Perfectionism and efficiency: Accuracy, response bias, and invested time in proof-reading performance

Investigating problem-solving performance, Ishida, H. (2005: College students’ perfectionism and task-strategy inefficience: Why their efforts go unrewarded? Japanese Journal of Social Psychology, 20, 208–215) found high levels of perfectionism were associated with lower efficiency. Aiming to replicate and further explore this finding, the present study investigated how two dimensions of perfectionism (high standards, discrepancy between expectations and performance) predicted efficiency in proof-reading performance. N = 96 students completed a proof-reading task involving the detection of spelling, grammar, and format errors. When error-detection performance was subjected to signal detection analysis, high standards correlated positively with the number of incorrectly detected errors (false alarms). Moreover, when task-completion time was taken into account, high standards were negatively correlated with efficiency (accuracy/time). In comparison, discrepancy correlated negatively with the number of correctly detected errors (hits) and positively with a conservative response bias. The findings show that perfectionistic standards are associated with reduced efficiency demonstrating the importance of considering invested time, errors, and response bias when investigating the relationship between perfectionism and performance

Friendships and Favouritism on the Schoolground - A Framed Field Experiment

We present experimental evidence on favouritism practices. Children compete in teams in a tournament. After the first round of a real effort task, children indicate which group member they would prefer to do the task in the second round, for the benefit of the team. Friends are much more likely to be chosen than others after controlling for performance. We also find that children who are favoured by their friend subsequently increase performance. Consequently, favouritism does not hurt efficiency. These results show the importance of observing performance ex post in order to properly evaluate the efficiency implications of favouritism

ANALISIS PENGALAMAN PENGGUNA PADA APLIKASI SANG KURIR DENGAN MENGGUNAKAN USABILITY TESTING DAN USER EXPERIENCE QUESTIONNAIRE (UEQ)

Sang Kurir merupakan aplikasi lokal yang dikembangkan di Desa Pesanggaran Kabupaten Banyuwangi. Aplikasi ini menyediakan jasa pelayanan seperti delivery makanan , layanan ojek dan jasa lainya yang memudahkan masyarakat Pesanggaran. Satu satu keberhasilan aplikasi mampu memberikan pengalaman yang baik dan respon positif dari para pengguna, sehingga untuk mengetahui pengalaman pengguna pada Sang Kurir perlu adanya analisis User Experience Questionnaire Experience dengan melakukan pengujian Usability Testing Testing menggunakan metode Scenario Task dan pengukuran User Experience Questionnaire Experience Questionnaire (UEQ). Pada pengujian Scenario Task terdapat 5 tugas yang harus dikerjakan oleh 10 responden sesuai dengan 4 parameter Scenario Task (Number of Click During Task Completion, Task Succes Rate, Error During Task Perfomance dan Time Per Completed Task). Pada pengukuran UEQ terdapat 6 skala (AttractivenessDaya Tarik, Efficiency, Percpicuit, Dependability, Stimulation, dan Novelty) dengan 26 item pertanyaan dan 85 responden . Dari hasil pengujian Scenario Task pada Number of Click During Task Completion rata-rata 5.18, parameter Task Succes Rate mendapatkan 96% keberhasilan, hasil Error During Task Perfomance mendapatkan persentase 13.75%. Dan hasil rata-rata Time Per Completed Task 22.04. Kemudian untuk pengukuran User Experience Questionnaire Experience Questionnaire berada pada level Benchmark mendapatkan level Above (Diatas Rata-rata) untuk semua skalanya. Sehingga pada hasil analisis aplikasi Sang Kurir mendapatkan respon yang baik bagi para pengguna

Quality assurance for the ALICE Monte Carlo procedure

We implement the already existing macro,$ALICE_ROOT/STEER /CheckESD.C that is ran after reconstruction to compute the physics efficiency, as a task that will run on proof framework like CAF. The task was implemented in a C++ class called AliAnalysisTaskCheckESD and it inherits from AliAnalysisTaskSE base class. The function of AliAnalysisTaskCheckESD is to compute the ratio of the number of reconstructed particles to the number of particle generated by the Monte Carlo generator.The class AliAnalysisTaskCheckESD was successfully implemented. It was used during the production for first physics and permitted to discover several problems (missing track in the MUON arm reconstruction, low efficiency in the PHOS detector etc.). The code is committed to the SVN repository and will become standard tool for quality assurance.Comment: 7 pages, 7 figure

Effects of corrective feedback on EFL speaking task complexity in China’s university classroom

Corrective feedback (CF) and task complexity are two important pedagogical topics in second language acquisition research in recent years, but there is few research investigating effects of CF on speaking task complexity in China’s university classroom settings. This research, through conducting different versions of speaking task experiments among 24 university students in China, explores the effect of teachers’ CF on English as a Foreign Language (EFL) speaking task complexity. According to the analysis of first-hand data, this research finds CF has different effects on EFL oral production with different task complexity. In simple speaking task, the effects of five kinds of CF (from largest to smallest) are listed as follows: clarification quest, metalinguistic feedback, recast, repetition and confirmation check. Regarding complex speaking task, the effects of five categorized CF are ranked from largest to smallest as follows: metalinguistic feedback, confirmation check, recast, clarification request and repetition. Improving to provide CF in pedagogical practice is an important contribution to promote EFL speaking task, so, on the basis of above research results, appropriate ways and forms of providing CF are expected to promote efficiency of CF in EFL classroom under the context of Chinese university classroom

Usefulness of VRML building models in a direction finding context

This paper describes an experiment which aims to examine the effectiveness and efficiency of a Virtual Reality Modelling Language (VRML) building model compared with equivalent architectural plans, for direction finding purposes. The effectiveness and efficiency issues being primarily investigated were number of tasks completed overall and task completion times. The experiment involved a series of tasks where participants had to find a number of locations/objects in a building unknown to them at the outset of the experiment. Statistically significant results are presented for the benefit of the research community, law enforcement officers and fire fighters where it is clear that in this context, the VRML model led to better task completions than the equivalent architectural plans. Regarding the task completion times, no statistical significance was found. Given the current climate of security issues and terrorist threats, it is important that law enforcement officers have at their disposal the best information possible regarding the layout of a building, whilst keeping costs down. This also applies to fire fighters when rescuing victims. This experiment has shown that a VRML model leads to better task completions in direction finding