High Reliability Index Research Articles

A Systematic Review of Structural Reliability Methods for Deformation and Fatigue Analysis of Offshore Jacket Structures

This paper presents the state of the art in Structural Reliability Analysis (SRA) methods with a view of identifying key applications of each method and its proposed variations, qualifying characteristics, advantages, and limitations. Due to the increasing complexity and scale of modern offshore jacket structures, it becomes increasingly necessary to propose an accurate and efficient approach for the assessment of uncertainties in their material properties, geometric dimensions, and operating environments. SRA, as a form of uncertainty analysis, has been demonstrated to be a useful tool in the design of structures because it can directly quantify how uncertainty about input parameters can affect structural performance. Herein, attention was focused specifically on the probabilistic fracture mechanics approach because this accounts accurately for fatigue reliability mostly encountered as being dominant in the design of such structures. The well-established analytical/approximate methods such as the First- and Second-Order Reliability Methods (FORM/SORM) are widely used as they offer a good balance between accuracy and efficiency for realistic problems. They are, however, inaccurate in cases of highly non-linear systems. As a result, they have been modified using methods such as conjugate search direction approach, saddle point approximation, subset simulation, evidence theory, etc. in order to improve accuracy. Initially, direct simulations methods such as the Monte Carlo Simulation Method (MCS) with its various variance reduction techniques such as the Importance Sampling (IS), Latin Hypercube Sampling (LHS), etc. are ideal for structures having non-linear limit states but perform poorly for problems that calculate very low probabilities of failure. Overall, each method has its own merits and limitation, with FORM/SORM being the most commonly used, but recently, simulation methods have increasingly been used due to continuous advances in computation powers. Other relevant methods include the Response Surface Methods (RSM) and the Surrogate Models/Meta-models (SM/MM), which are advanced approximation methods and are ideal for structures with implicit limit state functions and high-reliability indices. Combinations of advanced approximation methods and reliability analysis methods are also found in literature as they can be suitable for complex, highly non-linear problems.

Validez y confiabilidad del instrumento determinante humano en la implementación del currículo de educación física

El objetivo de este artículo es dar cuenta del proceso de validación y fiabilidad del instrumento diseñado para estimar la influencia de las variables del determinante humano en la implementación del Currículo Nacional de Educación Física ecuatoriano, los cuales hacen referencia a las cualidades inherentes a la condición humana de los docentes que influyen en la gestión curricular y en la capacidad de organizar y poner en marcha un proyecto pedagógico en el Ecuador. El instrumento fue un cuestionario y fue estructurado en 14 ítems tipo escala de Likert, dirigido a 603 docentes de Educación Física de nueve Coordinaciones Zonales. Se realizó la validación de los ítems a través del juicio de siete expertos mediante la técnica de proporción de acuerdos, el cual concluye que el instrumento es válido debido al resultado de índice de validez de 0,85. El valor de Alpha de Cronbach obtenido es de 0,903 correspondiente a un índice de confiabilidad muy alto, lo que significa que el instrumento es práctico y confiable para a recolección de datos. Los resultados de este serán procesados siguiendo la estadística descriptiva e inferencial.

Designing an Innovative Assessment of HOTS in the Science Learning for the 21st Century

Science learning in the 21st century should develop the abilities of the students to find solutions to the problems. This task requires a set of skills called Higher Order Thinking Skills (HOTS) and innovative assessment should be designed to gauge the acquisition of these skills. Thus, this study aimed to create an innovative HOTS-based assessment tool in science learning. It entailed a method following the research and development model. It covered the topic of genetics and involved biology experts and junior high school students. The result initially showed that the assessment tool has high content validity. It further revealed that the items have a high-reliability index and they loaded on components based on the three HOTS intended for the test. Thus, this paper concludes that the HOTS-based assessment tool is a good classroom test to gauge the science learning of the students.

Design and reliability analysis of FRP-reinforced concrete columns

ACI 440-15 does not provide design provisions for columns and requires ignoring the compression contribution of FRP bars. However, this paper provides a design recommendation to include FRP bars' compression for more accurate predictions. The compressive contribution is included by limiting the strain to 0.002 for compression bars. This recommendation is valid for circular and rectangle columns subjected to concentric and eccentric loading. This paper supports the design recommendation by reliability analyses using Monte Carlo simulations. The analyses are based on the results of 194 column tests surveyed from literature. The analysis has been conducted for a wide range of live to dead load ratios. Generally, the results show that FRP-reinforced columns exhibit an acceptable levels of reliability index. Additionally, the reliability index was not sensitive to reinforcement ratio, eccentricity level, or concrete strength. However, the results show that CFRP columns have a higher reliability index than GFRP columns. Consequently, a lower strength reduction factor for GFRP bars can be utilized to achieve a consistent safety level.

APLIKASI MODEL RASCH DALAM PENGUJIAN INSTRUMEN INVENTORI KONSEP DAYA

Inventori Konsep Daya is an instrument that is adapted from the Force Concept Inventory (FCI). It is an instrument consisting of 30 diagnostic items related to the concept of force and motion. This instrument is widely used in physics education. However, the validity of this instrument in Bahasa Malaysia is not well studied to ensure that the items in the instrument function properly. Based on previous research, one of the major issues that are often questioned in the FCI is the reliability of the instrument when administered to different groups. When studies conducted in this country, researchers often use the reliability analysis under the Classical Test Theory. Various weaknesses are identified when evaluating using the analysis under the theory. Therefore, the purpose of this study is to apply the Rasch model under Item Response Theory in analyzing the items in Inventori Konsep Daya. Several analyzes were selected to determine the validity of the items and instruments. This study will be conducted on three levels of students involved in the learning of force and motion concepts. 300 samples will be taken from school students, elementary or matriculation students as well as undergraduate students who have studied this topic. The data will be analyzed using Windstep software. The results showed that Inventori Konsep Daya was a good instrument with high reliability and separation index, positive polarity value for every item, and fit the Rasch model. However, the instrument was quite difficult for the respondents in this study. This study is important in providing information to other researchers who will use FCI as an instrument in their study. In addition, the findings of this study can also be used to compare with the previous studies to draw more accurate conclusions.

Time-dependent reliability analysis of service-proven quay walls subject to corrosion-induced degradation

The assessment of service-proven quay walls subject to corrosion-induced degradation is inherently a time-dependent reliability problem. Two major challenges are the modelling of corrosion and taking into account the decrease of epistemic uncertainty throughout the quay wall's service life. The main objective of this study is to examine the probability of failure, despite successful past performance, when the quay wall is subject to corrosion and randomly imposed variable loads. The development of the annual failure rate is modelled using crude Monte Carlo and by performing a first-order system reliability analysis. The annual failure rates found for service-proven quay walls vary over time. For those with successful service histories and subject to low corrosion rates, the highest reliability indices are observed in the first year of the service life, whereas with higher corrosion rates the final year prevails. In general, it seems more practical to evaluate reliability on an annual basis rather than over longer time periods, since the latter will introduce an iterative procedure to determine the wall's remaining lifetime. The key findings of this study can be crucial for the lifetime extension of existing quay walls, and presumably also for other service-proven geotechnical structures subject to corrosion.

Psychometric properties of the Malay version of the Women\u2019s Views of Birth Labour Satisfaction Questionnaire using the Rasch measurement model: a cross sectional study

BackgroundBirth satisfaction represents a complex construct of implicit and profound relevance to a woman’s perceived birth experience. It correlates with the childbearing woman’s experience of the quality of care received and stress during labor. This study aimed to examine the psychometric properties of the Malay language version of the Women’s Views of Birth Labour Satisfaction Questionnaire (WOMBLSQ) on labor satisfaction using the Rasch rating scale model.MethodsA cross-sectional study was conducted. The translated Malay version of the WOMBLSQ was completed by 200 postpartum women in a tertiary hospital. The Rasch model was applied to investigate the statistics, unidimensionality, item polarity and misfit, person misfit and person item distribution map.ResultsThe Rasch analysis showed that the 27 items, in nine dimensions, had high item reliability and item separation at 0.98 and 7.65 respectively, while good person reliability and person separation were at 0.78 and 1.90, respectively. Item 6 (‘My birth partner/husband couldn’t have supported me any better’) (outfit MnSq = 1.74, outfit z-std = 6.9, PtMea Corr = − 0.02) and Item 5 (‘My birth partner/husband helped me to understand what was going on when I was in labor’) (outfit MnSq = 1.65, outfit z-std = 2.9, PtMea Corr = 0.13) are misfit. Item 6 needs to be re-examined for removal or rephrasing, while Item 5 correlates poorly with the construct. Eight persons have the most misfitting response strings based on Item 6 but extremely trivial differences were found in the parameter estimates after refitting the model. Ten items easily endorse satisfaction from the respondents.ConclusionThe WOMBLSQ tested among postpartum women has been shown to have a good person reliability index and a high item reliability index. Items 5 and 6 do not contribute in the construction of scale but not degrading and suggested for refining. The spread of item difficulty should be improved in the future modification of items.

Development of science assessment instruments based on entrepreneur

This study aims to produce (1) an instrument of assessment of learning outcomes for entrepreneurship-based science and (2) a questionnaire of student entrepreneurial interest. This study is a research and development (RD) with reference to the modified Borg Gall. The research period was from August 2019 to November 2019 at SMP Negeri 3 Pemalang involving a total of 307 students. The content validation index by experts with V'Aiken for the test instrument for learning outcomes based on entrepreneurship and student questionnaire interest in entrepreneurship are 0.91 and 0.87, respectively. The results show that at the trial stage based on the MNSQ mean INFIT of 1.00 criteria and the standard deviation of 0.00, it is evident that both the tests and questionnaires are both fit with the PCM 1 PL model. Based on the lowest and highest thresholds of INFIT MNSQ, i.e.: 0.77 to 1.30, the instrument of the science-based learning entrepreneurship and questionnaire interest in student entrepreneurship produce 16 and 8 valid items with reliabilities of 0.89 and 0.85, respectively. So it can be concluded that the developed instrument has a high validity and reliability index, so it is ready to be used by science teachers of SMP or MTs for assessment.

Reliability analyses of shear strengthened RC beams with externally bonded fiber reinforced polymer

Different methods for the estimation of fiber reinforced polymer (FRP) contribution to shear strength in reinforced concrete (RC) beams were evaluated and compared through reliability analysis using FRP rupture and debonding failure functions. The carbon fibers properties were obtained through laboratory tests allowing to define the probability distribution function of the fiber tensile strength and elastic modulus. Uncertainties associated with the load, material properties were taken into account in order to compare two standards (ACI 440.2R and CNR-DT200) and two more sophisticated methods proposed in the literature. The Monte Carlo method and an improved first order reliability method (FORM iHLRF) were used to determine the structural reliability of an RC beam with externally bonded FRP. The results show the effects of the different mechanical methods in the reliability indices of the strengthened RC beam. The performance function related to FRP rupture presented a much higher reliability index than the other failure function related to FRP debonding for all four methods. A reliability-based design optimization was also performed to measure the effects of the assumptions and uncertainties associated with each method regarding the design variable (width of the reinforcement) for the same target reliability. The most conservative methods were the standards (ACI 440.2R and CNR-DT200), leading to a wider FRP reinforcement than the ones estimated by the other methods for the same reliability safe level design.

AN EXPLORATORY FACTOR ANALYSIS (EFA) OF BUILDING INFORMATION MODELLING USES TOWARDS BIM ADOPTION FOR BIM-BASED PROJECTS: CONTRACTORS PERSPECTIVE

Building Information Modelling (BIM) is a modelling technology that is associated with a set of processes to produce, communicate, and analyse digital information in a construction life-cycle. BIM is important for various stakeholders including contractors to adopt in order to boost project performance. However, the previous report showed that the adoption of BIM among contractors is still low compared to other stakeholders. This is because the contractors have no profound understanding of BIM and its requirements. Hence, the purpose of this paper is to determine the uses of BIM from the contractors’ perspective by adopting BIM from the planning phase to the construction phase as well as to determine the reliability and validity of the research instrument. A component questionnaire on Building Information Modelling (BIM) had been developed to determine the uses of BIM among contractors in Malaysia. This study was conducted in Selangor and Kuala Lumpur, which involved 100 respondents, in order to affirm the development of valid and reliable instrument. The reliability test and Exploratory Factor Analysis (EFA) were used to measure the instrument to produce an empirical verification of the validity and reliability of the questionnaires. Literature search and a pilot study on contractors involved in BIM-based projects were carried out from which the appropriate items were extracted. From these, twenty (20) items remained and were to be completed in the study: fourteen (14) items were BIM uses from the planning to the designing phase and six (6) items were BIM uses in the construction phase. The fourteen (14) items used to measure from the planning to the design phase comprised existing condition, cost estimation, phase planning, programming, site analysis, design review, design authoring, structural analysis, lighting analysis, energy analysis, mechanical analysis, other engineering analysis, sustainability evaluation (LEED), and code validation. Meanwhile, six (6) BIM uses for the construction phase consisted of 3D coordination, site utilizing planning, construction system design, digital fabrication, 3D control and planning, and record model. All twenty (20) items had high reliability index value, which was between 0.7 and 0.8. Accordingly, the factor analysis outcome resulted in two (2) components, obtained with 40.938% of cumulative variance, while the factor loading for each component ranged from 0.5 to 0.7, reflecting the dimension of the two (2) components. Hence, the result obtained proved that the instrument of this study had high reliability and validity.

Elaboration, validation and reliability of the safety protocol for pediatric thirst management.

Objective:to elaborate, validate and evaluate the reliability of the Safety Protocol for Pediatric Thirst Management in the immediate postoperative period.Method:methodological quantitative research, based on the assumptions on measurement instrument development. The protocol was elaborated after literature review, interview with specialists and observation of the child’s anesthetic recovery. The judges performed theoretical validation through apparent, semantic and content analysis. Content Validity Index was calculated for content validation, whose minimum established concordance was 0.80. Protocol’s reliability was evaluated in children between three and 12 years old in the Post Anesthesia Care Unit.Results:in its final version, the protocol consisted of five evaluation criteria: level of consciousness, movement, airway protection, breathing pattern and nausea and vomiting. It presented easy comprehension and relevant content, and all indexes exceeded the minimum agreement of 0.80. Pairs of nurses applied the protocol 116 times to 58 children, resulting in a high reliability index (kappa general = 0.98)Conclusion:the unprecedented protocol developed is valid and is a useful tool for use in anesthetic recovery, aiming to assess safety for reducing the thirst of infant patients.

Pre-service Teachers' Adversity Quotient and Proficiency in English Language and Mathematics

A descriptive-correlational research was conducted to assess the level of adversity quotient, Mathematics proficiency, and English language proficiency of 103 pre-service teachers in one State University in the Philippines. Stoltz' Adversity Quotient (AQ) questionnaire was adopted and modified which reported a high reliability index (Cronbach alpha = 0.93). The researcher also used the content-validated mathematics and English Language proficiency tests. Descriptive statistics and Pearson correlation coefficient were used as statistical tools. Most of the respondents are 19-22 year old female pre-service teachers. General elementary pre-service teachers outnumbered the pre-elementary majors. The full-implementation of K-12 program tempted pre-service teachers to pursue skill-based programs such as MAPEH and TLE. Pre-service teachers reported a good control and better ownership of adversity but less reach and endurance of such. Almost 73% of pre-service teachers performed poorly in mathematics and almost 54% obtained low scores in the English language proficiency test. There are inverse relations between control and mathematics proficiency and endurance, and mathematics proficiency. It means that even they have a higher control in adversity or lesser endurance of the adverse effect of difficulties, they do not guarantee better mathematics performance. At .05 level of significance, a negative correlation between these variables is evident. Since majority of the respondents performed poorly in Mathematics, an intervention program may be crafted and proposed in the College of Teacher Education. The existing Intensive English Language Proficiency program may be strengthened since it lessens the number of pre-service teachers who are low competent in this subject area.

Measuring Students’ Understanding in Probability Concept between Two Different Cohort using Rasch Measurement

The students’ level of proficiency in any particular course is individually distinctive. Therefore, it is necessary for the educators to be able to address their student’s level of ability in understanding of the course they enrolled. Particularly, educators should be able to design a set of questions which suits the level of their students’ ability. For this reason, this study is concentrated on identifying the level of student’s ability in understanding probability concepts that has been included in the statistics course (STA150: Probability and Statistics 1). This course was enrolled by two groups of students (Group A and Group B) from the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perak branch. Group A enrolled the course in December 2015 until March 2016 whilst Group B enrolled in June until November 2016 sessions. Since the aims of this study are to investigate the difference in students’ conceptual knowledge and understanding of probability concepts, as well as to examine which concepts were found most difficult by the students, hence the Rasch measurement approach was used to explore those aims. An instrument consists of 20 items in a test based on the “Counting Rule” topic was formed by an experienced lecturer to measure the level of student’s ability between the two groups. Based on the findings, it was found that there is a high reliability index of 0.93 (Group A) and 0.88 (Group B) which suggests the suitability of the instrument developed in this study to be replicated to the other samples, even though, the person student’s responses to the items for both groups appeared differently in terms of their difficulties in understanding the probability concepts which represents the student’s ability on this particular topic.

How Creating Learning Outcomes Are Affecting Performance in Geometry of Students for Senior Secondary Schools in Science, Technology, Education, Mathematics and Society Domain

This study aims to find how performance of students from senior secondary school is getting affected by creative learning outcomes in Maiduguri Metropolis, Borno State, Nigeria. A comparison group before-after quasi-experimental design has been adopted to test hypothesis. One hundred and eighty students have been selected as sample from a population of four hundred and sixty (460) in three senior secondary schools using stratified randomly sampling technique. A high reliability index (.675) had been noticed while validating using Geometry Performance Test (GPT) through test retest while conducting pilot study. Mean, standard deviation and Analysis of Covariate (ANCOVA) had been used as statistical tools. As outcome this study revealed that creative learning outcomes significantly affected the performance of students. As a reason the application of geometry-based knowledge had been highlighted. It had been highlighted that without creative learning outcomes students face severe problems in science, technology, education and mathematics related problems solving. As a recommendation practice of creative learning had been suggested to find solution against poor geometry performance in Nigeria.

Optimization of strain measurement procedure based on fuzzy quality evaluation and Taguchi experimental design

The reliability of the measurement system, accuracy, and precision are significant criteria at any measurement procedure. Strain gage sensors are one of the tools to measure the strain of structures in engineering applications. Different controllable and extraneous parameters will change the accuracy and precision of the strain gauges. As a result, it is valuable to investigate the most significant parameters and the percentage of their contributions affecting the strain measurement. This paper presents the multi-objective optimization in strain gauge measurements to determine the Reliability and Noise indices. The best set of parameters with a high-reliability index (which means low noise index) for strain measurement based on two significant objectives of accuracy and precision are evaluated. The significant parameters, their optimal levels and percentage of contributions are identified according to the Taguchi and Fuzzy Analytic Hierarchy Process (FAHP) with Technique for the Order Performance by its Similarity to the Ideal Solution (TOPSIS) methods. To obtain this evaluation, three levels (L1, L2, and L3) of temperature (P1), the length of wires (P2), and the point of applied force (P3) are considered. This configuration leads to L9 orthogonal array of Taguchi approach based on the number of parameters and their levels. The triangular membership function for the weightiness of accuracy and precision is used via AHP. By using the Taguchi method, the optimum set of parameters are identified as P1 at L1, P2 at L2, and P3 at L3 to have a higher reliability index compared to trial 8. By applying the optimum design of experiment, it is found that the reliability index is 95%. The results also show that the highest reliability index is related to trial 8 with 87.65% reliability. Finally, the combination of FAHP and TOPSIS with Taguchi method for multi-objective optimization is introduced and proposed as a practical and useful model to determine the best set of parameters with the highest reliability index in strain measurement.

The Prosthetic Mobility Questionnaire, a tool for assessing mobility in people with lower-limb amputation: validation of PMQ 2.0 in Slovenia.

The aim of this study was to examine the metric properties of the Prosthetic Mobility Questionnaire, an outcome measure of mobility following lower-limb amputation, in Slovene outpatients undergoing rehabilitation. The 12-item Prosthetic Mobility Questionnaire was administered to 148 Slovene adults (74% men) with unilateral lower-limb amputation since >12 months and regularly wearing a prosthesis. The psychometric analysis included classical test theory methods and Rasch models. Rasch analysis disclosed two pairs of locally dependent items (same task but in opposite directions: walk up/down stairs; walk up/down a hill). Thus, we devised a new version (PMQ 2.0) assessing all 12 Prosthetic Mobility Questionnaire items but calculating the global score on only 10, i.e. considering-for each pair of locally dependent items-just the item with worst performance. The PMQ 2.0 demonstrated correct functioning of rating scale categories, construct validity (item fit, hierarchy of item difficulties), convergent validity, high-reliability indices and unidimensionality. In conclusion, the new 10-item PMQ 2.0 shows good reliability and validity, and an excellent overall metric quality for measuring perceived mobility capabilities in people with lower-limb amputation.

An Improved CPTu-based Method to Estimate Jacked Pile Bearing Capacity and Its Reliability Assessment

This paper presents an improved method for predicting the bearing capacity of single jacked pile based on piezocone penetration test (CPTu) data which contain tip resistance (qt), side friction (fs) and excess dynamic pore water pressure (u2). Firstly, the average value of qt was determined to calculate the pile unit base resistance according to the influence zone of the logarithmic spiral concerning the effect of soil types. Secondly, fs and u2 were used to calculate the pile unit shaft resistance considering the effect of friction fatigue. The pile jacking force was obtained in terms of unit base resistance and unit shaft resistance. The ultimate bearing capacity was finally determined using pile jacking force multiplied by a force ratio denoted as Rf. The ultimate bearing capacities calculated for two case projects show a good agreement with the measured results, which indicates that the proposed method is feasible and effective. Reliability assessment was carried out on the proposed method and other five estimation methods with respect to the reliability index obtained by advanced first-order second-moment (AFOSM) method. Comparison result showed that the method proposed in this study has a higher reliability index over other five existing methods. Therefore, the proposed method can be used as a reliable alternative to predict the bearing capacity in the engineering practice of jacked pile foundation.

Determination of Optimal Load-Resistance Factors for Gravitational Loads-Governed Limit State of Korean Bridge Design Code

This paper presents an optimization scheme to determine the optimal load-resistance factors for a gravitational loads-governed limit state in the Korean Highway Bridge Design Code. The random variables in the limit state function are normalized to the total nominal load effect, and the optimization is formulated using the normalized variables. The objective function is defined as an L2-norm of errors between the design strength obtained by the load-resistance factors and the target strength evaluated by the inverse reliability analysis for the target reliability index. Two different types of optimization, reference and sequential optimizations, are proposed. The former is to determine absolute optimal load-resistance factors, while the latter is proposed to obtain the factors suitable for actual design codes. The reference optimization results in load-resistance factors that yield a more uniform reliability index than the sequential optimization. The reliability levels provided by the proposed load-resistance factors are presented in detail and compared with those obtained by the factors in the Korean Highway Bridge Design Code. It is shown that the factors in the code lead to a much higher reliability index than the target while the optimal load-resistance factors yield a reliability index within ± 5% error bounds to the target reliability index.

Multi-Reservoir System Optimization Based on Hybrid Gravitational Algorithm to Minimize Water-Supply Deficiencies

The growing prevalence of droughts and water scarcity have increased the importance of operating dam and reservoir systems efficiently. Several methods based on algorithms have been developed in recent years in a bid to optimize water release operation policy, in order to overcome or minimize the impact of droughts. However, all of these algorithms suffer from some weaknesses or drawbacks – notably early convergence, a low rate of convergence, or trapping in local optimizations – that limit their effectiveness and efficiency in seeking to determine the global optima for the operation of water systems. Against this background, the present study seeks to introduce and test a Hybrid Algorithm (HA) which integrates the Gravitational Search Algorithm (GSA) with the Particle Swarm Optimization Algorithm (PSOA) with the goal of minimizing irrigation deficiencies in a multi-reservoir system. The proposed algorithm was tested for a specific important multi-reservoir system in Iran: namely the Golestan Dam and Voshmgir Dam system. The results showed that applying the HA could reduce average irrigation deficiencies for the Golestan Dam substantially, to only 2 million cubic meters (MCM), compared to deficiency values for the Genetic Algorithm (GA), PSOA and GSA of 15.1, 6.7 and 5.8 MCM respectively. In addition, the HA performed very efficiently, reducing substantially the computational time needed to achieve the global optimal when compared with the other algorithms tested. Furthermore, the HA showed itself capable of assuring a high volumetric reliability index (VRI) to meet the pattern of water demand downstream from the dams, as well as clearly outperforming the other algorithms on other important indices. In conclusion, the proposed HA seems to offer considerable potential as an optimizer for dam and reservoir operations world-wide.

Analysis of the Psychometric Properties of the Motivation and Strategies of Learning Questionnaire—Short Form (MSLQ-SF) in Spanish Higher Education Students

Background and methods: The aim of this research was to analyze the psychometric properties of the Motivation and Learning Strategies Questionnaire-Short Form (MSLQ-SF), using exploratory techniques with university students. The sample was formed by 597 participants aged between 19 and 28 years old (M = 23.04; SD = 3.71), with 156 (26.1%) being male and 441 (73.9%) being female. The exploratory factor analysis was conducted using the FACTOR program. Results: The results indicate that the questionnaire provides high reliability indexes to α = 0.70 for all included dimensions. The factor describing intrinsic orientation towards goal setting was removed following exploratory analysis, while other factors adjusted satisfactorily. All factors were correlated directly and positively (p < 0.01). Conclusions: It can be concluded that the MSLQ-SF fulfils the validity and reliability specifications for use with university students of social sciences and health sciences.