scholarly journals Dominance of General versus Specific Aspects of Wellbeing on the Student Subjective Wellbeing Questionnaire

2021 ◽  
Author(s):  
Anthony J. Roberson ◽  
Tyler L Renshaw
Keyword(s):  
Factor Structure ◽  
Subjective Wellbeing ◽  
School Connectedness ◽  
General Factor ◽  
Factor Scores ◽  
Educational Purpose ◽  
Confirmatory Factor Analyses ◽  
Student Wellbeing ◽  
Reliability Indices ◽  
Model Based

The Student Subjective Wellbeing Questionnaire (SSWQ) is a 16-item measure of school-specific subjective wellbeing. Previous studies have found evidence supporting the interpretation of scores as consisting of four domain-specific factors (i.e., joy of learning, academic efficacy, educational purpose, school connectedness) along with a domain-general factor (i.e., general student wellbeing). We extended previous work to scrutinize the SSWQ factor structure and score reliability by analyzing responses from a large sample (N = 1,020) of adolescents in grades 9-12. Using confirmatory factor analyses, we reevaluated the previously supported SSWQ structures and tested the tenability of alternate bifactor models. Additionally, we tested if scores derived from simple summing of SSWQ item ratings were practically equivalent to model-derived factor scores. Results provided partial support for the replication of data-model fit for SSWQ correlated-factors and higher-order models. Model convergence problems were noted when fitting all 16 items to a bifactor structure with the educational purpose items identified as the key source of misfit and dropped. The revised 12-item bifactor model showed strong fit and was retained as the new preferred SSWQ structure. Reliability indices for the general student wellbeing score were consistently strong yet reliability of subscale scores was significantly weaker. Correlation between the domain-general sum scores of the 12- and 16-item versions was very strong (r = .98), suggesting significant overlapping variance. The correlation between the 12-item sum score and model-based general factor score was also very strong (r = .97) but did not meet our threshold for practical equivalence. We recommend future researchers reevaluate the SSWQ item content and factor structure and use model-based factor scores for analyses when operating in a latent factor framework. Ultimately, we emphasize interpreting the SSWQ general score over the subscale scores to parse individual differences or make decisions regarding intervention allocation.

scholarly journals ADHD in DSM-5: a field trial in a large, representative sample of 18- to 19-year-old adults

2014 ◽  
Vol 45 (2) ◽  
pp. 361-373 ◽  
Author(s):  
B. Matte ◽  
L. Anselmi ◽  
G. A. Salum ◽  
C. Kieling ◽  
H. Gonçalves ◽  
...  
Keyword(s):  
Young Adults ◽  
Factor Structure ◽  
Field Trials ◽  
Birth Cohort Study ◽  
General Factor ◽  
Confirmatory Factor Analyses ◽  
Dsm 5 ◽  
Clinical Impairment ◽  
Dsm Iv ◽  
Best Fit

BackgroundThe DSM criteria for adult attention-deficit/hyperactivity disorder (ADHD) have not been tested in American Psychiatric Association (APA) field trials for either DSM-IV or DSM-5. This study aimed to assess: (a) the prevalence of ADHD according to DSM-5 criteria; (b) the factor solution that provides the best fit for ADHD symptoms; (c) the symptoms with the highest predictive value for clinical impairment; and (d) the best symptomatic threshold for each ADHD dimension (inattention and hyperactivity/impulsivity).MethodTrained psychologists evaluated 4000 young adults from the 1993 Pelotas Birth Cohort Study with an instrument covering all DSM-5 ADHD criteria. A series of confirmatory factor analyses (CFAs) tested the best factor structure. Complex logistic regressions assessed differential contributions of each symptom to clinical impairment. Receiver-operating characteristic (ROC) analyses tested which would be the best symptomatic cut-off in the number of symptoms for predicting impairment.ResultsThe prevalence of DSM-5 ADHD was 3.55% [95% confidence interval (CI) 2.98–4.12]. The estimated prevalence of DSM-IV ADHD was 2.8%. CFA revealed that a bifactor model with a single general factor and two specific factors provided the best fit for DSM-5 symptoms. Inattentive symptoms continued to be the most important predictors of impairment in adults. The best cut-offs were five symptoms of inattention and four symptoms of hyperactivity/impulsivity.ConclusionsOur results, combined with previous findings, suggest a 27% increase in the expected prevalence of ADHD among young adults, comparing DSM-IV to DSM-5 criteria. The DSM-5 symptomatic organization derived a similar factor structure for adults as DSM-IV symptoms. Data using DSM-5 criteria support lowering the symptomatic threshold for diagnosing ADHD in adults.

scholarly journals The Uniform Dataset 3.0 Neuropsychological Battery: Factor Structure, Invariance Testing, and Demographically Adjusted Factor Score Calculation

2020 ◽  
Vol 26 (6) ◽  
pp. 576-586 ◽  
Author(s):  
Andrew M. Kiselica ◽  
Troy A. Webber ◽  
Jared F. Benge
Keyword(s):  
Older Adults ◽  
Factor Structure ◽  
Cognitive Abilities ◽  
Factor Score ◽  
Higher Order ◽  
Factor Scores ◽  
Neuropsychological Battery ◽  
Confirmatory Factor Analyses ◽  
Invariance Testing ◽  
Metric Invariance

AbstractObjective:The goals of this study were to (1) specify the factor structure of the Uniform Dataset 3.0 neuropsychological battery (UDS3NB) in cognitively unimpaired older adults, (2) establish measurement invariance for this model, and (3) create a normative calculator for factor scores.Methods:Data from 2520 cognitively intact older adults were submitted to confirmatory factor analyses and invariance testing across sex, age, and education. Additionally, a subsample of this dataset was used to examine invariance over time using 1-year follow-up data (n = 1061). With the establishment of metric invariance of the UDS3NB measures, factor scores could be extracted uniformly for the entire normative sample. Finally, a calculator was created for deriving demographically adjusted factor scores.Results:A higher order model of cognition yielded the best fit to the data χ2(47) = 385.18, p < .001, comparative fit index = .962, Tucker-Lewis Index = .947, root mean square error of approximation = .054, and standardized root mean residual = .036. This model included a higher order general cognitive abilities factor, as well as lower order processing speed/executive, visual, attention, language, and memory factors. Age, sex, and education were significantly associated with factor score performance, evidencing a need for demographic correction when interpreting factor scores. A user-friendly Excel calculator was created to accomplish this goal and is available in the online supplementary materials.Conclusions:The UDS3NB is best characterized by a higher order factor structure. Factor scores demonstrate at least metric invariance across time and demographic groups. Methods for calculating these factors scores are provided.

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.

Psychometric properties of the Danish student well-being questionnaire assessed in >250,000 student responders

2018 ◽  
Vol 46 (8) ◽  
pp. 877-885 ◽  
Author(s):  
Janni Niclasen ◽  
Maria Keilow ◽  
Carsten Obel
Keyword(s):  
Classroom Management ◽  
Psychometric Properties ◽  
Factor Structure ◽  
School Connectedness ◽  
Well Being ◽  
Descriptive Statistics ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses

Background: Well-being is considered a prerequisite for learning. The Danish Ministry of Education initiated the development of a new 40-item student well-being questionnaire in 2014 to monitor well-being among all Danish public school students on a yearly basis. The aim of this study was to investigate the basic psychometric properties of this questionnaire. Methods: We used the data from the 2015 Danish student well-being survey for 268,357 students in grades 4–9 (about 85% of the study population). Descriptive statistics, exploratory factor analyses, confirmatory factor analyses and Cronbach’s α reliability measures were used in the analyses. Results: The factor analyses did not unambiguously support one particular factor structure. However, based on the basic descriptive statistics, exploratory factor analyses, confirmatory factor analyses, the semantics of the individual items and Cronbach’s α, we propose a four-factor structure including 27 of the 40 items originally proposed. The four scales measure school connectedness, learning self-efficacy, learning environment and classroom management. Two bullying items and two psychosomatic items should be considered separately, leaving 31 items in the questionnaire. Conclusions: The proposed four-factor structure addresses central aspects of well-being, which, if used constructively, may support public schools’ work to increase levels of student well-being.

Psychometric properties of the five-item version of the Mindful Awareness Attention Scale (MAAS) in Norwegian adolescents

2017 ◽  
Vol 45 (4) ◽  
pp. 373-380 ◽  
Author(s):  
Otto R.F. Smith ◽  
Ole Melkevik ◽  
Oddrun Samdal ◽  
Torill M. Larsen ◽  
Ellen Haug
Keyword(s):  
Measurement Invariance ◽  
Root Mean Square ◽  
Factor Structure ◽  
Concurrent Validity ◽  
Mean Square ◽  
Cross Sectional ◽  
Confirmatory Factor Analyses ◽  
Root Mean Square Residual ◽  
Model Based ◽  
Acceptable Model

Objectives: The aim of the present study was to examine the factor structure, model-based reliability, measurement invariance and concurrent validity of the five-item version of the Mindfulness Attention Awareness Scale (MAAS) in Norwegian adolescents. Methods: An initial pilot study was carried out using a sample of 77 fifteen year olds. For the main analyses, a sample of 2140 Norwegian adolescents was used who participated in the cross-sectional Health Behaviour in School-Aged Children (HBSC) study. All participants were asked to complete a questionnaire. Results: Confirmatory factor analyses found support for the one-factor structure of the five-item version of the MAAS. Acceptable model fit was found in both the pilot sample (χ2=6.48, df=5, p=0.26; root mean square error of approximation [RMSEA]=0.06; comparative fit index [CFI]=0.99; standardised root mean square residual [SRMR]=0.03) and the HBSC sample (χ2=27.1, df=4, p<0.001; RMSEA=0.05; CFI=0.99; SRMR=0.01). The model-based reliability of the scale was good (ω=0.84 and ω=0.81, respectively). Scalar measurement invariance was established for sex, age and material affluence. Finally, the five-item MAAS displayed concurrent validity through moderate negative associations with health complaints ( r=−0.44; p<0.001) and school stress ( b=−0.44, p<0.001), and a positive moderate correlation with life satisfaction ( r=0.26; p<0.001). Conclusions: The five-item version of the MAAS is an adequate measure of mindfulness in Norwegian adolescents. Due to the brief nature of the scale, it can easily be included in epidemiological and clinical studies with an interest for trait mindfulness. The five-item MAAS may therefore have great potential to facilitate more knowledge about the role of mindfulness in adolescent health.

Examining the Dimensionality, Reliability, and Invariance of the Depression, Anxiety, and Stress Scale–21 (DASS-21) Across Eight Countries

Assessment ◽  
2020 ◽  
pp. 107319111988744 ◽  
Author(s):  
Cristian Zanon ◽  
Rachel E. Brenner ◽  
Makilim N. Baptista ◽  
David L. Vogel ◽  
Mark Rubin ◽  
...  
Keyword(s):  
United States ◽  
Hong Kong ◽  
United Arab Emirates ◽  
The United States ◽  
Bifactor Model ◽  
General Factor ◽  
Confirmatory Factor Analyses ◽  
Stress Scale ◽  
Model Based ◽  
Correlated Factors

This study evaluated the dimensionality, invariance, and reliability of the Depression, Anxiety, and Stress Scale–21 (DASS-21) within and across Brazil, Canada, Hong Kong, Romania, Taiwan, Turkey, United Arab Emirates, and the United States ( N = 2,580) in college student samples. We used confirmatory factor analyses to compare the fit of four different factor structures of the DASS-21: a unidimensional model, a three-correlated-factors model, a higher order model, and a bifactor model. The bifactor model, with three specific factors (depression, anxiety, and stress) and one general factor (general distress), presented the best fit within each country. We also calculated ancillary bifactor indices of model-based dimensionality of the DASS-21 and model-based reliability to further examine the validity of the composite total and subscale scores and the use of unidimensional modeling. Results suggested the DASS-21 can be used as a unidimensional scale. Finally, measurement invariance of the best fitting model was tested across countries indicating configural invariance. The traditional three-correlated-factors model presented scalar invariance across Canada, Hong Kong, Romania, Taiwan, and the United States. Overall, these analyses indicate that the DASS-21 would best be used as a general score of distress rather than three separate factors of depression, anxiety, and stress, in the countries studied.

Assessing Teacher Wellness: Confirmatory Factor Analysis and Measurement Invariance of the Teacher Subjective Wellbeing Questionnaire

2017 ◽  
Vol 36 (3) ◽  
pp. 219-232 ◽  
Author(s):  
Ariel Mankin ◽  
Nathaniel von der Embse ◽  
Tyler L. Renshaw ◽  
Shannon Ryan
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Measurement Invariance ◽  
Factor Structure ◽  
Psychological Functioning ◽  
Subjective Wellbeing ◽  
School Connectedness ◽  
Well Being ◽  
Positive Psychological Functioning ◽  
Confirmatory Factor

Previous research demonstrates that there is an association between effective teaching and teachers’ positive psychological functioning at work. The current study explores the factor structure of the Teacher Subjective Wellbeing Questionnaire (TSWQ), which is a brief measure of two key dimensions of teachers’ positive psychological functioning: school connectedness and teaching efficacy. Confirmatory factor analysis was conducted on TSWQ responses from a sample of 1,883 teachers across eight states, with results suggesting that the TSWQ is a structurally valid measure of its two purported teacher well-being constructs. Furthermore, measurement invariance analyses reveal that the factor structure of the TSWQ stays consistent across elementary, middle, and high school teachers. Taken together, findings from the current study further support the technical adequacy and, by extension, the applied use of the TSWQ in schools to screen for intervention, measure outcomes, and monitor progress.

Background for and Development of a Brief Adult Behavioral Classification Project Inventory

1998 ◽  
Vol 83 (2) ◽  
pp. 531-544
Author(s):  
Sam Marullo ◽  
Ralph Mason Dreger
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Original Data ◽  
Factor Scores ◽  
Factor Analyses ◽  
Data Set ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Behavioral Classification ◽  
Classification Project

An abridgement of the Adult Behavioral Classification Project Inventory (AdBCP) was accomplished. The creation and development of the full-scale Inventory is described in Phase I. In Phase II, the participant pool was divided into half, and each half of the data set was subjected to both exploratory and confirmatory factor analyses with a factor control of 11 of the strongest factors in the original data set. Items identifying these factors had to have at least |.35| factor structure weights, leaving a 42-item instrument, the Brief AdBCP Inventory. Predicting from the first half to the second half by confirmatory factor analysis resulted in a fair confirmation of the factor structure. A rough norm table is offered based on the factor scores of the first half of the participants' records.

Factor Structure of Beck's Suicide Intent Scales

1977 ◽  
Vol 40 (1) ◽  
pp. 295-302 ◽  
Author(s):  
Richard D. Wetzel
Keyword(s):  
Suicide Attempt ◽  
Factor Structure ◽  
General Factor ◽  
Factor Scores ◽  
Suicide Attempters ◽  
Suicidal Intent ◽  
Suicide Intent

Data obtained from 48 suicide attempters and 56 suicide threateners on three of Beck's suicide intent scales were factor analyzed. The scale, attempt suicide intent, yielded four orthogonal factors reflecting seriousness of intent, lethality of the act, precautions against interference and failure to initiate rescue after the attempt. The current scale of suicidal intent yielded four factors, bur one, the still suicidal factor, accounted for 44% of the variance. The suicide ideators scale yielded a general factor, called specificity of planning, accounting for more than half the variation. Factor scores were computed and correlated with diagnostic groupings. Character disordered subjects were more likely to report both more serious intent at time of suicide attempt and at interview than other attempters.

Development and Psychometric Evaluation of a Revised Sense of Coherence Scale

2018 ◽  
Vol 34 (3) ◽  
pp. 206-215 ◽  
Author(s):  
Rahel Bachem ◽  
Andreas Maercker
Keyword(s):  
Posttraumatic Growth ◽  
Factor Structure ◽  
Sense Of Coherence ◽  
Psychological Health ◽  
Psychometric Evaluation ◽  
Health Indicators ◽  
Structure Stability ◽  
Confirmatory Factor Analyses ◽  
Reliability Factor ◽  
Two Samples

Abstract. The present study introduces a revised Sense of Coherence (SOC) scale, a new conceptualization and operationalization of the resilience indicator SOC. It outlines the scale development and aims for testing its reliability, factor structure, and validity. Literature on Antonovsky’s SOC (SOC-A) was critically reviewed to identify needs for improving the scale. The scale was investigated in two samples. Sample 1 consisted of 334 bereaved participants, Sample 2 of 157 healthy controls. The revised SOC Scale, SOC-A, and theoretically relevant questionnaires were applied. Explorative and confirmatory factor analyses established a three-factor structure in both samples. The revised SOC Scale showed significant but discriminative associations with related constructs, including self-efficacy, posttraumatic growth, and neuroticism. The revised measure was significantly associated with psychological health indicators, including persistent grief, depression, and anxiety, but not to the extent as the previous SOC-A. Stability over time was sufficient. The study provides psychometric support for the revised SOC conceptualization and scale. It has several advantages over the previous SOC-A scale (unique variance, distinct factor structure, stability). The scale could be used for clinical and health psychological testing or research into the growing field of studies on resilience over the life span.

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