Partial Identification of Answer Reviewing Effects in Multiple-Choice Exams

Does reviewing previous answers during multiple-choice exams help examinees increase their final score? This article formalizes the question using a rigorous causal framework, the potential outcomes framework. Viewing examinees’ reviewing status as a treatment and their final score as an outcome, the article first explains the challenges of identifying the causal effect of answer reviewing in regular exam-taking settings. In addition to the incapability of randomizing the treatment selection (reviewing status) and the lack of other information to make this selection process ignorable, the treatment variable itself is not fully known to researchers. Looking at examinees’ answer sheet data, it is unclear whether an examinee who did not change his or her answer on a specific item reviewed it but retained the initial answer (treatment condition) or chose not to review it (control condition). Despite such challenges, however, the article develops partial identification strategies and shows that the sign of the answer reviewing effect can be reasonably inferred. By analyzing a statewide math assessment data set, the article finds that reviewing initial answers is generally beneficial for examinees.     

Influence of Type D personality on quality of life in university students: The mediating effect of health-promoting behavior and subjective health status

This study aimed to test a hypothetical path model estimating the influence of Type D personality on health-promoting behaviors (HPB), subjective health status, and quality of life (QoL) in university students, and to verify the mediating effects of HPB and subjective health status between Type D personality and QoL. A structural equation model involving 380 university students was used. Data were collected between November and December 2018 via structured questionnaires and analyzed using SPSS 25.0 and Amos 23.0. The model's fit indices were adequate. Type D personality had a direct effect on QoL and an indirect effect on QoL via HPB and subjective health status. Type D personality, HPB, and subjective health status explained 67.6% of the total variance in QoL. Intervention programs that consider Type D personality, HPB, and subjective health status may be useful to improve university students' QoL.     

Applying the communication theory of Diffusion of Innovations to economic sciences: a response to the ‘Using gossips to spread information’ experiments conducted by the 2019 Nobel Laureates

ABSTRACT

Drs Abhijit Banergee, Esther Duflo, and Michael Kremer won the 2019 Nobel Prize in Economic Sciences for their remarkable series of large-scale field experiments to lessen global poverty. The main theoretical framework that they employed was the diffusion of innovations research and practice paradigm (DOI) which has had a long presence in communication research dating back to the 1940s. Here, we reviewed the Nobel laureates’ article, ‘Using gossips to spread information: Theory and evidence from two randomized controlled trials,’ that is illustrative of how economists applied the communication theory of diffusion of innovations to their projects of social change. The present article poses questions and makes recommendations for similar future projects from a communication perspective.     

Effects of upper and lower body wearable resistance on spatio-temporal and kinetic parameters during running

ABSTRACT

Wearable resistance training involves added load attached directly to the body during sporting movements. The effects of load position during running are not yet fully established. Therefore, the purpose of this research was to determine spatio-temporal and kinetic characteristics during submaximal running using upper, lower and whole-body wearable resistance (1–10% body mass (BM)). Twelve trained male runners completed eight 2-min treadmill running bouts at 3.9 m/s with and without wearable resistance. The first and last bouts were unloaded, while the middle 6 were randomised wearable resistance conditions: upper body (UB) 5% BM, lower body (LB) 1%, 3%, 5% BM and whole body (WB) 5%, 10% BM. Wearable resistance of 1–10% BM resulted in a significant increase in heart rate (5.40–8.84%), but minimal impact on spatio-temporal variables. Loads of 5% BM and greater caused changes in vertical stiffness, vertical and horizontal force, and impulse. Functional and effective propulsive force (2.95%, 2.88%) and impulse (3.40%, 3.38%) were significantly (p < 0.05) greater with LB5% than UB5%. Wearable resistance may be used to increase muscular kinetics during running without negatively impacting spatio-temporal variables. The application of these findings will vary depending on athlete goals. Future longitudinal studies are required to validate training contentions.     

Implementing the SENCo system in Hong Kong: an initial investigation

Monitoring mechanisms of support services for students with special needs can be broadly classified as external and internal. Resembling the UK model, Hong Kong has adopted an internal mechanism through the establishment of the SENCo post. This investigation, written by Dr Kim Fong Poon‐McBrayer, of the Hong Kong Institute of Education, explores how SENCos understand the policy intention of their roles, what the role entails in practice, and what work conditions are usual for participants. This qualitative study involved semi‐structured interviews to probe SENCos' experiences. Findings reveal that SENCos assume management but not leadership roles in special educational needs provision. Policy deviation, and the prevalent autocratic leadership style across schools in Hong Kong, are the key contributors to conditions seen as unsatisfactory, of overwork, of the inadequate planning of provision, and of the need for professional and clerical support. It is concluded that policymakers can make improvements through implementing practical training in participatory governance for headteachers, developing a training model for SENCos, and providing SENCos with additional personnel resources. Further studies to gain a fuller picture of the organisational contexts are recommended.     

The Impacts of Library Services on Interlibrary Loan Requests Canceled due to Local Availability

Abstract

Interlibrary loan (ILL) services receive requests for resources that are available locally and form a major portion of canceled requests. The purpose of this study is to examine the relationship between requests canceled due to local availability and three aspects to identify impacts on ILL. The authors explored library service aspects such as collection format, the link resolver knowledge base, and discovery system functionality for potential influence on requests for locally available resources. Quantitative methods were used to identify evidence of different aspects’ impact through analysis of ILL borrowing request data. The most important finding was that the discovery system had impact on ILL services by improving retrievability of locally available resources published recently. The results suggest that a modern discovery system can efficiently provide more relevant results sourced from a carefully curated set of authoritative resources, save users’ time to access available materials, and reduce library staff members’ time and effort. This study will be helpful to libraries through its analysis of library services that impact the cancelation of ILL requests due to local availability and how those services may influence service improvement.     

Using computer vision techniques on Instagram to link users’ personalities and genders to the features of their photos: An exploratory study

Instagram and other photo-based social networking sites have emerged as a popular medium. Previous studies mainly focused on social media texts, but the current study deals with the relationships between the characteristics of Instagram users and the features of their photos. The Big Five personality traits and gender were employed as the variables for user characteristics. Content category, the number of faces, the emotions on the faces, and the pixel derived features were employed as the variables for photo characteristics. An online survey of 179 university students was conducted to measure user characteristics, and 25,394 photos in total were downloaded and analyzed from the respondents’ Instagram accounts. Results suggested that content category is associated with extraversion and gender of users. The number of faces is associated with extraversion, agreeableness, and openness of users. Extraversion, agreeableness, and openness of users were partly associated with emotions expressed on the faces in their photos. Correlations were observed among some pixel features and extraversion, agreeableness, conscientiousness, and gender of users. It was also observed that the Big Five personality traits, except for gender, can be predicted by above variables. Implications and limitations are discussed and suggestions for future research are suggested.     

Analyzing the discriminative attributes of products using text mining focused on cosmetic reviews

Consumers evaluate products through online reviews, in addition to sharing their product experiences. Online reviews affect product marketing, and companies use online reviews to investigate consumer attitudes and perceptions of their products. However, when analyzing a review, it is often the case that specific contexts are not taken into consideration and meaningful information is not obtained from the analysis results. This study suggests a methodology for analyzing reviews in the context of comparing two competing products. In addition, by analyzing the discriminative attributes of competing products, we were able to derive more specific information than an overall product analysis. Analyzing the discriminative attributes in the context of comparing competing products provides clarity on analyzing the strengths and weaknesses of competitive products and provides realistic information that can help the company's management activities. Considering this purpose, this study collected a review of the BB Cream product line in the cosmetics field. The analysis was sequentially carried out in three stages. First, we extracted words that represent discriminative attributes by analyzing the percentage difference of words. Second, different attribute words were classified according to the meaning used in the review by using latent semantic analysis. Finally, the polarity of discriminative attribute words was analyzed using Labeled-LDA. This analysis method can be used as a market research method as it can extract more information than a traditional survey or interview method, and can save cost and time through the automation of the program.