scholarly journals Factor Structure of the Pittsburgh Sleep Quality Index among Women Undergoing Infertility Treatment: A Confirmatory Factor Analysis

2021 ◽  
Author(s):  
Mansour Shamsipour ◽  
Ali Asghar Akhlaghi ◽  
Samira Vesali ◽  
Elham Khatooni ◽  
Arezu Najafi ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Sleep Quality ◽  
Factor Structure ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Sleep Problems ◽  
Factor Model ◽  
Infertility Treatment ◽  
Confirmatory Factor ◽  
Infertility Treatments

Background and Objective: People that undergo assisted infertility treatments experience more sleep problems. Although Pittsburgh Sleep Quality Index (PSQI) frequently has been used as a sleep quality assessment scale in different clinical and non-clinical settings, different sample characteristics may account for different structures. The current study aimed to evaluate the factor structure of PSQI among women seeking infertility treatment in Iran. Materials and Methods: Using a convenience sampling method, 157 infertile women or women whose husbands had infertility problems were included in a cross-sectional study in Royan Institute, a main referral infertility center in Tehran, Iran. The factor structure of PSQI was evaluated through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Results: The Cronbach’s alpha coefficient for PSQI was 0.65. A two-factor model was extracted by EFA; 56% of the total variance was accounted for by this model. The results of CFA indicated that extracted model obtained acceptable fit statistics [comparative fit index (CFI) = 0.942, standardized root mean square residual (SRMR) = 0.042, root mean square error of approximation (RMSEA) = 0.128, χ2 = 19.8, degree of freedom (df) = 12, P = 0.071] compared to other original single-factor or 3-factor models. Conclusion: Our results revealed the limited usefulness of single-factor structure of PSQI. A two-factor model of Persian version of PSQI should be used to assess sleep problems among women seeking assisted infertility treatments.

scholarly journals Examining the Factor Structure of the Pittsburgh Sleep Quality Index in a Multi-Ethnic Working Population in Singapore

2019 ◽  
Vol 16 (23) ◽  
pp. 4590
Author(s):  
Dunleavy ◽  
Bajpai ◽  
Tonon ◽  
Chua ◽  
Cheung ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Sleep Quality ◽  
Factor Structure ◽  
Quality Index ◽  
Goodness Of Fit ◽  
Pittsburgh Sleep Quality Index ◽  
Factor Model ◽  
Factor Models ◽  
Working Population ◽  
Three Factor

The Pittsburgh Sleep Quality Index (PSQI) is a widely used measure for assessing sleep impairment. Although it was developed as a unidimensional instrument, there is much debate that it contains multidimensional latent constructs. This study aims to investigate the dimensionality of the underlying factor structure of the PSQI in a multi-ethnic working population in Singapore. The PSQI was administered on three occasions (baseline, 3 months and 12 months) to full-time employees participating in a workplace cohort study. Exploratory factor analysis (EFA) investigated the latent factor structure of the scale at each timepoint. Confirmatory factor analysis (CFA) evaluated the model identified by EFA, and additionally evaluated it against a single factor and a three-factor model. The EFA identified a two-factor model with similar internal consistency and goodness-of-fit across each timepoint. In the CFA, the two- and three-factor models were both superior to the unidimensional model. The two- and three-factor models of the PSQI were reliable, consistent and provided similar goodness-of-fit over time, and both models were superior to the unidimensional measure. We recommend using the two-factor model to assess sleep characteristics in working populations in Singapore, given that it performs as well as the three-factor model and is simpler compared to the latter.

scholarly journals Confirmatory factor analysis of the Pittsburgh Sleep Quality Index in women with hot flashes

2015 ◽  
Vol 22 (11) ◽  
pp. 1190-1196 ◽  
Author(s):  
Julie L. Otte ◽  
Kevin L. Rand ◽  
Carol A. Landis ◽  
Misti L. Paudel ◽  
Katherine M. Newton ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Sleep Quality ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Hot Flashes ◽  
Confirmatory Factor

scholarly journals Construct validity and factor structure of the Pittsburgh Sleep Quality Index (PSQI) among physicians in Jeddah, Kingdom of Saudi Arabia

2018 ◽  
pp. 935-943 ◽  
Author(s):  
Ahmad Azam Malik ◽  
Marwan A. Bakarman ◽  
Nadeem Shafique Butt
Keyword(s):  
Saudi Arabia ◽  
Construct Validity ◽  
Sleep Quality ◽  
Factor Structure ◽  
World Literature ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Factor Model ◽  
Poor Sleep ◽  
Kingdom Of Saudi Arabia

Sleep disorders continue to rise and have been estimated to affect around half of the global population. Poor sleep quality and insomnia are also linked to various health issues in different populations. The Pittsburgh Sleep Quality Index (PSQI) is one of the most commonly used tool to assess sleep quality. It has been tested in various clinical and non-clinical settings and populations but mostly in developed world. Literature is limited from Arab region and further scarcity of studies is observed among health providers from the region. This study aimed to assess the construct validity and factor structure of PSQI among physicians in Jeddah, Kingdom of Saudi Arabia. This cross-sectional study used the PSQI tool with 19 items and 7 components on 330 physicians working in Jeddah. Data was entered and analyzed in IBM SPSS and AMOS version 22. Cronbach alpha was 0.745. Construct validity showed satisfactory results. Exploration of factor structure with Confirmatory factor analysis (CFA) showed 1-factor model as better fit. Among three models, 3-factor model showed least fit indices. The study findings showed some similarities as well as differences to comparable studies using PSQI in other settings that requires further as well as continuous exploration of the dynamic issue in similar and diverse settings.

scholarly journals Confirmatory Factor Analysis of the Pittsburgh Sleep Quality Index in Rheumatoid Arthritis Patients

2013 ◽  
Vol 12 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Perry M. Nicassio ◽  
Sarah R. Ormseth ◽  
Mara K. Custodio ◽  
Richard Olmstead ◽  
Michael H. Weisman ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Sleep Quality ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Confirmatory Factor

Factor scoring models of the Pittsburgh Sleep Quality Index: a comparative confirmatory factor analysis

2016 ◽  
Vol 47 (6) ◽  
pp. 851-864 ◽  
Author(s):  
Md. Dilshad Manzar ◽  
Wassilatul Zannat ◽  
Jamal Ali Moiz ◽  
David Warren Spence ◽  
Seithikurippu R. Pandi-Perumal ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Sleep Quality ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Confirmatory Factor

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

scholarly journals Factor structure and psychometric properties of the Pittsburgh Sleep Quality Index in community-based adolescents

SLEEP ◽  
2018 ◽  
Vol 41 (6) ◽  
Author(s):  
Monika B Raniti ◽  
Joanna M Waloszek ◽  
Orli Schwartz ◽  
Nicholas B Allen ◽  
John Trinder
Keyword(s):  
Sleep Quality ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Community Based

scholarly journals Factor Structure and Gender Invariance Testing for the Sport Anxiety Scale-2 (SAS-2)

2018 ◽  
Vol 12 (2) ◽  
pp. 201-217
Author(s):  
Leilani A. Madrigal ◽  
Vincenzo Roma ◽  
Todd Caze ◽  
Arthur Maerlender ◽  
Debra Hope
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Online Survey ◽  
Factor Model ◽  
Anxiety Scale ◽  
Negative Evaluation ◽  
Psychometric Validation ◽  
Confirmatory Factor Analyses ◽  
Analysis Group ◽  
Confirmatory Factor

This study aimed to provide further psychometric validation of the Sport Anxiety Scale-2 (SAS-2) by assessing the factor structure, invariance across gender, and convergent and divergent validity of the SAS-2 by correlating both related (i.e., anxiety sensitivity, brief fear of negative evaluation, intolerance of uncertainty, and negative affect) and unrelated constructs (i.e., positive affect, self-confidence). A total of 542 current and former competitive athletes completed a questionnaire through Amazon’s Mechanical Turk system. All data were collected via online survey. Participants were randomly assigned to an exploratory factor analysis (n = 271) and confirmatory factor analysis group (n = 271). Results indicated that both exploratory and confirmatory factor analyses supported the three-factor model of anxiety involving somatic anxiety, worry, and concentration disruption. Additionally, this study found the SAS-2 to be reliable, gender invariant, and have strong construct validity. Our findings extend the generalizability of the SAS-2 in more varied populations of athletic backgrounds.

Sign in / Sign up

Export Citation Format

Share Document