Original Construct Research Articles

Utilizing Experiential Learning Methods to Teach Substantive Law Courses to Undergraduate Students

This study proposes experiential learning methods for delivering and assessing substantive law courses to undergraduate students. The study reviews current experiential learning methods used to teach contract law, the most common substantive law course offered to law and non-law undergraduate students. The identified methods are synthesized and mapped to Kolb’s Experiential Learning Cycle. The study follows the PRISMA-ScR checklist and explanation guidelines to report its findings. A scholarly search was conducted on Google Scholar and four online databases (ACM Digital Library, EMERALD, PROQUEST and SCOPUS). Of the 44 studies that met the inclusion criteria, 141 essential original constructs were collected, and 7 methods were derived. The study found that role-plays and simulation methods recorded the highest percentage of original constructs (38%, n = 54), followed by fieldwork and clinical methods (26%, n = 36), case-based methods (11%, n = 15), writing task methods (9%, n = 12), problem-based learning methods (7%, n = 11), street law (5%, n = 7) and seminar-based methods (4%, n = 6). The study also synthesized 23 new items for experiential learning methods that may guide the teaching of substantive law courses to undergraduate students. This scoping review adds significant value to the current body of knowledge by presenting novel items that law academics can use to adopt experiential learning methods for teaching substantive law to undergraduate students. These items can also be adapted for the development of experiential-based learning course syllabi and assessments for other substantive law courses not included as a sample of analysis.

Study on Downhole Geomagnetic Suitability Problems Based on Improved Back Propagation Neural Network

The analysis of geomagnetic suitability is the basis and premise of geomagnetic matching navigation and positioning. A geomagnetic suitability evaluation model using mixed sampling and an improved back propagation neural network (BPNN) based on the gray wolf optimization (GWO) algorithm by incorporating the dimension learning-based hunting (DLH) search strategy algorithm was proposed in this paper to accurately assess the geomagnetic suitability. Compared with the traditional geomagnetic suitability evaluation model, its generalization ability and accuracy were better improved. Firstly, the key indicators and matching labels used for geomagnetic suitability evaluation were analyzed, and an evaluation system was established. Then, a mixed sampling method based on the synthetic minority over-sampling technique (SMOTE) and Tomek Links was employed to extend the original dataset and construct a new dataset. Next, the dataset was divided into a training set and a test set, according to 7:3. The geomagnetic standard deviation, kurtosis coefficient, skewness coefficient, geomagnetic information entropy, geomagnetic roughness, variance of geomagnetic roughness, and correlation coefficient were used as input indicators and put into the DLH-GWO-BPNN model for model training with matching labels as output. Accuracy, recall, the ROC curve, and the AUC value were taken as evaluation indexes. Finally, PSO (Particle Swarm Optimization)-BPNN, WOA (Whale Optimization Algorithm)-BPNN, GA (Genetic Algorithm)-BPNN, and GWO-BPNN algorithms were selected as compared methods to verify the predictable ability of the DLH-GWO-BPNN. The accuracy ranking of the five models on the test set was as follows: PSO-BPNN (80.95 %) = WOA-BPNN (80.95%) < GA-BPNN (85.71%) = GWO-BPNN (85.71%) < DLH-GWO-BPNN (95.24%). The results indicate that the DLH-GWO-BPNN model can be used as a reliable method for underground geomagnetic suitability research, which can be applied to the research of geomagnetic matching navigation.

RESEARCH INTO QUADRATIC SIMILARITY OF METAPHOR TRANSLATION

Metaphor translation is an important aspect of translation ontology research. Metaphor translation is not only the process of understanding the superficial intralingual similarity, but also the process of transforming the deep interlingual similarity, which is essentially a complex thinking process of “quadratic similarity”. The study of metaphor translation involves both intralingual and interlingual similarities and has the characteristics of quadratic similarity. The intralingual similarity of metaphor translation is formed by point, line and plane similarity forms; and the interlingual similarity of metaphor translation is based on the intralingual similarity and deduces the line, plane and three-dimensional similarity of metaphor translation. Based on the six similarity patterns of the original Russian metaphor constructs, 18 similarity transformation types of Metaphor translation are deduced and four translation strategies are proposed.

Pedi-IKDC exhibits questionable measurement properties in a cohort of pediatric patients with ACL rupture.

Pedi-IKDC is commonly used to evaluate anterior cruciate ligament (ACL) deficiency in children. However, its construct validity has not been thoroughly assessed. The aim was to examine the measurement properties of the Pediatric International Knee Documentation Committee (Pedi-IKDC) by modern test theory (MTT) models, confirmatory factor analysis (CFA), and item response theory (IRT). The cohort consisted of all children and adolescents in Denmark (n = 535, age 9-16) treated with physeal-sparing ACL reconstruction 2011-2020. Patient-reported outcome measure (PROM) data were collected before surgery and at 1 year follow-up. Structural validity of Pedi-IKDC was assessed with MTT models. Reliability was reported as McDonalds coefficient omega. Responsiveness was evaluated with standardized response means. Sufficient PROM data were available for 372 patients. The original unidimensional construct did not fit CFA model expectations neither before surgery (χ2 = 462.0, df = 163, p < 0.0001; RMSEA: 0.109, CFI: 0.910, TFI: 0.895) nor at follow-up. Neither did a two-factor CFA model with "Symptoms" and "Sports activities" as individual subscales (χ2 = 455.6, df = 162, p < 0.0001) nor a bifactor model (χ2 = 338.9, df = 143, p < 0.0001), although fit indices improved with the latter (RMSEA: 0.094, CFI: 0.941, TFI: 0.922). The IRT models confirmed this pattern. The scale was responsive (SRM 1.66 (95% CI: 1.46-1.88)). Coefficient omega values were 0.866 before surgery and 0.919 at follow-up. The Pedi-IKDC exhibited inadequate structural validity. Neither the original construct, a two-factor model, nor bifactor models fitted data well. We advise that data obtained by Pedi-IKDC are interpreted with caution.

The factors affecting Vietnamese people’s sustainable tourism intention: an empirical study with extended the theory of planned behavior (TPB)

PurposeThe purpose of this paper is to investigate factors affecting Vietnamese people’s sustainable tourism intention (IN) with extended the theory of planned behavior (TPB).Design/methodology/approachPreliminary quantitative research was carried out before large-scale formal quantitative research with a sample size of 628 Vietnamese people. Using the partial least squares structural equation modeling method with the SmartPLS tool, measurement and structural models 3.0 were evaluated before testing the research hypotheses about the influence of factors on the IN of sustainable tourism.FindingsThis study uses the extended TPB model with original constructs and two additional constructs, travel motivation (TM) and moral reflectiveness (MR), to find out the factors affecting the sustainable tourism IN of Vietnamese people. All hypotheses are accepted, except for the hypothesis about the relationship between TM and attitude toward sustainable tourism. MR has been shown to have a more positive and stronger (insignificant) effect than other factors of the proposed research model on sustainable tourism IN. Thereby, this study contributes both theoretically and practically to policymakers, researchers and tourism enterprises in promoting sustainable tourism IN.Research limitations/implicationsThe main limitation of this paper is the deliberate sampling method and targeting the demographic proportion corresponding to the population has lost the randomness of the survey sample.Practical implicationsThe findings indicate that state management agencies and tourism enterprises in Vietnam need to pay attention to communication to raise awareness of environmentally oriented tourism and promote the ability to participate in sustainable tourism at a reasonable price as well as the opportunity for easy access and, at the same time, take measures to influence TM and have communication strategies that address the ethical value of participating in sustainable tourism.Originality/valueTo the best of the authors’ knowledge, this paper is the first empirical study to contribute to the existing literature on tourism by integrating TPB constructs with TM and MR to predict sustainable tourism IN.

Meta-analysis of driving behavior studies and assessment of factors using structural equation modeling

The aim of this paper is to understand the factors that influence unsafe driving practices by examining published studies that utilized the theory of planned behavior (TPB) to predict driving behavior. To this end, 42 studies published up to the end of 2021 are reviewed to evaluate the predictive utility of TPB by employing a meta-analysis and structural equation model. The results indicate that these studies sought to predict 20 distinct driving behaviors (e.g., drink-driving, use of cellphone while driving, aggressive driving) using the original TPB constructs and 43 additional variables. The TPB model with the three original constructs is found to account for 32% intentional variance and 34% behavioral variance. Among the 43 variables researchers have examined in TPB studies related to driving behavior, this study identified the six that are commonly used to enhance the TPB model’s predictive power. These variables are past behavior, self-identity, descriptive norm, anticipated regret, risk perception, and moral norm. When past behavior is added to the original TPB model, it increases the explained variance in intention to 52%. When all six factors are added to the original TPB model, the best model has only four variables (perceived risk, self-identity, descriptive norm, and moral norm); and increases the explained variance to 48%. The influence of the TPB constructs on intention is modified by behavior category and traffic category. The findings of this paper validate the application of TPB to predicting driving behavior. It is the first study to do this through the use of meta-analysis and structural equation modeling.

Validation of the neuroconnective endophenotype questionnaire (NEQ): a new clinical tool for medicine and psychiatry resulting from the contribution of Ehlers-Danlos syndrome.

The link between anxiety disorders and joint hypermobility syndrome (now under hypermobility spectrum disorders, which include hypermobile Ehlers-Danlos syndrome) has been widely replicated over the past 30 years and has grown beyond the initial nosological limits. To integrate clinical and research progress in this field, a new neuroconnective endophenotype (NE) and its corresponding instrument, the Neuroconnective Endophenotype Questionnaire (NEQ), have been developed. This new clinical construct, created with the active participation of patients, includes both somatic and psychological dimensions and symptoms and resilience items. The NE includes five dimensions: (1) sensorial sensitivity, (2) body signs and symptoms, (3) somatic conditions, (4) polar behavioral strategies, and (5) psychological and psychopathological dimensions. The NEQ information is collected through four self-administered questionnaires (sensorial sensitivity, body signs and symptoms, polar behavioral strategies, and psychological characteristics) and a structured diagnostic part that should be completed by a trained observer. This hetero-administered part incorporates (a) psychiatric diagnoses (using structured criteria, e.g., MINI), (b) somatic disorders diagnosis, using structured criteria, and (c) assessment of joint hypermobility criteria. In a sample of 36 anxiety cases with 36 matched controls, the NEQ obtained high scores for test-retest, inter-rater reliability, and internal consistency. As for predictive validity, cases and controls significantly differed in all five dimensions and hypermobility measurements. We can conclude that the NEQ has achieved acceptable reliability and validity values and, therefore, is ready to be used and tested in different samples. This original and consistent construct including somatic and mental items may improve clinical specificity, the search for more comprehensive therapies, and their genetic and neuroimaging bases.

Propiedades psicométricas del cuestionario de adicción a las redes sociales (ARS) a población universitaria

Social network addiction in young people has been extensively studied and associated with multiple factors. Among the scales de­signed to measure this, the 24-item version of the Social Network Addiction Questionnaire (SNAQ) is one of the most widely used. This study analyses the psychometric properties of the Spanish version adapted to undergradu­ates. The content and construct validity of the scale was explored using the Rasch model and a confirmatory factor analysis. The data cate­gorisation structure, construct dimensionality, model fit, subject and item reliability, Wright Map structure, and differential item function­ing (DIF) were specifically analysed. 1,809 students from 24 Spanish universities partic­ipated. The results indicate that the SNAQ presents good reliability and dimensionality, and a good model fit; however, elements in need of improvement are appreciated mainly in the proposed Likert scale, in the develop­ment of new items that measure the extremes of addiction to social network sites and in the wording of one item. With respect to fac­tor analysis, three factors were obtained thatcoincide with the original construct. With the improvements that have been observed through validation, the questionnaire could confidently be used to measure the construct in the university population. The instrument fills an important gap in the identification of addictive behaviours in the use of social net­works, which could lead to a subsequent inter­vention involving undergraduates.

A commentary on Lim and Teo's (2022) review of cyberloafing: Further discussion on its concept and potential impact

AbstractOver the last two decades, an increasingly complex work context of personal and work activities has blurred the foundations on which the concept of cyberloafing was traditionally based. It is no coincidence that Lim and Teo's recent review on cyberloafing refines the original construct defined by Lim and proposes new directions for determining its impact. The present commentary aims to offer additional discussion on these two aspects. First, the author aims to examine the conceptual architecture of cyberloafing by considering alternative perspectives. In contrast to conceptualizing cyberloafing traditionally by determining its boundaries such as engagement in online activities during working time and for personal purposes, the author also directly focuses on engagement in offline activities, which determines the behavioral features that are within its boundaries. The paper concludes by discussing the implications of combining these online and offline perspectives to provide a detailed assessment of the online and offline impacts of cyberloafing.

Research on the graphic reconstruction of traditional auspicious patterns in contemporary art design

The "auspicious pattern" refers to the pattern of "auspiciousness" and "peace" as the expression of the concept of auspiciousness, which has evolved and become more and more diversified. "Reconstruction" is to break up the original objective structural form and construct a new objective structural form according to the design and concept of the new form, and to make a new extension of its structural meaning. Nowadays, technology has gradually broken the limitations of traditional auspicious patterns in terms of art form and symbolic language, and many excellent designers have redesigned them. The purpose of this paper is to study the social context and creative forms of the reconstruction of traditional Chinese auspicious motifs in the field of art and design today. The purpose of this paper is to examine the social context and creative forms of the reconstruction of traditional Chinese auspicious motifs in the field of art and design, and to analyze the new design methods that continue to convey and even expand the symbolic meaning of the motifs, and to fit the aesthetic orientation of the contemporary people, as well as to inherit and promote the traditional auspicious culture.

Teaching Contract Law Using Experiential Learning Methods

This study proposes experiential learning methods that can be used for delivery and assessment of contract law course to undergraduate students. To achieve this aim, this study explores the experiential learning methods currently in practice in teaching contract law to law and non-law undergraduate students. This study also synthesizes and maps the identified methods to Kolb Experiential Learning Cycle. PRISMA Extension for Scoping Reviews (PRISMA-ScR): A checklist and Explanation guideline was used to report this study. The search was based on a Google Scholar and four primary academic databases: ACM Digital Library, EMERALD, PROQUEST and SCOPUS. Of the 34 studies that met the inclusion criteria, 133 essential original constructs were collated, and seven methods were derived. Role plays, and simulation methods record the highest percentage of collated original constructs (39%, n=52) followed by fieldwork and clinical (24%, n=32), case-based (11%, n=15), writing task (8%, n=11), problem-based learning (8%, n=10), street law (n=7) and seminar-based (5%, n=6). Twenty-three new items were synthesised for experiential learning methods, which may guide the teaching of contract law using experiential learning to undergraduate students. This study adds significant value to the corpus of knowledge in teaching contract law to undergraduate students by providing evidence-based experiential learning methods. The newly synthesised items in the methods can be readily used as an initial guide by the faculty members during the development of the contract law course syllabus for undergraduates. They are also valuable for academics planning to invoke experiential learning methods in teaching contract law to undergraduate students.

Observer of harmonic oscillator parameters

This paper deals with the problem of asymptotically estimating amplitude, frequency and phase of a sinusoidal signal by adopting the theory of invariant relations proposed in analytical mechanics [8] and further investigated in [9], [10] (see also [11]). The problem of frequency, amplitude and phase estimation of a sinusoidal signal has attracted a remarkable research attention in the past and current literature. The reasons of this interest rely on several engineering applications where an effective and robust solution to this problem is crucial. To mention few, it is worth mentioning problems of harmonic disturbance compensation in automatic control, design of phase-looked loop circuits in telecommunication, adaptive filtering in signal processing, etc. In principle, the method of least squares, Fourier analysis, Laplace transform provide a potential solution to the corresponding problems. However, these methods may not be suitable, for example, for control algorithms with real-time data processing. The goal of this paper is to suggest a further contribution to this task by showing how to solve the problem at hand through the observer’s theory. The method of invariant relations is used for the asymptotically observation scheme design. This aproach is based on dynamical extension of original system and construct of appropriate invariant relations, from which the unknowns variables can be expressed as a functions of the known quantities on the trajectories of extended system. The final synthesis is carried out from the condition of obtaining asymptotic estimates of unknown parameters. It is shown that an asymptotic estimate of the unknown states can be obtained by rendering attractive an appropriately selected invariant manifold in the extended state space. The asymptotic convergence of the estimates of the sought phase vector components to their true value is proved. The simulation results demonstrate the effectiveness of the proposed method of solving the state observation problem of the harmonic oscillator. It should be noted that a more general approach, which forms an appropriate method for solving observation problems for nonlinear dynamical systems due to the synthesis of invariant manifold, was proposed as a modification of the I\&amp;I method (Input and Invariance) of stabilization of nonlinear systems in [12, 13].

Design and Development of Granular Fuzzy Rule-Based Models for Knowledge Transfer

As an effective way for knowledge representation and processing, fuzzy rule-based models have been extensively studied and widely used in practice. In many circumstances, a very limited amount of data or insufficient computational resources make the construction of accurate models a genuine challenge. In this study, a granular augmentation of fuzzy rule-based models is proposed with intent to realize knowledge transfer in system modeling. This research mainly focuses on how to effectively exploit the existing fuzzy model, which has been constructed on extensive previously acquired experimental evidence and could be regarded as source of knowledge, in a new environment where only very limited experimental evidence is available. Rather than constructing a new model from scratch, knowledge conveyed by the existing model could be retained and reused in the target domain. The originality and innovation of this study lies in the adaption of the existing model to the new environment through optimal allocation of information granularity to produce granular fuzzy models, which are more abstract and general than the original numeric constructs. The granular fuzzy models yield results in a granular form whose quality is evaluated using the coverage and specificity criteria.

Identification of Nonlinear Discrete Systems From Probability Density Sequences

This paper presents a novel solution to the inverse Frobenius-Perron problem of reconstructing an unknown nonlinear and ergodic map from causal sequences of probability density functions generated by the map. The original solution to this problem successfully reconstructs members of the canonical map class (i.e., a subset of the piecewise linear semi-Markov maps), provided all the map’s branches are monotonically increasing. The original solution constructs a matrix estimate of the map’s Frobenius-Perron operator, which governs the evolution of density functions under iteration of the map, from the density sequences. The one-dimensional map is reconstructed from this matrix. In contrast, the proposed solution constructs a higher-order matrix estimate of the Frobenius-Perron operator. A member of the newly proposed class of generalized hat maps, a superset of the canonical maps, is constructed from this matrix estimate. The proposed solution successfully distinguishes between increasing and decreasing map branches and enlarges the class of maps that can be successfully reconstructed to canonical maps with any subset of decreasing branches. When used to reconstruct any piecewise linear semi-Markov map, the proposed solution generates a map with consistent invariant density and power spectrum mode characteristics, regardless of the unknown map’s canonicity or branch monotonicity. Numerical examples that illustrate the proposed solution’s characteristics are presented.

A Conceptual Framework of Cash Waqf Awareness in Malaysia Using Theory of Planned Behavior

The important function of Cash Waqf is to achieve the economic balance of a nation which aim to alleviate poverty and promote socioeconomic development. The improvement in cash waqf awareness as a charitable endowment fund among Muslims would benefit designated beneficiaries such as the donors, family institutions and other individuals. In term of research methodology, the researchers discussed the empirical support of various literature which recognize the use of Theory of Planned Behavior (TPB). A conceptual framework which adopts three original constructs comprising of attitude, subjective norm and perceived behavior control in predicting intention towards cash waqf awareness are suggested. The findings of this study is expected to add to the body of knowledge on the guidelines regarding how cash waqf awareness could be promoted among Muslims in Malaysia. Essentially this effort is expected to empower cash waqf for ummah development and serve as a strong economic instrument in stabilising economic wellbeing among Muslim.

Ensemble approximations for constrained dynamical systems using Liouville equation

For a class of state-constrained dynamical systems described by evolution variational inequalities, we study the time evolution of a probability measure which describes the distribution of the state over a set. In contrast to smooth ordinary differential equations, where the evolution of this probability measure is described by the Liouville equations, the flow map associated with the nonsmooth differential inclusion is not necessarily invertible and one cannot directly derive a continuity equation to describe the evolution of the distribution of states. Instead, we consider Lipschitz approximation of our original nonsmooth system and construct a sequence of measures obtained from Liouville equations corresponding to these approximations. This sequence of measures converges in weak-star topology to the measure describing the evolution of the distribution of states for the original nonsmooth system. This allows us to approximate numerically the evolution of moments (up to some finite order) for our original nonsmooth system, using a solver that uses finite order moment approximations of the Liouville equation. Our approach is illustrated with the help of two academic examples.

Modeling basic school teachers acceptance of instructional technology in advancing mathematical pedagogy in Ghana

In this study a modified technology acceptance model (TAM) was used to examine factors that determine information and communication technology (ICT) adoption in junior high school (JHS) mathematics classrooms in Ghana. The study purely employed a quantitative research method. A cross sectional survey was conducted using 180 basic school mathematics instructors in the Kumasi Metro using a questionnaire. Multiple stepwise regression was used as the statistical technique to analyze the data. The study found that usage training, perceived ease of use (PEU), perceived usefulness (PU), and attitude towards use (ATU), had a direct and positive impact on the JHS mathematics instructors’ intentions to utilize ICT for academic purposes. It was likewise concluded that the perceived ICT usefulness was found to be the most influential factor for the instructors’ intention to utilize ICT. The significant effect of usage training was statistically supported against the original TAM constructs utilized in this study. Also, the result from the study further reveals that mathematics facilitators intension to use ICT is not merely based on PEU, PU, and ATU, but fostered through educational culture to train their teaching staff in order to increase their competence and ability to use the instructional technology for academic purposes.

Silicon Photoelectrodes Prepared by Low-Cost Wet Methods for Solar Photoelectrocatalysis

ConspectusThe electrochemical conversion of sunlight by photoelectrochemical cells (PECs) is based on semiconductor electrodes that are interfaced with a liquid electrolyte. This approach is highly promising, first, because it can be employed for the generation of a chemical fuel (e.g., H2) to store solar energy that can be used on-demand to generate electricity when the sun is not available. Second, it can be seen as a concept reminiscent of photosynthesis, where CO2 is converted into a valuable feedstock by solar energy. Thus, photoelectrochemical cells are sometimes referred to as “artificial leaves”. Silicon, being the main semiconductor in the electronics and photovoltaic sector, is a prime candidate to be used as the light absorber and the substrate for building photoelectrochemical cells. However, Si alone has “poor-to-no photoelectrochemical performance”. This is caused by its weak electrocatalytic activity for cathodic reactions (namely, the hydrogen evolution reaction (HER), the CO2 reduction reaction (CDRR), and the N2 reduction reaction) and by its deactivation in the anodic regime, prohibiting its use for the oxygen evolution reaction (OER). This latter reaction is essential for supplying electrons to generate a solar fuel. Due to these problems, layers that both protect and are catalytically active are typically employed on Si photoelectrodes but require rather sophisticated manufacturing processes (e.g., atomic layer or electron beam deposition), which hinders research and innovation in this field. Nevertheless, our group and others have demonstrated that these layers are not always required and that highly active and stable Si-based photoelectrodes can be manufactured using simple wet processes, such as drop casting, electroless deposition, or aqueous electrodeposition. In this Account, we first introduce the topic and the possible structures that can be easily obtained starting from commercial Si wafers. Then, we discuss strategies that have been employed to manufacture photocathodes based on p-type Si. Among these, we describe Si photocathodes coated with metal, inorganic compounds such as metal sulfides, and more original constructs, such as those based on macromolecules composed of a catalytic Mo3S4 core and a polyoxometallate macrocycle. Also, we discuss the elaboration and the advantages of Si photocathodes obtained by grafting organometallic catalysts which are promising candidates for reaching excellent selectivity for the CDRR. Then, the manufacturing of photoanodes based on n-Si is reviewed with an emphasis on those prepared by electrodeposition of a transition metal such as Ni and Fe. The effect of the catalyst morphology, density, and Si structuration is discussed, and future developments are proposed.

Digital self-report instruments for repeated measurement of mental health in the general adult population: a protocol for a systematic review

IntroductionDigital technologies present tremendous opportunities for enabling long-term measurement of mental health in the general population. Emerging studies have established preliminary efficacy of collecting self-report data digitally. However, a key...

Cultural Adaptation of Interventions and the a Priori Assessment of Intervention Fit: Exploring Measurement Invariance for American and Swedish Youth Leaving Care

ABSTRACT Purpose There is a growing literature on the importance of cultural adaptation of research-supported social work interventions. Few studies have however offered systematic methods for the a priori assessment of intervention fit in a new context. The current study explores the use of measurement invariance analyses to help identify whether key theoretical constructs in an intervention’s theory of change may fit differently in a new context. Methods We draw on data on 13 measures of key constructs in an intervention for youth leaving out-of-home care designed and trialed in the US context (N = 295; 53.1% girls, mean age 17.3) compared to Swedish adolescents (N = 104; 41% girls, mean age 17.5). Results In general, the results found all the measures to be invariant between US and Swedish samples. Discussion The original intervention (US) is likely to have a good fit in the new (Swedish) context in terms of the measurement and functionality of its key constructs. There are, however, some indications that certain aspects of the original key constructs may function differently in the Swedish context, highlighting a need to review either measurement or intervention design. A broader conclusion is that measurement invariance can provide a useful tool for research-supported social work practice, namely the systematic a priori assessment of the transferability of an intervention’s theory of change. Some limitations and methodological issues are discussed.