PROFESIONALISME GURU SEKOLAH DASAR: KESIAPAN GURU SD PILOTTING MENGIMPLEMENTASIKAN KURIKULUM 2013

Elementary School Teachers ◽

Latent Variable ◽

Partial Correlation ◽

Factor Model ◽

School Teachers ◽

Confirmatory Factor ◽

Teacher Readiness

This research aims to confirming and measuring a factors model that supposing associated to elementary school teachers readiness in implementing the 2013th curriculum,as indicators of teacher profesionalism These factors are mind set transformation, curriculum concepts comprehension, ability to analizing subjects matter, and teaching design predicted their correlation to elementary school teachers readiness as a latent variable.This is a correlational research. The quantitative data analized by confirmatory factor analysis technique and partial correlation techniques. In the case of a finite population, 19 elementary school teachers are sampled as a total sampling. Confirmatory factor analysis results indicated that only 47 of 53 research questions are confirming for four factor model. Factor 1 explained 29.44%, factor 2 explained 20.32%, factor 3 explained 12.63%, and factor 4 explained 8.43% varians of teacher readiness. Totally 70,82% varians of teacher readiness as a latent variable can be explained by the model. Partial correlation analysis finding that a very significance correlation among four factor and elementary school teachers readiness: factor 1 (RX1Y,234 = 0,997: p<0,00 ), faktor 2 (RX2Y,134 = 0,995: p<0,00), faktor 3 (RX3Y,124 = 0.972: p<0,00), dan faktor 4 (RX4Y,123 = 0.983: p<0,00). This research confirming that four factor model as indicator variables are suitable and very significance correlated to elementary school teachers readiness in implementing the 2013th curriculum.

Confirming the Structural Validity of the My Class Inventory - Short form Revised

Professional School Counseling ◽

10.5330/1096-2409-19.1.92 ◽

2015 ◽

Vol 19 (1) ◽

pp. 1096-2409-19.1. ◽

Cited By ~ 1

Author(s):

Mariani Melissa ◽

Villares Elizabeth ◽

Christopher A. Sink ◽

Colvin Kimberly ◽

Summer Perhay Kuba

Keyword(s):

Factor Analysis ◽

Elementary School ◽

Elementary School Students ◽

Classroom Climate ◽

Factor Model ◽

Short Form ◽

Valid Measure ◽

School Students ◽

Researchers analyzed data collected from elementary school students (N = 893) to further establish the psychometric soundness of the My Class Inventory - Short Form Revised (MCI-SFR). A confirmatory factor analysis was conducted resulting in a good fit for a four-factor model, which corresponds to the instrument's four scales (Cohesion, Competitiveness, Friction, Satisfaction). Findings confirm the MCI-SFR as both a reliable and valid measure for assessing students’ perceptions of their classroom climate.

Can Variances of Latent Variables be Scaled in Such a Way That They Correspond to Eigenvalues?

International Journal of Statistics and Probability ◽

10.5539/ijsp.v6n6p35 ◽

2017 ◽

Vol 6 (6) ◽

pp. 35 ◽

Cited By ~ 1

Author(s):

Karl Schweizer ◽

Stefan Troche ◽

Siegbert Reiß

Keyword(s):

Factor Analysis ◽

Simulation Study ◽

Latent Variables ◽

Latent Variable ◽

Factor Model ◽

Estimation Method ◽

Factor Loadings ◽

Confirmatory Factor ◽

Theoretical Foundations

The paper reports an investigation of whether sums of squared factor loadings obtained in confirmatory factor analysis correspond to eigenvalues of exploratory factor analysis. The sum of squared factor loadings reflects the variance of the corresponding latent variable if the variance parameter of the confirmatory factor model is set equal to one. Hence, the computation of the sum implies a specific type of scaling of the variance. While the investigation of the theoretical foundations suggested the expected correspondence between sums of squared factor loadings and eigenvalues, the necessity of procedural specifications in the application, as for example the estimation method, revealed external influences on the outcome. A simulation study was conducted that demonstrated the possibility of exact correspondence if the same estimation method was applied. However, in the majority of realized specifications the estimates showed similar sizes but no correspondence.

Examining the Psychometric Properties of the Epistemic Belief Inventory (EBI)

Journal of Psychoeducational Assessment ◽

10.1177/0734282912449436 ◽

2012 ◽

Vol 31 (1) ◽

pp. 72-79 ◽

Cited By ~ 4

Author(s):

Timothy Teo

Keyword(s):

Factor Analysis ◽

Psychometric Properties ◽

Elementary School Teachers ◽

Principal Axis ◽

Factor Model ◽

Five Factor Model ◽

Total Sample ◽

School Teachers ◽

Epistemic Belief ◽

The psychometric properties of the scores on the Epistemic Belief Inventory were examined using an exploratory factor analysis (principal axis factor) and confirmatory factor analysis (CFA) on a total sample of 1,242 elementary school teachers. Results of the EFA supported the hypothesized five-factor model but the items had loaded on different factors. Overall, the results showed that the five-factor model did not fit the data and that the EBI was not interpretable with the sample in this study.

Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽

10.1027/1614-2241/a000033 ◽

2011 ◽

Vol 7 (4) ◽

pp. 157-164

Author(s):

Karl Schweizer

Keyword(s):

Factor Analysis ◽

Cognitive Processing ◽

Latent Variables ◽

Repeated Measures ◽

Latent Variable ◽

Model Fit ◽

Repeated Measures Data ◽

Confirmatory Factor ◽

And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

Behavioural and Cognitive Psychotherapy ◽

10.1017/s1352465820000983 ◽

2021 ◽

pp. 1-11

Author(s):

Sarah Beale ◽

Silia Vitoratou ◽

Sheena Liness

Keyword(s):

Factor Analysis ◽

Cognitive Therapy ◽

Exploratory Factor Analysis ◽

Factor Structure ◽

Factor Model ◽

Single Factor ◽

Behaviour Therapy ◽

Cognitive Behaviour ◽

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

Reasons for attending support groups and organizational preferences: A replication study using the North American Scleroderma Support Group Survey

Journal of Scleroderma and Related Disorders ◽

10.1177/2397198319849806 ◽

2019 ◽

Vol 4 (3) ◽

pp. 173-186 ◽

Cited By ~ 2

Author(s):

Mia Pépin ◽

Linda Kwakkenbos ◽

Marie-Eve Carrier ◽

Sandra Peláez ◽

Ghassan El-Baalbaki ◽

...

Keyword(s):

Social Support ◽

Factor Analysis ◽

Systemic Sclerosis ◽

North America ◽

Support Groups ◽

Support Group ◽

Factor Model ◽

The United States ◽

Peer-facilitated support groups are an important source for receiving disease-related information and support for people with systemic sclerosis (or scleroderma). A recent survey explored reasons for attending systemic sclerosis support groups in Europe and Australia and used exploratory factor analysis to group reasons for attendance into three main themes: (1) interpersonal and social support, (2) disease treatment and symptom management strategies, and (3) other aspects of living with systemic sclerosis. The objective of the present study was to replicate this study in a sample of patients from North America using confirmatory factor analysis. A 30-item survey was used to assess reasons for attendance and organizational preferences among systemic sclerosis patients in Canada and the United States. In total, 171 members completed the survey. In the confirmatory factor analysis, the three-factor model showed good fit to the data (χ2(399) = 646.0, p < 0.001, Tucker–Lewis index = 0.97, comparative fit index = 0.97, root mean square error approximation = 0.06). On average, respondents rated 22 (73%) of 30 items as “important” or “very important” reasons for attending support groups. Among organizational preferences, respondents emphasized the importance of the ability to share feelings and concerns, as well as educational aspects. Findings of our study suggest that reasons for attending support groups are similar for patients from Europe, Australia, and North America and that support groups should facilitate social support as well as disease education. These results inform the development of training programs for current and future systemic sclerosis support group leaders across the globe.

Latent structure of cognition in schizophrenia: a confirmatory factor analysis of the MATRICS Consensus Cognitive Battery (MCCB)

Psychological Medicine ◽

10.1017/s0033291715000641 ◽

2015 ◽

Vol 45 (12) ◽

pp. 2657-2666 ◽

Cited By ~ 18

Author(s):

A. McCleery ◽

M. F. Green ◽

G. S. Hellemann ◽

L. E. Baade ◽

J. M. Gold ◽

...

Keyword(s):

Working Memory ◽

Factor Analysis ◽

Factor Model ◽

Visual Learning ◽

Verbal Learning ◽

Speed Of Processing ◽

Confirmatory Factor ◽

Correlated Factors ◽

Cognitive Dimensions

BackgroundThe number of separable cognitive dimensions in schizophrenia has been debated. Guided by the extant factor analytic literature, the NIMH Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative selected seven cognitive domains relevant to treatment studies in schizophrenia: speed of processing, attention/vigilance, working memory, verbal learning, visual learning, reasoning and problem solving, and social cognition. These domains are assessed in the MATRICS Consensus Cognitive Battery (MCCB). The aim of this study was to conduct a confirmatory factor analysis (CFA) of the beta battery of the MCCB to compare the fit of the MATRICS consensus seven-domain model to other models in the current literature on cognition in schizophrenia.MethodUsing data from 281 schizophrenia outpatients, we compared the seven correlated factors model with alternative models. Specifically, we compared the 7-factor model to (a) a single-factor model, (b) a three correlated factors model including speed of processing, working memory, and general cognition, and (c) a hierarchical model in which seven first-order factors loaded onto a second-order general cognitive factor.ResultsMultiple fit indices indicated the seven correlated factors model was the best fit for the data and provided significant improvement in model fit beyond the comparison models.ConclusionsThese results support the assessment of these seven cognitive dimensions in clinical trials of interventions to improve cognition in schizophrenia. Because these cognitive factors are separable to some degree, it is plausible that specific interventions may have differential effects on the domains.

Validation of the Hedonic and Eudaimonic Motives for Activities-Revised Scale in Chinese Adults

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18083959 ◽

2021 ◽

Vol 18 (8) ◽

pp. 3959

Author(s):

Wenjie Li ◽

Linting Zhang ◽

Ning Jia ◽

Feng Kong

Keyword(s):

Factor Analysis ◽

Measurement Invariance ◽

Predictive Validity ◽

Factor Model ◽

Well Being ◽

Smartphone Addiction ◽

Chinese Adults ◽

Confirmatory Factor ◽

Chinese Undergraduates

The Hedonic and Eudaimonic Motives for Activities-Revised scale (HEMA-R) is one of the most extensively used instruments to assess how people pursue well-being. The main aims of the present research were to translate HEMA-R into Chinese and test its construct and predictive validity as well as measurement invariance across gender. In Study 1, we conducted confirmatory factor analysis with data containing 1090 Chinese undergraduates, and replicated the two-factor model which has been found in other studies. Furthermore, the measurement invariance across gender was supported throughout the multi-group confirmatory factor analysis. Study 2 replicated these results and further found the HEMA-R had satisfactory predictive validity in measures of well-being, social support and smartphone addiction. All the findings indicate that the HEMA-R is reliable and valid to measure hedonic and eudaimonic motives, and it could be applied generally across gender in Chinese adults.

Psychometric Properties of the Bern Illegitimate Tasks Scale – Spanish Version

Frontiers in Psychology ◽

10.3389/fpsyg.2021.593870 ◽

2021 ◽

Vol 12 ◽

Author(s):

Denisse Lizette Valdivieso Portilla ◽

Angélica Gonzalez Rosero ◽

Geovanny Alvarado-Villa ◽

Jorge Moncayo-Rizzo

Keyword(s):

Factor Analysis ◽

Informed Consent ◽

Psychometric Properties ◽

Exploratory Factor Analysis ◽

Work Stress ◽

Factor Model ◽

Spanish Version ◽

Confirmatory Factor ◽

Written Informed Consent

In recent years, a new factor for work stress has been studied along with stress as an offense to self-theory. Illegitimate tasks refer to assignments that are unnecessary or are not related to the employee’s role. Because of this, the Bern Illegitimate Tasks Scale was developed, which measures illegitimate tasks in terms of unreasonable tasks and unnecessary tasks. There are no studies in Latin America on illegitimate tasks, so the purpose of this research is to translate and validate the Bern Illegitimate Tasks Scale. The study was performed with a sample of nursing staff from a hospital in Guayaquil, Ecuador. Written informed consent was obtained from each of the participants. The reliability of the questionnaire was evaluated and its structural validity was verified by exploratory factor analysis and confirmatory factor analysis. The internal consistency of the whole scale, measured by Cronbach’s alpha, was 0.857. Moreover, the unnecessary and unreasonable subscales measure were 0.846 and 0.841, respectively. The exploratory factor analysis supported a two-factor model that explained 73.96% of the variance. Additionally, the confirmatory factor analysis showed good indexes of fit (GFI = 0.915, CFI = 0.955, TLI = 0.933, SRMR = 0.084, and RMSEA = 0.087). The Spanish version of the Bern Illegitimate Tasks Scale presents good psychometric properties and can be applied to nurses in the Ecuadorian population.

Maladaptive and Adaptive Cognitions About the Self and Others: Confirmatory Factor Analysis of the Brief Core Schemas Scales

Psychological Reports ◽

10.1177/00332941211063602 ◽

2022 ◽

pp. 003329412110636

Author(s):

Bruno Faustino

Keyword(s):

Factor Analysis ◽

Goodness Of Fit ◽

Factor Model ◽

Well Being ◽

The Self ◽

Fit Indices ◽

Portuguese Population ◽

Dysfunctional Cognitions ◽

The presence of dysfunctional cognitions about how individuals see themselves and others is a hallmark of psychopathology. The Brief Core Schemas Scale (BCSS) was developed to evaluate adaptive and dysfunctional beliefs about the self and others. This study describes the first psychometric analysis of the BCSS in the Portuguese population. Participants were recruited from community ( N = 320, Mage=27.31, DP = 12.75). Confirmatory factor analysis (CFA) was used to confirm the BCSS factorial structure. Four-factor model revealed moderate to adequate goodness-of-fit indices (χ2/df = 717.1, (246) p = .01; SRMR = .044; RMSEA = .077; CFI/TLI < .90). Negative views of the self and others correlated positively with early maladaptive schemas, distress, and symptomatology and correlated negatively with psychological well-being. An inversed correlational pattern was found with the positive views of the self and others. Despite the model's moderate adherence to the data, results suggest that the BCSS may be an asset in the assessment of dysfunctional and adaptive cognitions about the self and others. Further analysis is required to deepen the psychometric properties of the BCSS in the Portuguese population.