scholarly journals Design and Validation of a Scale of Attitudes Towards Academic Feedback (SAAF)

2020 ◽  
Author(s):  
Carolina Fuentes-Henríquez ◽  
Mónica Tapia-Ladino ◽  
Marcelo Careaga Butter ◽  
Juan Molina-Farfán
Keyword(s):  
Academic Achievement ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Principal Components ◽  
Formative Evaluation ◽  
Attitude Scale ◽  
Negative Experience ◽  
Principal Components Method ◽  
Components Method

Feedback is a type of formative evaluation linked to student learning and academic achievement. However, it is not known how students perceive this process since there are no instruments to measure attitudes towards feedback. The objective of this work was to develop and validate an attitude scale towards academic feedback through an Exploratory Factor Analysis (EFA), using the principal components method and an internal consistency analysis using Cronbach's Alpha. The sample consisted of 274 students from 2015, 2016, and 2017 cohorts of pedagogy careers from five Chilean universities. The results showed the consolidation of the instrument and its final conformation in four components (Negative experience towards feedback, Effectiveness of feedback, Feedback as an opportunity, and Resistance towards feedback) with a total of 15 items, which allow measuring the students' attitude towards this written formative evaluation.

scholarly journals Application of exploratory factor analysis to assess fish consumption in a university community

2013 ◽  
Vol 33 (1) ◽  
pp. 99-106 ◽  
Author(s):  
Erika da Silva Maciel ◽  
Luciana Kimie Savay-da-Silva ◽  
Júlia Santos Vasconcelos ◽  
Juliana Antunes Galvão ◽  
Jaqueline Girnos Sonati ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Principal Components ◽  
Fish Consumption ◽  
Assessment Instrument ◽  
Multiple Choice Questions ◽  
Process Data ◽  
Good Internal Consistency ◽  
University Community

The objective of this research was to use the technique of Exploratory Factor Analysis (EFA) for the adequacy of a tool for the assessment of fish consumption and the characteristics involved in this process. Data were collected during a campaign to encourage fish consumption in Brazil with the voluntarily participation of members of a university community. An assessment instrument consisting of multiple-choice questions and a five-point Likert scale was designed and used to measure the importance of certain attributes that influence the choice and consumption of fish. This study sample was composed of of 224 individuals, the majority were women (65.6%). With regard to the frequency of fish consumption, 37.67% of the volunteers interviewed said they consume the product two or three times a month, and 29.6% once a week. The Exploratory Factor Analysis (EFA) was used to group the variables; the extraction was made using the principal components and the rotation using the Quartimax method. The results show clusters in two main constructs, quality and consumption with Cronbach Alpha coefficients of 0.75 and 0.69, respectively, indicating good internal consistency.

Self-Acceptance in Females as a Function of Academic Achievement

1976 ◽  
Vol 38 (3) ◽  
pp. 853-854 ◽  
Author(s):  
Connie Blake Pinson ◽  
Bernard Caffrey
Keyword(s):  
Academic Achievement ◽  
Sex Differences ◽  
Principal Components ◽  
Simple Structure ◽  
Assistant Professor ◽  
Acceptance Scale ◽  
Principal Components Method ◽  
Self Acceptance ◽  
Freshman Students ◽  
Components Method

Three background measures and scores on Berger's self-acceptance scale for 50 freshmen and 50 seniors (25 men, 25 women), and for 25 men and 29 women above the rank of assistant professor were factor analyzed by the principal components method. After rotation to simple structure by the varimax method, eight factors were identified. Faculty's scores showed little sex differences which were, however, marked for freshman students. Study of the relation of achievement and attitudes toward self is needed.

scholarly journals 545 - Exploratory factor analysis of the Rowland Universal Dementia Assessment Scale.

2021 ◽  
Vol 33 (S1) ◽  
pp. 87-88
Author(s):  
J. Antonio Garcia-Casal ◽  
Natacha Coelho de Cunha Guimarães ◽  
Sofía Díaz Mosquera ◽  
María Alvarez Ariza ◽  
Raimundo Mateos Álvarez
Keyword(s):  
Factor Analysis ◽  
Construct Validity ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Principal Components ◽  
Principal Component ◽  
Assessment Scale ◽  
Cognitive Test ◽  
Five Factors ◽  
Bartlett’S Test

Background:Rowland Universal Dementia Assessment Scale (RUDAS) is a brief cognitive test, appropriate for people with minimum completed level of education and sensitive to multicultural contexts. It could be a good instrument for cognitive impairment (CI) screening in Primary Health Care (PHC). It comprises the following areas: recent memory, body orientation, praxis, executive functions and language.Research Objective:The objective of this study is to assess the construct validity of RUDAS analysing its internal consistency and factorial structure.Method:Internal consistency will be calculated using ordinal Cronbach’s α, which reflects the average inter-item correlation score and, as such, will increase when correlations between the items increase. Exploratory Factor Analysis will be used to arrange the variables in domains using principal components extraction. The factorial analysis will include the extraction of five factors reflecting the neuropsychological areas assessed by the test. The result will be rotated under Varimax procedure to ease interpretation.Exploratory factor analysis will be used to arrange the variables in domains using principal components extraction. The analysis will include Kaiser–Meyer–Olkin measure of sampling adequacy and Bartlett’s test of sphericity. Estimations will be based based on Pearson’s correlations between indicators using a principal component analysis and later replicated with a tetrachoric correlation matrix. The variance in the tetrachoric model will be analysed to indentify convergent iterations and their explicative power.Preliminary results of the ongoing study:RUDAS is being administered to 321 participants older than 65 years, from seven PHC physicians’ consultations in O Grove Health Center. The data collection will be finished by August 2021 and in this poster we will present the final results of the exploratory factor analysis.Conclusions:We expect that the results of the exploratory factor analysis will replicate the results of previous studies of construct validity of the test in which explanatory factor weights were between 0.57 and 0.82, and all were above 40%. Confirming that RUDAS has a strong factor construct with high factor weights and variance ratio, and 6-item model is appropriate for measurement will support its recommendation as a valid screening instrument for PHC.

The Cognitive World Structure Game: A Factor Analysis

1986 ◽  
Vol 63 (1) ◽  
pp. 75-80 ◽  
Author(s):  
John Tivendell
Keyword(s):  
Factor Analysis ◽  
Principal Components ◽  
Social Psychological ◽  
Varimax Rotation ◽  
Principal Components Method ◽  
Components Method ◽  
Psychological Measure

The Cognitive World Structure Game, a social psychological measure of personality, was administered to 165 male and 219 female undergraduates. The valences attributed to the items were factor analysed using a principal components method with a varimax rotation. The resulting factor solutions are discussed, and further research is recommended.

The littering attitude scale (LAS)

2015 ◽  
Vol 26 (4) ◽  
pp. 552-565 ◽  
Author(s):  
Oluyinka Ojedokun
Keyword(s):  
Factor Analysis ◽  
Reliability Analysis ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Structural Equation ◽  
Attitude Scale ◽  
Self Report ◽  
Equation Modeling ◽  
Content Type ◽  
Item Scale

Purpose – Validated and reliable measure of littering attitude is lacking, therefore the purpose of this paper is to describe the development and psychometric evaluation of the littering attitude scale (LAS) as a new self-report measure to assess littering attitude. Design/methodology/approach – The internal consistency reliability and validity of LAS were investigated in a cross-sectional survey of 1,360 urban residents in a South-western State in Nigeria. Data were analysed using reliability analysis, exploratory factor analysis, and structural equation modeling. Findings – Item analysis and exploratory factor analysis suggested a 15-item scale with one general underlying factor. Reliability analysis score for the 15-item scale revealed a Cronbach α coefficient of 0.87. The scores of the LAS items indicated good internal consistency and construct validity consistent with the principles of scale development. The scale also showed a good fit in confirmatory factor analysis for the sample. Research limitations/implications – The aims of the study related to determining the validity, appropriateness, utility and feasibility of LAS were achieved. However, further studies should be done to validate the scale in other cultural settings. Practical implications – The findings suggested that LAS captures littering attitude and holds promise as a useful tool to conduct environmental audit by scholars, practitioners, and non-governmental organisations who are interested in the social and behavioural management of environmental quality. Originality/value – This is the first scale to measure littering attitude. The scale can be used by practitioners and researchers to conduct benchmarking studies on littering attitude.

Understanding Perception of Weight Stigma: Development and Validation of Perceived Weight Stigmatization Scale

2020 ◽  
Vol 34 (4) ◽  
pp. 869-897
Author(s):  
Atiqa Rafeh ◽  
Rubina Hanif
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
University Students ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Weight Stigma ◽  
Principal Component Factor Analysis ◽  
Confirmatory Factor ◽  
Perceived Weight ◽  
Weight Stigmatization

The present study was intended to develop a scale to measure perceived weight stigmatization among people with obesity. The study was conducted in five steps. In first step, three focus group discussions were conducted with female obese university students to get the first-hand information related to weight stigmatization. Step two involved four interviews which were conducted with male obese university students to collect detailed information about weight stigmatization experiences of men. Step three included content analysis of qualitative data for item generation. In step four, judge’s opinion was taken, and a committee approach was carried out to select the items for the initial form of the scale. Items for final form of the scale were selected through exploratory factor analysis and confirmatory factor analysis in step five. For exploratory factor analysis, 150 university students (men = 61, women = 89) were included in the sample, whereas, for confirmatory factor analysis, another group of students (men = 78, women = 72) participated in the study. Principal Component Factor Analysis revealed three meaningful structures including Self-Perception, Perceived Social Rejection, and Perceived Impact containing 43 items. Confirmatory factor analysis confirmed this factor structure and all 43 items possessed factor loadings greater than .40. Moreover, results indicated that perceived weight stigmatization had high internal consistency (Cronbach’s alpha = .96) with three subscales having internal consistency .95, .83, and .92 respectively. Therefore, Perceived Weight Stigmatization Scale turned out to be a reliable and valid instrument for measuring perception of weight stigma in adults with obesity.

Assessment of Water Body State in Rostov NPP Area Using the Principal Components Method

2018 ◽  
Vol 13 (4) ◽  
pp. 17-23
Author(s):  
E. A. Abidova ◽  
O. I. Bejsug ◽  
O. E. Draka ◽  
А. E. Dembickij ◽  
O. Yu. Pugachyova
Keyword(s):  
Principal Components ◽  
Water Body ◽  
Body State ◽  
Principal Components Method ◽  
Components Method

scholarly journals The development of a contextually appropriate measure of psychological distress in Sierra Leone

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Rebecca Horn ◽  
Kanykey Jailobaeva ◽  
Stella Arakelyan ◽  
Alastair Ager
Keyword(s):  
Mental Health ◽  
Factor Analysis ◽  
Psychological Distress ◽  
Sierra Leone ◽  
Exploratory Factor Analysis ◽  
Internal Consistency ◽  
Phase 1 ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Distress Scale

Abstract Background Studies of psychological distress in Sierra Leone have typically used measures which were developed for use in other contexts, and which often have not been adapted or validated for use in Sierra Leone. This has resulted in a lack of reliable information about the patterns of psychological distress within the population, which is a barrier to the development of effective and appropriate mental health services. The aim of the study was to develop a locally-appropriate measure of psychological distress for Sierra Leone. Methods The new measure consists of two instruments: the Sierra Leone Psychological Distress Scale (SLPDS) and a gendered measure of ability to carry out daily tasks—a Function scale—as an indication of the severity of distress. A three-phase mixed methods exploratory sequential study was conducted. Phase 1 was item generation and testing, leading to the development of a set of potential items for both instruments. Phase 2 was a small pilot study (N = 202) leading to the selection of the final set of items for both measures. Phase 3 was a validation phase where the SLPDS and the Function scale were administered with a larger sample of 904 respondents. Item analysis was used to assess the internal consistency of the scales, and Exploratory Factor Analysis to explore the properties of the SLPDS. Results Exploratory factor analysis using the principal axis factoring with an oblique rotation identified a three-factor structure for the 18-item SLPDS. Internal consistency for the SLPDS (Cronbach’s alpha = 0.89) and three subscales was good (Cronbach’s alpha > 0.73). The internal reliability of the male and female versions of the Function scale was also found to be acceptable (Cronbach’s alpha = 0.90 for the female scale and 0.79 for the male scale). Conclusions Together the SLPD and Function scales provide a locally-validated tool which will enable government bodies and local and international non-governmental organisations in Sierra Leone to assess mental health and psychosocial needs. This will support both effective service provision and the evaluation of initiatives designed to improve mental health and psychosocial wellbeing.

scholarly journals Clustering of objects with poorly formalizable features based on a neural network in the form of Kohonen layers

2018 ◽  
Vol 80 (3) ◽  
pp. 86-91 ◽  
Author(s):  
I. A. Kubasov ◽  
A. V. Melnikov ◽  
S. A. Maltsev ◽  
I. R. Narushev
Keyword(s):  
Principal Components ◽  
Deviant Behavior ◽  
Dimensional Space ◽  
Full Range ◽  
Point Of View ◽  
Multidimensional Space ◽  
Two Dimensional ◽  
Source Information ◽  
Principal Components Method ◽  
Components Method

Analysis of profiles of minors in social networks shows that teenagers indicate in them information that increases the level of their social desirability. Such information often does not correspond to the real behavior of the teenager. For a full analysis of the level of deviance of a minor need tools covering the full range of indicators. In contrast to the usual approach to clustering objects based on their Association in groups by the criterion of the minimum distance in multidimensional space when clustering features it is advisable to take into account their proximity to the methods of obtaining information and methods of processing of this information by the inspector for minors. In the first phase of the study is the clustering of signs of deviation, the second the determination of the weighting factors of indicator of the degree of deviance within each group of signs, the third uses the method of cluster-hierarchical approach to forming integral indicator of assessment of deviant behavior of minors. The indicator has a considerable flexibility of the correlation between groups of symptoms and partial characteristics through the introduction of appropriate sets of weighting coefficients. The conclusion is made about the preference of methods based on clustering of objects in the two-dimensional space of targets or accounts of the principal components method, as well as the need for additional analysis of the graphical picture of the relative location of objects. From the comparison of different approaches: 1) clustering on the basis of the generalized indicator of quality and the sign of reverse deviance, 2) clustering on two accounts of the principal components method; 3) clustering on all signs of examination, the following conclusions can be drawn. All methods properly allocate the objects to clusters. However, when you save the main totals (highlighting the best and worst features), the results are slightly different. This is due to the different volume and forms of presentation of the source information. The program assigns numbers of active neurons (clusters) arbitrarily, so in order to arrange the cluster numbers by some feature (for example, the quality of objects), you need to use additional graphical information. From a practical point of view, the first two methods are preferred, based on clustering objects in two-dimensional space, the method of principal components and the analysis of the graphical picture of the mutual location of objects.

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