A construction method is given for all factors that satisfy the assumptions of the model for factor analysis, including partially determined factors where certain error variances are zero. Various criteria for the seriousness of indeterminacy are related. It is shown that B. F. Green's (1976) conjecture holds: For a linear factor predictor the mean squared error of prediction is constant over all possible factors. A simple and general geometric interpretation of factor indeterminacy is given on the basis of the distance between multiple factors. It is illustrated that variable elimination can have a large effect on the seriousness of factor indeterminacy. A simulation study reveals that if the mean square error of factor prediction equals .5, then two thirds of the persons are "correctly" selected by the best linear factor predictor. (PsycINFO Database Record (c) 2009 APA, all rights reserved)
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A previous study found a variety of unusual sexual interests to cluster in a five-factor structure, namely submission/masochism, forbidden sexual activities, dominance / sadism, mysophilia, and fetishism (Schippers et al., 2021). The current study was an empirical replication to examine whether these findings generalized to a representative population sample. An online, anonymous sample (N = 256) representative of the Dutch adult male population rated 32 unusual sexual interests on a scale from 1 (very unappealing) to 7 (very appealing). An exploratory factor analysis assessed whether similar factors would emerge as in the original study. A subsequent confirmatory factor analysis served to confirm the factor structure. Four slightly different factors of sexual interest were found: extreme, illegal and mysophilic sexual activities; light BDSM without real pain or suffering; heavy BDSM that may include pain or suffering; and illegal but lower-sentenced and fetishistic sexual activities. The model fit was acceptable. The representative replication sample was more sexually conservative and showed less sexual engagement than the original convenience sample. On a fundamental level, sexual interest in light BDSM activities and extreme, forbidden, and mysophilic activities seem to be relatively separate constructs.
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Estimation of the factor model by unweighted least squares (ULS) is distribution free, yields consistent estimates, and is computationally fast if the Minimum Residuals (MinRes) algorithm is employed. MinRes algorithms produce a converging sequence of monotonically decreasing ULS function values. Various suggestions for algorithms of the MinRes type are made for confirmatory as well as for exploratory factor analysis. These suggestions include the implementation of inequality constraints and the prevention of Heywood cases. A simulation study, comparing the bootstrap standard deviations for the parameters with the standard errors from maximum likelihood, indicates that these are virtually equal when the score vectors are sampled from the normal distribution. Two empirical examples demonstrate the usefulness of constrained exploratory and confirmatory factor analysis by ULS used in conjunction with the bootstrap method.
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Objective: To examine the underlying factor structure and psychometric properties of the Assessment of Self-management in Anxiety and Depression (ASAD) questionnaire, which was specifically designed for patients with (chronic) anxiety and depressive disorders. Moreover, this study assesses whether the number of items in the ASAD can be reduced without significantly reducing its precision. Methods: The ASAD questionnaire was completed by 171 participants across two samples: one sample comprised patients with residual anxiety or depressive symptoms, while the other consisted of patients who have been formally diagnosed with a chronic anxiety or depressive disorder. All participants had previously undergone treatment. Both exploratory (EFA) and confirmatory factor analyses (CFA) were conducted. Internal consistency and test–retest reliability were also assessed. Results: Both EFA and CFA indicated three solid factors: Seeking support, Daily life strategies and Taking ownership [Comparative Fit Index = 0.80, Tucker Lewis Index = 0.78, Root Mean Square Error of Approximation = 0.09 (CI 0.08–1.00), Standardized Root Mean Square Residual = 0.09 ($2 = 439.35, df = 168)]. The ASAD was thus reduced from 45 items to 21 items, which resulted in the ASAD-Short Form (SF). All sub-scales had a high level of internal consistency (> a = 0.75) and test–retest reliability (ICC > 0.75). Discussion: The first statistical evaluation of the ASAD indicated a high level of internal consistency and test–retest reliability, and identified three distinctive factors. This could aid patients and professionals’ assessment of types of self-management used by the patient. Given that this study indicated that the 21-item ASAD-SF is appropriate, this version should be further explored and validated among a sample of patients with (chronic or partially remitted) anxiety and depressive disorders. Alongside this, to increase generalizability, more studies are required to examine the English version of the ASAD within other settings and countries.
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Generation Z (Gen Z) will account for a growing proportion of the global workforce in the coming years. Therefore, it is vitally important to understand this generation’s unique perspectives and preferences regarding work. This exploratory study examines the prioritisation and desirability of Gen Z work values according to respondents’ nationality. Data for this study was collected through a survey among 1188 undergraduate students enrolled in one university each in China, Germany, the Netherlands and Thailand. ANOVA test and Tukey post-hoc analysis were used to find out the difference between the groups based on nationality. Findings indicate nationality serves as a key differentiator in work value preferences. The findings challenge the concept of a global Generation Z as only two of the measured values, learning and visible results, were found to have universal appeal across the nationality groups. Despite increased levels of global interconnectedness and accompanying crossvergence of values, the results show significant statistical differences in work values based on the respondents’ nationality. Due to the scope and explorative design of the present study, it cannot be certain that the findings are exclusively from Gen Z characteristics or influenced by other, non-cultural, variables. This study suggests there is a need for study programmes at a tertiary level to embed experiential learning components and individual study pathways in their curricula to enable students to develop realistic expectations about the workplace and their place in it. In turn, these programmes will be able to develop a competitive advantage in HE landscape. The insights gained can be leveraged by internationally oriented study programmes, such as International Business (IB), to better address Gen Z needs and expectations.
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Cybercrime – en daarmee cybersecurity – is een groot maatschappelijk probleem. De criminologische bestudering van cybercrime staat nog in de kinderschoenen. Het is echter niet alleen noodzakelijk om fundamenteel wetenschappelijk onderzoek uit te voeren (‘de lange termijn’), maar ook om met de praktijk de acute problemen en uitdagingen van vandaag en morgen te onderzoeken. Het merendeel van het onderzoek op dit gebied – en dan heb ik het over zowel fundamenteel wetenschappelijk als praktijkgericht onderzoek – komt tot nu toe uit de hoek van de technische wetenschappen. Technologie speelt natuurlijk ook een belangrijke rol bij cyberincidenten, maar we hebben het over mensen die cyberaanvallen uitvoeren, mensen die – wetend of onwetend – meewerken aan die aanvallen, mensen die slachtoffer worden en mensen die zich bezighouden met het tegenhouden van cyberaanvallen. Empirisch onderzoek naar de menselijke factor bij cybercrime en cybersecurity is schaars. De onder mijn redactie recent uitgebrachte onderzoeksagenda ‘The human factor in cybercrime en cybersecurity’ maakt dit helder.1 In die onderzoeksagenda zijn tientallen onderwerpen geïdentificeerd waar de komende jaren onderzoek naar moet worden gedaan omdat basale kennis ontbreekt. Tegelijkertijd zit het werkveld te springen om bruikbare kennis over manieren om zich te beschermen tegen cyberaanvallen. Dat laatste is iets wat we zeker gemerkt hebben het afgelopen jaar. Al voor de officiële start van het lectoraat Cybersecurity in het midden- en kleinbedrijf (mkb) stroomden de verzoeken binnen van gemeenten, brancheorganisaties en bedrijven om gezamenlijk onderzoek te doen. Dit is dan ook de reden dat we, ondanks dat het lectoraat nog geen jaar geleden is ingesteld, al flink wat onderzoeken voor en met de praktijk uitvoeren. De constatering dat onderzoek naar de menselijke factor binnen cybercrime en cybersecurity nog in de kinderschoenen staat terwijl er een grote vraag is naar evidence-based praktisch toepasbare kennis, is de reden dat De Haagse Hogeschool (HHs) en het Nederlands Studiecentrum Criminaliteit en Rechtshandhaving (NSCR) de handen ineengeslagen hebben voor de totstandkoming van dit lectoraat. Zowel De HHs als het NSCR hebben cybersecurity en cybercrime al enkele jaren geleden als prioriteit benoemd en hebben elk afzonderlijk onderzoeksprogramma’s op dit gebied. Voor De HHs geldt dat onderzoeken toepassingsgericht moeten zijn en dat de nieuwste onderzoeksmethoden en -technieken moeten worden toegepast om hoogwaardige producten op te leveren. Voor het NSCR geldt dat onderzoeken ook fundamentele kennis moeten opleveren. Het is echter steeds duidelijker dat bij onderzoek naar cybercrime en cybersecurity het beste van beide werelden nodig is. Het lectoraat heeft dan ook de nadrukkelijke opdracht deze twee onderzoeksprogramma’s te verbinden. Ik zal in deze inleiding een beknopte schets geven van de onderzoeksprogramma’s van deze organisaties en van de toekomstige onderzoeken binnen het lectoraat. LinkedIn: https://www.linkedin.com/in/rutgerleukfeldt/
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This study explores how households interact with smart systems for energy usage, providing insights into the field's trends, themes and evolution through a bibliometric analysis of 547 relevant literature from 2015 to 2025. Our findings discover: (1) Research activity has grown over the past decade, with leading journals recognizing several productive authors. Increased collaboration and interdisciplinary work are expected to expand; (2) Key research hotspots, identified through keyword co-occurrence, with two (exploration and development) stages, highlighting the interplay between technological, economic, environmental, and behavioral factors within the field; (3) Future research should place greater emphasis on understanding how emerging technologies interact with human, with a deeper understanding of users. Beyond the individual perspective, social dimensions also demand investigation. Finally, research should also aim to support policy development. To conclude, this study contributes to a broader perspective of this topic and highlights directions for future research development.
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Abstract Primary healthcare professionals face an increasing number of geriatrics patients, and patient care often involves different disciplines. eHealth offers opportunities to support interprofessional collaboration (IPC). This exploratory study aimed to gain insight in 1) IPC in community-based rehabilitation, 2) facilitators and barriers for technology-based IPC and 3) technological IPC solutions envisioned by the primary healthcare professionals An focus group with six primary healthcare professionals and a design thinking session with four participants were conducted. Data analysis was based upon an IPC model. Results indicate that facilitators and barriers for IPC can be clustered in three categories: human, organization and technology, and provide some requirements to develop suitable IPC technological solutions Primary healthcare professionals recognise the urgency of working collaboratively. Current barriers are understanding each other’s professional vocabulary, engaging the older adults, and using technology within the patient’s environment. Further research is needed to integrate IPC components in a technological solution
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BACKGROUND: The original Rainbow Model of Integrated Care Measurement Tool (RMIC-MT) is based on the Rainbow Model of Integrated Care (RMIC), which provides a comprehensive theoretical framework for integrated care. To translate and adapt the original care provider version of the RMIC-MT and evaluate its psychometric properties by a pilot study in Chinese primary care systems.METHODS: The translation and adaptation process were performed in four steps, forward and back-translation, experts review and pre-testing. We conducted a cross-sectional study with 1610 community care professionals in all 79 community health stations in the Nanshan district. We analyzed the distribution of responses to each item to study the psychometric sensitivity. Exploratory factor analysis with principal axis extraction method and promax rotation was used to assess the construct validity. Cronbach's alpha was utilized to ascertain the internal consistency reliability. Lastly, confirmation factor analysis was used to evaluate the exploratory factor analysis model fit.RESULTS: During the translation and adaptation process, all 48 items were retained with some detailed modifications. No item was found to have psychometric sensitivity problems. Six factors (person- & community-centeredness, care integration, professional integration, organizational integration, cultural competence and technical competence) with 45 items were determined by exploratory factor analysis, accounting for 61.46% of the total variance. A standard Cronbach's alpha of 0.940 and significant correlation among all items in the scale (> 0.4) showed good internal consistency reliability of the tool. And, the model passed the majority of goodness-to-fit test by confirmation factor analysis.CONCLUSIONS: The results showed initial satisfactory psychometric properties for the validation of the Chinese RMIC-MT provider version. Its application in China will promote the development of people-centered integrated primary care. However, further psychometric testing is needed in multiple primary care settings with both public and private community institutes.
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Itch (pruritus) is a common multidimensional complaint after burn that can persist for months to years. A questionnaire able to investigate itch and its consequences is imperative for clinical and research purposes. The current study investigated the factor structure, internal consistency and construct validity of the Burns Itch Questionnaire (BIQ), a questionnaire particularly focusing on itch in the burns population. The BIQ was completed by 195 respondents at 3 months after burn. An exploratory factor analysis (EFA) was performed to investigate the factor structure. EFA showed the BIQ comprised three latent factors: itch severity, sleep interference and daily life interference. This was re-evaluated in a confirmatory factor analysis that yielded good fit indices after removing two items. The three subscales showed to have high internal consistency (.89) and were able to distinguish between patients with severe and less severe complaints. In conclusion, the BIQ showed to be useful in persons suffering from itch following burns.
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