Riyanto ◽  
Sudibyo Martono ◽  
Abdul Rohman
Keyword(s):  
Principal Component Analysis ◽  
Human Life ◽  
Virgin Olive Oil ◽  
Principal Component ◽  
Extra Virgin Olive Oil ◽  
Component Analysis ◽  
R Software ◽  
Software Packages ◽  
Similar Chemical ◽  
Potential Benefits

Several oils have been reported as nutritional source and providing potential benefits for human life. Oil adulteration becomes major issue due to economical attempt to reduce the price of high cost oils. The employment of FTIR spectroscopy combined with Principal Component Analysis (PCA) technique can be applied in oils authentication study. Two of R software packages namely factoextra and FactoMineR were exploited to perform PCA for analysis sixteen various oils from market in Yogyakarta, Indonesia. The results showed that PCA model have been successfully generated using these two statistical packages. Individual plot, variable plot, and biplot were presented to visualize the PCA model. It was also proved that extra virgin olive oil (EVOO) has similar chemical characteristics to palm oil (PO) as reported in the previous study.

scholarly journals Exploring the Innovative Personality Characteristics among Teachers

2016 ◽  
Vol 9 (4) ◽  
pp. 1 ◽  
Author(s):  
Nooraini Othman
Keyword(s):  
Principal Component Analysis ◽  
Secondary School ◽  
Goodness Of Fit ◽  
Secondary School Teachers ◽  
Principal Component ◽  
Threshold Value ◽  
Personality Characteristics ◽  
Pca Analysis ◽  
School Teachers ◽  
Confirmatory Factor

<p class="apa">The aim of this study is to explore the characteristics of innovative personality among teachers in Malaysia. Samples of the research were randomly selected among secondary school teachers in three districts in Malaysia. Research instrument was self-developed by the researchers based on interviews carried out with some resource persons who are both experts and authoritative in their fields, as well as through literature review. A pilot study was carried out among 30 respondents. Cronbach’s Alpha value for the whole instrument is .952, indicating that it is reliable and suitable for actual data collection. A total of 484 sets of questionnaires were completed and gathered to form the data for this research. The data were then analysed using an advanced statistical method called Principal Component Analysis (PCA). Findings of the research concluded three constructs, namely, Leadership, Openness and Braveness. The constructs were labelled based on groups of items which were formed as a result of the PCA analysis. Meanwhile, Confirmatory Factor Analysis (CFA) was used to validate each dimension and to analyse the coherence of data based on model hypothesis. The findings of CFA indicated the goodness-of-fit values of the revised model, as follows: CMIN/DF=2.56; CFI=.935; and RMSEA=.057; with each figure above the threshold value. <strong></strong></p>

Reaction Monitoring in Explorative Organic Synthesis Using Fiber-Optical NIR Spectroscopy and Principal Component Analysis

1996 ◽  
Vol 50 (12) ◽  
pp. 1541-1544 ◽  
Author(s):  
Hans-René Bjørsvik
Keyword(s):  
Principal Component Analysis ◽  
Data Analysis ◽  
Latent Variables ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Principal Component ◽  
Component Analysis ◽  
Quantitative Information ◽  
Chemistry Laboratory ◽  
Reaction Profile

A method of combining spectroscopy and multivariate data analysis for obtaining quantitative information on how a reaction proceeds is presented. The method is an approach for the explorative synthetic organic laboratory rather than the analytical chemistry laboratory. The method implements near-infrared spectroscopy with an optical fiber transreflectance probe as instrumentation. The data analysis consists of decomposition of the spectral data, which are recorded during the course of a reaction by using principal component analysis to obtain latent variables, scores, and loading. From the scores and the corresponding reaction time, it is possible to obtain a reaction profile. This reaction profile can easily be recalculated to obtain the concentration profile over time. This calculation is based on only two quantitative measurements, which can be (1) measurement from the work-up of the reaction or (2) chromatographic analysis from two withdrawn samples during the reaction. The method is applied to the synthesis of 3-amino-propan-1,2-diol.

scholarly journals Measuring adolescent attitudes towards dementia: The revalidation and refinement of the A-ADS

2020 ◽  
pp. 135910532095347
Author(s):  
Nicolas Farina ◽  
Alys W Griffiths ◽  
Laura J Hughes ◽  
Sahdia Parveen
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Concurrent Validity ◽  
Principal Component ◽  
Model Fit ◽  
Single Factor ◽  
Confirmatory Factor ◽  
Adolescent Attitudes ◽  
Good Internal Consistency

The A-ADS is one the first validated measures of attitudes of dementia in adolescents, though further validation is needed. 630 adolescents were recruited from secondary schools in England. A Principal Component Analysis was completed ( n = 230) followed by a Confirmatory Factor Analysis ( n = 400). Reducing the A-ADS into a single factor, 13-item measure (Brief A-ADS) improved the model fit of the measure (χ2 = 182.75, DF = 65, CMIN/DF = 2.81, p < 0.001, CFI = 0.90, RMSEA = 0.07). The scale demonstrated good internal consistency, good predictive and concurrent validity. Building on the validation of the A-ADS, the Brief A-ADS is suitable to capture attitudes towards dementia amongst adolescents.

scholarly journals Active citizenship self-efficacy scale: A reliability and validity studyAktif yurttaşlık öz-yeterlik ölçeği: Bir geçerlik ve güvenirlik çalışması

2017 ◽  
Vol 14 (3) ◽  
pp. 2797
Author(s):  
Hakan Arslan ◽  
Kemal Dil ◽  
Ensar Çetin ◽  
Sedat Yazıcı
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Self Efficacy ◽  
Goodness Of Fit ◽  
Reliability And Validity ◽  
Principal Component ◽  
Special Importance ◽  
Causative Role ◽  
Active Citizenship ◽  
Confirmatory Factor

The aim of this study is to develop a scale that measures active citizenship self-efficacy. Because self-efficacy identifies a person’s perceived beliefs towards his or her capacity and ability to succeed a task, it has a motivational and causative role in one’s possible acts or behaviors. For his reason, measuring active citizenship behaviors through self-efficacy is of special importance for understanding citizenry behaviors. The study explores the development of the Active Citizenship Self-Efficacy Scale (ACSES) and its psychometric properties. Participants consist of 414 university students, of which 326 were female and 88 were male. The validity of the scale was tested via explanatory and confirmatory factor analysis. The results for explanatory factor analysis with principal component solution indicated three factor structure that explains 57,17 percent of the total variance. Since the chi square test indicated that our data was meaningful, we also conducted a confirmatory factor analysis and found the indices of goodness of fit as for RMSEA = .070, GFI = .90, CFI = .97, NFI =.95, RFI = .95, AGFI = .87, IFI = .97 and NNFI = .96. These results from both explanatory and confirmatory factor analysis indicated that scale obtains construct validity criterion. The Cronbach alphas’ of the ACSES for the total 18 items and subdomains were found .90, and .84, .82, and .86 respectively. Since the determination of citizens’ self-efficacy level can in part reflect the results of citizenship education and practices we believe that this scale has a potential use in citizenship studies.Extended English abstract is in the end of PDF (TURKISH) file. ÖzetBu çalışmanın amacı aktif yurttaşlık öz yeterliği ile ilgili bir ölçme aracı geliştirmektir. Öz-yeterlik kişinin bir işi başarmada kendi kendisine yönelik algı inancını yansıttığı için olası davranışlar üzerine nedensel ve motivasyonel bir etkiye sahiptir. Bu nedenle, aktif yurttaşlık davranışlarını öz-yeterlik aracılığıyla ölçmek yurttaşlık davranışlarını anlamada önemlidir. Çalışmada Aktif Yurttaşlık Öz-yeterlik Ölçeği (AYÖYÖ) geliştirilerek psikometrik özellikleri tanıtılmıştır. Ölçek, 18 soru ve üç boyuttan meydana gelen bir ölçme aracıdır. Araştırmanın katılımcıları 326’sı kadın; 88’i erkek olmak üzere 414 üniversite öğrencisidir.  Elde edilen verilere açıklayıcı ve doğrulayıcı faktör analizi yapılarak ölçeğin geçerliliği test edilmiştir. Açıklayıcı faktör analizinde ölçeğin üç faktörlü yapısının toplam varyansı açıklama oranının % 57,17 olduğu görülmüştür. Doğrulayıcı faktör analizinde ki-kare değeri anlamlı bulunmuştur; uyum indeksleri ise RMSEA = .070, GFI = .90, CFI = .97, NFI =.95, RFI = .95, AGFI = .87, IFI = .97 ve NNFI = .96 olarak tespit edilmiştir. Bu sonuçlar, ölçeğin yapı geçerliğinin sağladığını göstermektedir. AYÖYÖ’nin tüm maddeler için Cronbach alpha güvenirlik katsayısı .90, alt boyutlar için ise .84, .82. ve .86  olarak tespit edilmiştir. Yurttaşların öz-yeterlik düzeylerinin tespit edilmesi yurttaşlık eğitimi ve uygulamalarının sonuçlarını görme açısından önemli olduğundan bu ölçme aracının yurttaşlık araştırmalarında yaygın kullanım potansiyeline sahip olduğunu düşünüyoruz.

Psychometric Properties of a New Scale Measuring Neglect and Abuse of Older Adults in the Community: Implications for Social Activity

2020 ◽  
Vol 41 (2) ◽  
pp. 163-172
Author(s):  
Nestor Asiamah ◽  
Kyriakos Kouveliotis ◽  
Richard Eduafo ◽  
Richard Borkey
Keyword(s):  
Older Adults ◽  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Social Activity ◽  
Principal Component ◽  
Varimax Rotation ◽  
Factor Solution ◽  
Confirmatory Factor

Background Neglect and abuse of older adults are still prevalent in communities of developing countries, a situation that could discourage active and healthy behaviors in community-dwelling older adults. Methods This study used the cross-sectional and correlational approaches to construct a scale measuring neglect and abuse in older adults living in the community. The study population was all (3,211) older adults who were resident in Accra and were part of the database of the Social Security and National Insurance Trust. Participants were 515 individuals who met some inclusion criteria. Three steps were followed to determine an initial set of 11 items, and principal component analysis with varimax rotation and confirmatory factor analysis were used to select relevant items and assess the psychometric properties of the final scale. Results Principal component analysis with varimax rotation yielded a two-factor solution on all 11 items. The first factor extracted was “discrimination and exploitation,” which accounted for a variance of 53.9% out of total variance of 70.8%. The scale had a good internal consistency (Cronbach’s α = .90, factor loading ≥0.50). Confirmatory factor analysis confirmed the two-factor solution and produced satisfactory convergent and discriminant validity. Conclusion It is concluded that 11 items that make up 2 factors are potential indicators of neglect and abuse of older adults at the community level. Finally, neglect and abuse of older people in the community can contribute to an increase or decrease in social activity.

I will do it tomorrow! Exploring the dimensionality of procrastination in Poland

2016 ◽  
Vol 28 (1) ◽  
pp. 415-437 ◽  
Author(s):  
Aneta M Przepiorka ◽  
Agata Blachnio ◽  
Juan F Díaz-Morales
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Correlation Coefficients ◽  
Principal Component ◽  
International Debate ◽  
Total Correlation ◽  
Adult Participants ◽  
Confirmatory Factor ◽  
Decisional Procrastination ◽  
Best Fit

The aim of this study was to analyze the psychometric properties of the widely used general procrastination, decisional procrastination, and adult inventory of procrastination scales in both undergraduate and adult Polish populations. Polish versions of these scales were filled out by 390 student and 513 adult participants. Principal component analysis indicated one-factor structure for each scale. The pattern of loadings was congruent between student and adult samples. The item-total correlation coefficients were adequate in each sample, with higher Cronbach's alpha values in adults compared to students, who reported higher procrastination scores in general procrastination and decisional procrastination scales. Confirmatory factor analysis showed that the unidimensional model emerged as the best fit when the three scales were considered together. The results of the study suggest that Polish versions of the three procrastination scales are effective and reliable and contribute to the international debate about the dimensionality of procrastination.

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