The granting of forgiveness in an intergroup context: African and Asian social representations

2010 ◽  
Vol 49 (2) ◽  
pp. 195-214 ◽  
Author(s):  
Etienne Mullet ◽  
Stéphanie Nann ◽  
Joachim Kadima Kadiangandu ◽  
Félix Neto ◽  
María da Conceição Pinto
Keyword(s):  
Factor Model ◽  
Social Representations ◽  
International Community ◽  
Large Majority ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Large Sample ◽  
Confirmatory Factor ◽  
Intergroup Forgiveness

The model for representing intergroup forgiveness suggested by Neto, Pinto & Mullet (2007a) has been extended through the examination of data from a large sample (n = 1036) of Asian (Cambodians and East Timorese) and African (Angolans, Guineans and Mozambicans) adults who have been personally affected by long-term wars and conflicts in their area. Exploratory and confirmatory factor analyses showed that a nine-factor model could adequately fit the whole set of data. Overall, a large majority of the participants agreed with the view that forgiveness as an intergroup process was conceivable. For a majority of the participants: (a) the aim of the intergroup forgiveness process is reconciliation with the former offender; (b) the process does not need to be strictly conditional on adequate reparation and compensation; (c) it should be democratic — in other words, forgiveness should not be decided solely by politicians, traditional or religious authorities; (d) it belongs to the forgiver—forgiven dyad — in other words, interference from the international community should be minimal; (e) it should be public (and not a negotiation between members of the elite) — forgiveness should be announced to the whole community using broad international languages; and (f) it should be an all-encompassing process, that is, it should encompass all the members of the requesting group, all the members of the forgiving group and all the offences.

scholarly journals The test of self‐conscious affect: internal structure, differential scales and relationships with long‐term affects

2001 ◽  
Vol 15 (6) ◽  
pp. 449-463 ◽  
Author(s):  
Johnny R. J. Fontaine ◽  
Patrick Luyten ◽  
Paul De Boeck ◽  
Jozef Corveleyn
Keyword(s):  
Internal Structure ◽  
Factor Structure ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Self Evaluation ◽  
Confirmatory Factor ◽  
Study Support

Item analyses and confirmatory factor analyses on the Test of Self‐Conscious Affect (TOSCA), in a student (N = 723) and an adult (N = 891) sample, supported the theorized four factor structure of proneness to reparation, negative self‐evaluation, externalizing blame and unconcern. However, two‐fifth of the items did not empirically differentiate between two or more factors. Differential TOSCA scales, including only differentiating TOSCA items, were constructed and related to measures of long‐term affect, depression, anxiety, and anger. Both the pattern and size of correlations of the original and the differential TOSCA scales were almost identical. Results of this study support the interpretation of TOSCA guilt as a measure of a tendency to reparation associated with guilt and TOSCA shame as a measure of a tendency to global negative self‐evaluation. Copyright © 2001 John Wiley & Sons, Ltd.

Exploratory and Confirmatory Factor Analyses of the Asian American Racism-Related Stress Inventory

Assessment ◽  
2011 ◽  
Vol 19 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Matthew J. Miller ◽  
Jungeun Kim ◽  
Grace A. Chen ◽  
Alvin N. Alvarez
Keyword(s):  
Factor Analysis ◽  
Asian American ◽  
Factor Model ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Stress Inventory ◽  
Related Stress ◽  
Three Factor ◽  
American Racism

The authors conducted exploratory and confirmatory factor analyses of the Asian American Racism-Related Stress Inventory (AARRSI) to further examine the underlying factor structure in a total sample of 1,273 Asian American participants. In the first step of analysis, an exploratory factor analysis with 651 participants yielded a 13-item two-factor solution to the data. In the second step, a confirmatory factor analysis with 622 participants supported both the 13-item two-factor model and the original 29-item three-factor model in the cross-validation sample and generational and ethnicity analyses. The two-factor and three-factor models produced internal consistency estimates ranging from .81 to .95. In addition, the authors examined convergent and criterion related evidence for 13-item and 29-item versions of the AARRSI. Given its brief nature and generally good fit across generational status and ethnicity, the authors suggest that the 13-item AARRSI might be advantageous for research and assessment endeavors.

Measuring Psychological Well-Being in the Canadian Study of Health and Aging

2001 ◽  
Vol 13 (S1) ◽  
pp. 79-90 ◽  
Author(s):  
Philippa J. Clarke ◽  
Victor W. Marshall ◽  
Carol D. Ryff ◽  
Blair Wheaton
Keyword(s):  
Psychological Functioning ◽  
Factor Model ◽  
Well Being ◽  
Internal Consistency Reliability ◽  
Factor Analyses ◽  
Canadian Study ◽  
Confirmatory Factor Analyses ◽  
Multidimensional Measure ◽  
Positive Psychological Functioning ◽  
Confirmatory Factor

The Canadian Study of Health and Aging (CHSA) provided an opportunity to examine the positive aspects of aging. CHSA-2 included the 18-item Ryff multidimensional measure of well-being, which taps six core theoretical dimensions of positive psychological functioning. The measure was administered to 4,960 seniors without severe cognitive impairment or dementia at CSHA-2. Intercorrelations across scales were generally low. At the same time, the internal consistency reliability of each of the 6 subscales was not found to be high. Confirmatory factor analyses provide support for a 6-factor model, although some items demonstrate poor factor loadings. The well-being measures in CSHA-2 provide an opportunity to examine broad, descriptive patterns of well-being in Canadian seniors.

Psychopathy in Female Offenders

2002 ◽  
Vol 29 (6) ◽  
pp. 692-704 ◽  
Author(s):  
Rebecca L. Jackson ◽  
Richard Rogers ◽  
Craig S. Neumann ◽  
Paul L. Lambert
Keyword(s):  
Criminal Behavior ◽  
Factor Model ◽  
Past Research ◽  
Female Inmates ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Forensic Patients ◽  
Male Offenders ◽  
Confirmatory Factor ◽  
Three Factor

Psychopathy is an important clinical construct in explaining criminal behavior, determining the likelihood of treatment response, and evaluating risk assessment. The majority of past research has focused on male offenders or male forensic patients. Psychopathy in females is relatively unexplored. The current study was designed to further investigate the underlying dimensions of psychopathy in females. Utilizing a sample of 119 female inmates from a large metropolitan area jail, a series of confirmatory factor analyses was undertaken. Previous research and clinical tradition suggest the use of a two-factor conceptualization of psychopathy. More recent research suggests that a three-factor model may better capture the underlying dimensions of psychopathy. Two-factor models of psychopathy were not confirmed. However, the three-factor model reproduced the data extremely well. Clinical and research implications of this finding are addressed.

scholarly journals SOLOMON: a method for splitting a sample into equivalent subsamples in factor analysis

2021 ◽  
Author(s):  
Urbano Lorenzo-Seva
Keyword(s):  
Factor Analysis ◽  
Multivariate Regression ◽  
Factor Model ◽  
Multivariate Regression Analysis ◽  
Splitting Methods ◽  
Simulation Studies ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Analysis Process ◽  
Confirmatory Factor

AbstractNowadays, exploratory and confirmatory factor analyses are two important consecutive steps in an overall analysis process. The overall analysis should start with an exploratory factor analysis that explores the data and establishes a hypothesis for the factor model in the population. Then, the analysis process should be continued with a confirmatory factor analysis to assess whether the hypothesis proposed in the exploratory step is plausible in the population. To carry out the analysis, researchers usually collect a single sample, and then split it into two halves. As no specific splitting methods have been proposed to date in the context of factor analysis, researchers use a random split approach. In this paper we propose a method to split samples into equivalent subsamples similar to one that has already been proposed in the context of multivariate regression analysis. The method was tested in simulation studies and in real datasets.

Further Psychometric Evaluation of the Fear Questionnaire: Responses of College Students

1993 ◽  
Vol 73 (3_suppl) ◽  
pp. 1259-1266 ◽  
Author(s):  
Augustine Osman ◽  
Francisco X. Barrios ◽  
Joylene R. Osman ◽  
Kathy Markway
Keyword(s):  
Factor Model ◽  
Psychometric Evaluation ◽  
Brief Symptom Inventory ◽  
Fit Indices ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
General Psychological Distress ◽  
Components Analysis ◽  
Using Data

This study presents evidence for the factor structure and psychometric properties of the Fear Questionnaire for college undergraduates. Fit indices of the 4-and 5-factor models identified previously were inadequate. Exploratory principal components analysis identified three factors, using data from Sample 1 ( n = 208). LISREL confirmatory factor analyses supported generalizability of the three-factor model to Sample 2 ( n = 200). Satisfactory reliability coefficients were obtained for the factor-derived subscales. Significant gender differences were obtained on 4 of the 15 items but not on the factor subscales. Finally, we examined the correlations between scores on the scale and on other measures of social anxiety, social desirability, and general psychological distress of the Brief Symptom Inventory. Present results suggest that the Fear Questionnaire is a valuable research instrument for a nonclinical sample.

scholarly journals Factor structure of Raven's Coloured Progressive Matrices

Psico-USF ◽  
2016 ◽  
Vol 21 (2) ◽  
pp. 259-272 ◽  
Author(s):  
Monalisa Muniz ◽  
Cristiano Mauro Assis Gomes ◽  
Sonia Regina Pasian
Keyword(s):  
Standard Deviation ◽  
Factor Structure ◽  
Factor Model ◽  
Specific Factor ◽  
General Factor ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Specific Factors ◽  
Three Factor

Abstract This study's objective was to verify the factor structure of Raven's Coloured Progressive Matrices (CPM). The database used included the responses of 1,279 children, 50.2% of which were males with an average age of 8.48 years old and a standard deviation of 1.49 yrs. Confirmatory factor analyses were run to test seven models based on CPM theory and on a Brazilian study addressing the test's structure. The results did not confirm the CPM theoretical proposition concerning the scales but indicated that the test can be interpreted by one general factor and one specific factor or one general factor and three specific factors; both are bi-dimensional models. The three-factor model is, however, more interpretable, suggesting that the factors can be used as a means of screening children's cognitive developmental stage.

scholarly journals Binge-Watching: Development and Validation of the Binge-Watching Addiction Questionnaire

2021 ◽  
Vol 11 (2) ◽  
pp. 27
Author(s):  
Giuseppe Forte ◽  
Francesca Favieri ◽  
Domenico Tedeschi ◽  
Maria Casagrande
Keyword(s):  
Online Survey ◽  
Factor Model ◽  
Addictive Behavior ◽  
Self Report ◽  
Factor Analyses ◽  
Single Session ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Development And Validation ◽  
Multiple Episodes

The approach to the vision of TV series has deeply changed in the last years, and watching multiple episodes of TV content in a single session becomes a popular viewing pattern referred as binge-watching. Early studies defined binge-watching as a potentially addictive behavior showing characteristics similar to other behavioral addictions, such as loss of control and pleasure anticipation. This study aims to validate a short self-report questionnaire focused on assessing binge-watching behavior and determining whether it shows characteristics similar to addictive behavior, the Binge-Watching Addiction Questionnaire (BWAQ). An online survey was adopted to administer the questionnaire in the general population (N = 1277). Exploratory and confirmatory factor analyses assessed both the validity and the structure of the scale in two independent samples. The statistical analyses confirmed a four-factor model (i.e., “Craving”, “Dependency”, “Anticipation”, “Avoidance”) of the BWAQ with good psychometric properties. The BWAQ can differentiate between people who adopt maladaptive watching activities from those who use TV-series as leisure and entertainment activities. Therefore, this questionnaire may enable researchers to improve this emerging field of research significantly.

scholarly journals Can Ecological Momentary Assessments Be Used as Daily Markers of Personality Traits?

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 250-250
Author(s):  
Andreas Neubauer ◽  
Nicholas Eaton ◽  
Sean Clouston ◽  
Eileen Graham ◽  
Daniel Mroczek ◽  
...  
Keyword(s):  
Personality Traits ◽  
Personality Change ◽  
Model Fit ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Aging Study ◽  
Ecological Momentary ◽  
Momentary Assessment

Abstract This study hypothesized that select ecological momentary assessment (EMA) survey items are sensitive to day-to-day fluctuations in personality traits Extraversion (E) and Neuroticism (N). As part of the Einstein Aging Study, 312 older adults (Mage=76.96 years, SD=4.85 years, range=70-90 years) completed up to 5 EMA surveys per day for 16 days and a Big Five trait personality measure. Parallel two-factor multilevel confirmatory factor analyses were conducted for E (Daily-E; Trait-E) and N (Daily-N; Trait-N). The E model showed good fit (CFI=.95; TLI=.94; RMSEA=.02) and a significant correlation of .20 between Daily-E and Trait-E factors. The N model showed poor fit (CFI=.68; TLI=.61; RMSEA=.06). Results suggest EMA items can be used as daily markers of Extraversion, yet results are unclear for Neuroticism due to poor model fit. Daily markers of Extraversion can be used to detect fluctuations in personality traits across days that may predict long-term personality change.

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