scholarly journals Exploring Factor Structures Of A Thinking Questionnaire

2020 ◽  
Vol 31 ◽  
pp. 35-53
Author(s):  
Hazlina Abdullah
Keyword(s):  
Principal Component Analysis ◽  
Monte Carlo ◽  
Factor Analysis ◽  
Undergraduate Students ◽  
Principal Component ◽  
Parallel Analysis ◽  
Factor Solution ◽  
Self Reflection ◽  
Five Factors ◽  
Strongly Agree

The purpose of this study was to investigate the construct validity of a thinking questionnaire through Factor Analysis over a Malaysian university students’ sample. The questionnaire is a 5 point Likert scale survey ranging from Strongly Agree, Agree, Neutral, Disagree and Strongly Disagree, intended to measure students’ self-reflection on their thinking upon their Invention Project. A total of 350 undergraduate students from various faculties participated in this study. Principal Component Analysis was used because the primary purpose was to identify and compute composite thinking scores for the factors underlying the Thinking questionnaire. The five factor solution, which explained 52.4% of the variance was chosen because of the ‘levelling off’ of eigenvalues on the scree plot after five factors, and was also confirmed by the Monte Carlo Parallel Analysis which indicated smaller values of the 5 factors compared to the eigenvalues displayed in the SPSS.

scholarly journals Metacognitive Rating Scale: A Study Applying a Korean Translation to Individuals with Schizophrenia

2021 ◽  
Vol 18 (13) ◽  
pp. 6853
Author(s):  
Mihwa Han ◽  
Kyunghee Lee ◽  
Mijung Kim ◽  
Youngjin Heo ◽  
Hyunseok Choi
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Mental Status ◽  
Rating Scale ◽  
Anger Expression ◽  
Principal Component ◽  
Negative Beliefs ◽  
Five Factors ◽  
Metacognitive Beliefs

Metacognition is a higher-level cognition of identifying one’s own mental status, beliefs, and intentions. This research comprised a survey of 184 people with schizophrenia to verify the reliability of the metacognitive rating scale (MCRS) with the revised and supplemented metacognitions questionnaire (MCQ) to measure the dysfunctional metacognitive beliefs of people with schizophrenia by adding the concepts of anger and anxiety. This study analyzed the data using principal component analysis and the varimax method for exploratory factor analysis. To examine the reliability of the extracted factors, Cronbach’s α was used. According to the results, reliability was ensured for five factors: positive beliefs about worry, negative beliefs about uncontrollability and danger of worry, cognitive confidence, need for control, and cognitive self-consciousness. The negative beliefs about uncontrollability and danger of worry and the need for control on anger expression, which were both added in this research, exhibited the highest correlation (r = 0.727). The results suggest that the MCRS is a reliable tool to measure the metacognition of people with schizophrenia.

scholarly journals Implementing Horn's Parallel Analysis for Principal Component Analysis and Factor Analysis

2009 ◽  
Vol 9 (2) ◽  
pp. 291-298 ◽  
Author(s):  
Alexis Dinno
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Common Factor ◽  
Principal Component ◽  
Component Analysis ◽  
Parallel Analysis ◽  
Common Factor Analysis

I present paran, an implementation of Horn's parallel analysis criteria for factor or component retention in common factor analysis or principal component analysis in Stata. The command permits classical parallel analysis and more recent extensions to it for the pca and factor commands. paran provides a needed extension to Stata's built-in factor- and component-retention criteria.

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.

Two types of squalor: findings from a factor analysis of the Environmental Cleanliness and Clutter Scale (ECCS)

2013 ◽  
Vol 25 (7) ◽  
pp. 1191-1198 ◽  
Author(s):  
John Snowdon ◽  
Graeme Halliday ◽  
Glenn E. Hunt
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Latent Variables ◽  
Principal Component ◽  
Living Conditions ◽  
Project Team ◽  
Factor Solution ◽  
Hoarding Disorder ◽  
Two Factors ◽  
The Mean

ABSTRACTBackground: Most people who collect and hoard, and then have difficulty discarding items, do not live in squalor, even though accumulation of hoarded items can make cleaning very difficult. Commonly, people living in squalor accumulate garbage, but relatively few fulfill proposed criteria for “hoarding disorder.” We examined the overlap between hoarding and squalor among people referred because of unacceptable living conditions.Methods: Ongoing collection of data by a Squalor Project team, including ratings on the Environmental Cleanliness and Clutter Scale (ECCS), allowed (1) description of characteristics of cases and (2) examination of ratings of uncleanliness, and of the effect of accumulation of items or material on access within dwellings. Principal component analysis was used to examine latent variables underlying the ECCS.Results: The mean age of the referred occupants (108 male, 95 female) was 61.9 years. The mean ECCS score in 186 rated cases was 18.5. Factor analysis of ECCS data showed a two-factor solution as the most plausible. Factor 1, comprising seven squalor items, accounted for 33.7% of the variance. Factor 2 comprised reduced accessibility and accumulation of items of little value (variance 17.6%). Accumulation of garbage loaded equally on the two factors. High levels of squalor and/or accumulation were recorded in 105 (56%) of the 186 dwellings. One-third scored high on accumulation/hoarding, while 38% scored high on squalor; 15% scored high on both squalor and accumulation. A quarter of those scoring high on squalor scored low on hoarding/accumulation.Conclusions: The ECCS is useful when describing whether referred cases show high levels of squalor, hoarding, or both.

The five‐factor personality model in applied settings

1994 ◽  
Vol 8 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Itzhak Montag ◽  
Joseph Levin
Keyword(s):  
Factor Analysis ◽  
Personality Inventory ◽  
The Other ◽  
Factor Solution ◽  
Male And Female ◽  
Neo Personality Inventory ◽  
Clear Cut ◽  
Five Factors ◽  
Male Subjects ◽  
Female Subjects

Two studies of the Revised NEO‐Personality Inventory (NEO‐PI‐R) conducted on two different applicant samples (one consisting of 539 female subjects and the other consisting of 396 male subjects) are reported. Factor analysis of the female sample yielded a five‐factor solution, highly congruent with the factors presented by Costa, McCrae and Dye (1991). Results of the male data were less clear‐cut, yielding four to five factors which were moderately congruent with the American data. The combined male and female sample showed again high congruence coefficients. Various minor deviations in the location of the facet variables are discussed.

Sign in / Sign up

Export Citation Format

Share Document