Factor analysis of the Montgomery-Åsberg depression rating scale

Depression ◽  
1996 ◽  
Vol 4 (1) ◽  
pp. 31-33 ◽  
Author(s):  
W. Edward Craighead ◽  
Donald D. Evans
Keyword(s):  
Factor Analysis ◽  
Rating Scale

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.

Factor Analysis of the Frontal Systems Behavior Scale (FrSBe)

Assessment ◽  
2003 ◽  
Vol 10 (1) ◽  
pp. 79-85 ◽  
Author(s):  
Julie C. Stout ◽  
Rebecca E. Ready ◽  
Janet Grace ◽  
Paul F. Malloy ◽  
Jane S. Paulsen
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Rating Scale ◽  
Executive Dysfunction ◽  
Behavior Rating Scale ◽  
Neurological Patients ◽  
Frontal Systems ◽  
Behavior Scale ◽  
Behavior Disturbances ◽  
Modest Level

The Frontal Systems Behavior Scale (FrSBe), formerly called the Frontal Lobe Personality Scale (FLOPS), is a brief behavior rating scale with demonstrated validity for the assessment of behavior disturbances associated with damage to the frontal-subcortical brain circuits. The authors report an exploratory principal factor analysis of the FrSBe–Family Version in a sample including 324 neurological patients and research participants, of which about 63% were diagnosed with neurodegenerative diseases (Huntington's, Parkinson's, and Alzheimer's diseases). The three-factor solution accounted for a modest level of variance (41%) and confirmed a factor structure consistent with the three subscales proposed on the theoretical basis of the frontal systems. Most items (83%) from the FrSBe subscales of Apathy, Disinhibition, and Executive Dysfunction loaded saliently on three corresponding factors. The FrSBe factor structure supports its utility for assessing both the severity of the three frontal syndromes in aggregate and separately.

Development of an Empathy Rating Scale for Young Children

Assessment ◽  
2021 ◽  
pp. 107319112110386
Author(s):  
Eva R. Kimonis ◽  
Natasha Jain ◽  
Bryan Neo ◽  
Georgette E. Fleming ◽  
Nancy Briggs
Keyword(s):  
Factor Analysis ◽  
Early Childhood ◽  
Young Children ◽  
Rating Scale ◽  
Parent Report ◽  
Personal Distress ◽  
Confirmatory Factor ◽  
Empathy Scale ◽  
Item Scores ◽  
Amazon's Mechanical Turk

Empathy is critical to young children’s socioemotional development and deficient levels characterize a severe and pervasive type of Conduct Disorder (i.e., with limited prosocial emotions). With the emergence of novel, targeted early interventions to treat this psychopathology, the critical limitations of existing parent-report empathy measures reveal their unsuitability for assessing empathy levels and outcomes in young children. The present study aimed to develop a reliable and comprehensive parent-rated empathy scale for young children. This was accomplished by first generating a large list of empathy items sourced from both preexisting empathy measures and from statements made by parents during a clinical interview about their young child’s empathy. Second, this item set was refined using exploratory factor analysis of item scores from parents of children aged 2 to 8 years (56.6% male), recruited online using Amazon’s Mechanical Turk. A five-factor solution provided the best fit to the data: Attention to Others’ Emotions, Personal Distress (i.e., Emotional Contagion/Affective Empathy), Personal Distress–Fictional Characters, Prosocial Behavior, and Sympathy. Total and subscale scores on the new “Measure of Empathy in Early Childhood” (MEEC) were internally consistent. Finally, this five-factor structure was tested using confirmatory factor analysis and model fit was adequate. With further research into the validity of MEEC scores, this new rater-based empathy measure for young children may hold promise for assessing empathy in early childhood and advancing research into the origins of empathy and empathy-related disorders.

Rasch Modeling and Confirmatory Factor Analysis of the Systemizing Quotient-Revised (SQ-R) Scale

2015 ◽  
Vol 18 ◽  
Author(s):  
Carrie Allison ◽  
Simon Baron-Cohen ◽  
Mark H Stone ◽  
Steven J Muncer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Rasch Model ◽  
Rating Scale ◽  
Autism Spectrum ◽  
Rasch Modeling ◽  
Confirmatory Factor ◽  
Scale Scores ◽  
Spectrum Condition ◽  
The Rasch Model

AbstractThis study assessed the dimensionality of the Systemizing Quotient-Revised (SQ-R), a measure of how strong a person's interest is in systems, using two statistical approaches: Rasch modeling and Confirmatory Factor Analysis (CFA). Participants included N = 675 with an autism spectrum condition (ASC), N = 1369 family members of people with ASC, and N = 2014 typical controls. Data were applied to the Rasch model (Rating Scale) using WINSTEPS. The data fit the Rasch model quite well lending support to the idea that systemizing could be seen as unidimensional. Reliability estimates were .99 for items and .92 for persons. A CFA parceling approach confirmed that a unidimensional model fit the data. There was, however, differential functioning by sex in some of these items. An abbreviated 44-item version of the scale, consisting of items without differential item functioning by sex was developed. This shorter scale also was tested from a Rasch perspective and confirmed through CFA. All measures showed differences on total scale scores between those participants with and without ASC (d = 0.71, p < .005), and between sexes (d = 0.53, p < .005). We conclude that the SQ-R is an appropriate measure of systemizing which can be measured along a single dimension.

scholarly journals Likert scale and change in range of response categories vs. the factors extraction in EFA model

2015 ◽  
Vol 1 (311) ◽  
Author(s):  
Piotr Tarka
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Rating Scale ◽  
Likert Scale ◽  
Optimal Number ◽  
Number Of Factors ◽  
Scale Experiment ◽  
Methodological Aspects ◽  
The Impact ◽  
Selection Of

Abstract: The objective article is the comparative analysis of Likert rating scale based on the following range of response categories, i.e. 5, 7, 9 and 11 in context of the appropriate process of factors extraction in exploratory factor analysis (EFA). The problem which is being addressed in article relates primarily to the methodological aspects, both in selection of the optimal number of response categories of the measured items (constituting the Likert scale) and identification of possible changes, differences or similarities associated (as a result of the impact of four types of scales) with extraction and determination the appropriate number of factors in EFA model.Keywords: Exploratory factor analysis, Likert scale, experiment research, marketing

scholarly journals The Development of a Behavior Patterns Rating Scale for Preservice Teachers

2016 ◽  
Vol 6 (1) ◽  
pp. 130 ◽  
Author(s):  
Nihat Caliskan ◽  
Okan Kuzu ◽  
Yasemin Kuzu
Keyword(s):  
Preservice Teachers ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Rating Scale ◽  
Behavior Patterns ◽  
Related Literature ◽  
Cronbach Alpha ◽  
Expert Opinions ◽  
Confirmatory Factor ◽  
Two Factors

The purpose of this study was to develop a rating scale that can be used to evaluate behavior patterns of the organization people pattern of preservice teachers (PSTs). By reviewing the related literature on people patterns, a preliminary scale of 38 items with a five-points likert type was prepared. The number of items was reduced to 29 after obtaining expert opinions and was administered to 620 PSTs. As the results of the exploratory and confirmatory factor analysis, unlike two factors: structurist and free spirits behavior patterns, in the theory, we obtained the final scale of 15 items consisting of three factors: planners, solution-oriented and prescriptive behavior patterns. The related Cronbach Alpha value was found to be .830 for all the items. We identified that behavior patterns rating scale of the organization people pattern can be confidently applied to evaluate behavior patterns. Moreover, in this study, we obtained a contradiction between practice and theory. Thus, we provided a new idea related to behavior patterns of the organization people pattern.

Sign in / Sign up

Export Citation Format

Share Document