scholarly journals Criteria for Teaching Performance in Psychology: Invariance According to Age, Sex, and Academic Stage of Peruvian Students

2021 ◽  
Vol 12 ◽  
Author(s):  
Aldo Bazán-Ramírez ◽  
Juan Carlos Pérez-Morán ◽  
Brando Bernal-Baldenebro
Keyword(s):  
Factor Model ◽  
Five Factor Model ◽  
Psychology Students ◽  
Age Difference ◽  
Teaching Performance ◽  
Factorial Structure ◽  
Higher Education Systems ◽  
Confirmatory Factor ◽  
The Mean ◽  
Multigroup Confirmatory Factor Analysis

The use of scales to assess the performance of professors from the students' standpoint is a generalized practice in higher education systems worldwide. The purpose of this study is to analyze the factorial structure and measure the invariance of the Scale of Teaching Performance of the Psychology Professor (EDDPsic) among groups according to gender, age, and academic stage. The sample of participants was composed of 316 Psychology students from the fourth and sixth semesters (basic cycles), and from the eighth and tenth semesters (disciplinary-professional cycles) of two renowned public universities in Lima, Peru. Two hundred and thirty-one participants were women (73%), and the mean age of students was 21.5 years old (SD = 2.37). The measurement invariance of the scale in the three study variables was underpinned by a multigroup confirmatory factor analysis (MGCFA) conducted using a five-factor model that showed the best fitness indices. It is concluded that significant differences in measuring teaching performance areas of the professor depend on the students' age difference and on their academic stage (to attend the disciplinary-professional cycles).

Construction and Validation of a Short Adjectives Checklist to Measure Big Five (SACBIF)

1996 ◽  
Vol 12 (1) ◽  
pp. 33-42 ◽  
Author(s):  
Marco Perugini ◽  
Luigi Leone
Keyword(s):  
Construct Validity ◽  
Psychometric Properties ◽  
Big Five ◽  
Factor Model ◽  
Five Factor Model ◽  
Selection Procedure ◽  
Factorial Structure ◽  
Personality Dimensions

The aim of this contribution is to present a new short adjective-based measure of the Five Factor Model (FFM) of personality, the Short Adjectives Checklist of BIg Five (SACBIF). We present the various steps of the construction and the validation of this instrument. First, 50 adjectives were selected with a selection procedure, the “Lining Up Technique” (LUT), specifically used to identify the best factorial markers of the FFM. Then, the factorial structure and the psychometric properties of the SACBIF were investigated. Finally, the SACBIF factorial structure was correlated with some main measures of the FFM to establish its construct validity and with some other personality dimensions to investigate how well these dimensions could be represented in the SACBIF factorial space.

Factorial Structure of the SCAS and Its Relationship With the SDQ

2013 ◽  
Vol 29 (1) ◽  
pp. 28-35 ◽  
Author(s):  
Daniela Di Riso ◽  
Daphne Chessa ◽  
Andrea Bobbio ◽  
Adriana Lis
Keyword(s):  
Age Differences ◽  
Convergent Validity ◽  
Factor Model ◽  
Community Sample ◽  
Anxiety Symptoms ◽  
Factorial Structure ◽  
Confirmatory Factor ◽  
Culturally Based ◽  
Positive Correlations ◽  
Italian Children

The factorial structure of the Spence Children’s Anxiety Scale (SCAS; Spence, 1997 ) was examined in a community sample of 1,397 Italian children from 8 to 10 years old. Sex and age differences as regards anxiety symptoms were also analyzed. The convergent validity of the SCAS was explored through correlations with the Strengths and Difficulties Questionnaire (SDQ; Goodman, 1997 ). The use of confirmatory factor analysis supported the six correlated factor model of the SCAS with only minor differences compared to the original work by Spence (1997 ), and it was therefore named SCAS-it. Modifications to the original SCAS were supported by methodologically, theoretically, and culturally based arguments. The internal consistency of the SCAS-it was acceptable. Females displayed significantly higher levels of anxiety symptoms than males, while age differences were nonsignificant. Positive correlations were found between the SCAS-it and selected subscales of the SDQ. The results support the SCAS model, with few exceptions that do not threaten the utility of Spence’s tool.

Old Wine in New Bottles? The Case of Self–Compassion and Neuroticism

2017 ◽  
Vol 31 (2) ◽  
pp. 160-169 ◽  
Author(s):  
Christian Kandler ◽  
Stefan Pfattheicher ◽  
Mattis Geiger ◽  
Johanna Hartung ◽  
Selina Weiss ◽  
...  
Keyword(s):  
Life Satisfaction ◽  
Factor Model ◽  
Five Factor Model ◽  
Confirmatory Factor Analyses ◽  
Personality Psychology ◽  
Self Compassion ◽  
Negative Factor ◽  
Confirmatory Factor ◽  
Compassion Scale ◽  
Positive Factor

Research on self–compassion, which is defined as being understanding and kind to oneself when confronted with negative experiences, has produced an impressive number of articles in recent years. This research shows that individual differences in self–compassion, as measured by the Self–Compassion Scale (SCS), are positively related to life satisfaction, health and social functioning. However, a critical and systematic test of self–compassion from a personality perspective has not yet conducted so far. In the present study ( N = 576), we (i) tested the factor structure of the SCS, (ii) examined the distinctiveness of self–compassion with regard to the five–factor model of personality, focusing on neuroticism, and (iii) tested the incremental predictive power of self–compassion beyond the five–factor model in the context of life satisfaction. Confirmatory factor analyses supported a two–factor plus six facets solution of self–compassion (a positive factor and a negative factor). Additional analyses revealed that the negative factor was redundant with facets of neuroticism ( rs ≥ .85), whereas the positive factor had some unique variance left. However, neither the negative factor nor the positive factor could explain substantial incremental variance in life satisfaction beyond neuroticism. Recommendations for how to use the SCS are provided, and the future of research on self–compassion is discussed. Copyright © 2017 European Association of Personality Psychology

scholarly journals The Healthy Personality from a Basic Trait Perspective

2018 ◽  
Author(s):  
Wiebke Bleidorn ◽  
Christopher James Hopwood ◽  
Robert A. Ackerman ◽  
Edward A. Witt ◽  
Christian Kandler ◽  
...  
Keyword(s):  
Factor Model ◽  
Rank Order ◽  
Five Factor Model ◽  
Psychology Students ◽  
Healthy Person ◽  
Comprehensive Description ◽  
Expert Rating ◽  
Two Samples ◽  
Using Data ◽  
Healthy Personality

We adopted an expert-rating approach to generate a consensus Five Factor Model (FFM) profile of the psychologically healthy person. In addition, we collected ratings from scholars with expertise in positive psychology and two samples of undergraduate psychology students to examine the agreement within and between different groups of raters. We then examined the reliability, heritability, rank-order stability, external validity, and normativeness of this expert-generated FFM profile of the healthy personality using data from seven different samples (N > 3,000). To do this, we computed a healthy FFM score for each participant by using intraclass q-correlation to match individual FFM profiles to the healthy personality prototype. Through these analyses, we aim to provide an initial but nonetheless comprehensive description of the nature and correlates of the healthy personality from a contemporary basic trait perspective.

The Factorial Structure of the Tower Test From the Delis–Kaplan Executive Function System: A Confirmatory Factor Analysis Study

Assessment ◽  
2020 ◽  
pp. 107319112096081
Author(s):  
Stavros Trakoshis ◽  
Myria Ioannou ◽  
Kostas Fanti
Keyword(s):  
Executive Function ◽  
Discriminant Validity ◽  
Factor Model ◽  
Function System ◽  
Factorial Structure ◽  
Confirmatory Factor Analyses ◽  
System A ◽  
Confirmatory Factor ◽  
Best Fitting ◽  
Multiple Metrics

The Tower of London (TOL) is a well-known, widely used task that captures executive function abilities. We examined the factorial structure and discriminant validity of three measures extracted from the Delis–Kaplan Executive Function System (D-KEFS) version of the TOL, namely the D-KEFS Tower Test, in 270 individuals from a publicly available release of the Enhanced Nathan Kline Institute—Rockland sample. Confirmatory factor analyses revealed a multidimensional three-factor solution of the measures extracted from the D-KEFS Tower Test; first-move-time, excess moves, and rule violations. This model was better than the unidimensional model, the two-factor model, the bifactor model and the model that included the total achievement scores. These results support the discriminant validity of the three latent factors, over their distinct relations to the total achievement score. The best fitting model was gender-invariant and age-variant. Overall, the multidimensionality of the measures extracted from the D-KEFS Tower Test reflects the need to use multiple metrics from this version of TOL to capture executive functions instead of a single score.

Initial Validation of a Math Progress Monitoring Measure for Prekindergarten Students

2020 ◽  
Vol 38 (8) ◽  
pp. 1014-1032
Author(s):  
Mike A. Assel ◽  
Janelle J. Montroy ◽  
Jeffrey M. Williams ◽  
Matt Foster ◽  
Susan H. Landry ◽  
...  
Keyword(s):  
Progress Monitoring ◽  
Factor Model ◽  
Five Factor Model ◽  
Internal Consistency Reliability ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Development Evaluation ◽  
Test Retest Reliability ◽  
Prekindergarten Students

Given the importance of math in today’s society, it is critical that children who are at risk for math difficulty are identified early. We developed and validated a prekindergarten math subtest (i.e., CIRCLE Progress Monitoring [CPM] Math Subtest). This teacher-completed measure evaluates domains considered important for later math development. Evaluation of validity was undertaken in a longitudinal sample of 383 children ( Mage = 4.9 years), and a follow-up sample of 3,691 children ( Mage = 4.4 years). The measure demonstrated adequate psychometric properties, including strong internal consistency reliability (α = .94) and test–retest reliability ( r = .78). Evaluation of concurrent and predictive validity demonstrated scores on the CPM Math Subtest were correlated with scores on other assessments at high levels ( rs from .55–.65). Exploratory and confirmatory factor analyses revealed that the subtest conforms to a well-defined five-factor model that parallels areas considered to be important in the math literature.

Confirmatory Factor Analysis of NEO-FFI-20 in a Portuguese Sample

2017 ◽  
Vol 41 (S1) ◽  
pp. S255-S255
Author(s):  
J.F. Dourado ◽  
A.T. Pereira ◽  
C. Marques ◽  
J. Azevedo ◽  
V. Nogueira ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Online Survey ◽  
Factor Model ◽  
Five Factor Model ◽  
Openness To Experience ◽  
Ongoing Research ◽  
Portuguese Version ◽  
Confirmatory Factor ◽  
On The Road

IntroductionThe Five-Factor Model organizes human personality traits under a comprehensive framework of five dimensions–neuroticism, extraversion, openness to experience, agreeableness and conscientiousness. The dimensions are empirical generalizations of enduring differences in behavioural, emotional and cognitive patterns between individuals. The Portuguese version of the NEO-Five Factor Inventory (NEO-FFI-20) is increasingly used as it is the shortest version to evaluate the “Big 5”.ObjectiveTo investigate the reliability and the validity of the Portuguese version of NEO-FFI-20-item (Bertoquini & Pais Ribeiro) in a Portuguese sample, using exploratory and confirmatory factor analysis (EFA and CFA).Methods747 participants [417 (55.8%) women; mean age = 42.13 ± 12.349 years] answered an online survey which included the NEO-FFI-20 and socio-demographic questions. The total sample was randomly divided in two sub-samples (sample A, n = 373; sample B, n = 374). Sample A was used to EFA and sample B was used to CFA.ResultsThe Portuguese version of NEO-FFI-20, excluding items 14 and 16, had an acceptable fit to the data (χ2/df = 2.28; TLI = .88; CFI = .90; RMSEA = .06; P = .059). The internal consistency analysis resulted in: Neuroticism, α = .68; Extraversion, α = .62; Openness to Experience, α = .74; Agreeableness, α = .70; and Conscientiousness, α = .74.ConclusionsThe NEO-FFI-20 can be used to reliably and validly evaluate the BIG FIVE in an ongoing research project on traffic psychology to better understand and respond to risky behaviours on the road.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals The Bereavement Guilt Scale

2015 ◽  
Vol 75 (2) ◽  
pp. 166-183 ◽  
Author(s):  
Jie Li ◽  
Magaret Stroebe ◽  
Cecilia L. W. Chan ◽  
Amy Y. M. Chow
Keyword(s):  
Factor Model ◽  
Five Factor Model ◽  
Psychometric Testing ◽  
Multiple Components ◽  
Self Forgiveness ◽  
Confirmatory Factor ◽  
Theoretical Predictions ◽  
Test Retest Reliability ◽  
Development And Validation ◽  
Depth Interviews

The rationale, development, and validation of the Bereavement Guilt Scale (BGS) are described in this article. The BGS was based on a theoretically developed, multidimensional conceptualization of guilt. Part 1 describes the generation of the item pool, derived from in-depth interviews, and review of the scientific literature. Part 2 details statistical analyses for further item selection (Sample 1, N = 273). Part 3 covers the psychometric properties of the emergent-BGS (Sample 2, N = 600, and Sample 3, N = 479). Confirmatory factor analysis indicated that a five-factor model fit the data best. Correlations of BGS scores with depression, anxiety, self-esteem, self-forgiveness, and mode of death were consistent with theoretical predictions, supporting the construct validity of the measure. The internal consistency and test–retest reliability were also supported. Thus, initial testing or examination suggests that the BGS is a valid tool to assess multiple components of bereavement guilt. Further psychometric testing across cultures is recommended.

scholarly journals The Analysis of Internal Consistency and Internal Structure of Questionnaires of Tolerance / Intolerance to Ambiguity: IAS, TAN, MSTAT-I and MSTAT-II

Reflexio ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 116-128
Author(s):  
M. V. Zlobina
Keyword(s):  
Factor Analysis ◽  
Internal Structure ◽  
Internal Consistency ◽  
Factor Model ◽  
Five Factor Model ◽  
Ambiguity Tolerance ◽  
Confirmatory Factor ◽  
Multiple Stimulus ◽  
High Internal Consistency ◽  
Intolerance Of Ambiguity

The article presents the results of internal consistency and internal structure analysis on a sampleof 184 subjects of the four most widely used questionnaires of tolerance / intolerance to ambiguity: the Intolerance to Ambiguity Scale (IAS) by S. Badner, Multiple Stimulus Types Ambiguity Tolerance Scale (MSTAT-I and MSTAT-II) D. McLane and the Tolerance-intolerance of ambiguity new questionnaire (TAN) by T. V. Kornilova. The IAS subscales showed low internal consistency, the Tolerance-intolerance of ambiguity new questionnaire scale showed satisfactory internal consistency and the MSTAT-I and MSTAT-II scales showed high internal consistency. Confirmatory factor analysis confirmed the five-factor model of MSTAT-I, the other models were not confirmed on our data. Exploratory factor analysis revealed unsatisfactory internal structure of the IAS, TAN, MSTAT-II. The results of the study are discussed.

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