The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled "Missing data: Our view of the state of the art," currently the most highly cited paper in the history of "Psychological Methods." Much has changed since 2002, as missing data methodologies have continually evolved and improved; the range of…

Propensity score analysis is a statistical method that balances pre-existing differences across treatment conditions achieving a similar condition as randomization and thus, allowing the estimation of causal effects in non-randomized experimental designs. The four stages in propensity score analysis are (1) propensity score estimation, (2)…

The purpose of this paper is to briefly introduce two most common applications of multiple group item response theory (IRT) models, namely detecting differential item functioning (DIF) analysis and nonequivalent group score linking with a simultaneous calibration. We illustrate how to conduct those analyses using the "Stata" item…

A rapidly growing number of algorithms are available to researchers who apply statistical or machine learning methods to answer social science research questions. The unique advantages and limitations of each algorithm are relatively well known, but it is not possible to know in advance which algorithm is best suited for the particular research…

This study aimed to evaluate the national level wrestlers' anaerobic capacity through the preparation and qualification periods for Rio 2016 summer Olympic Games. For this manner, 10 national level freestyle wrestlers' (age 22,10 ± 3,21; weight 64,75 ± 6,34; height 164,31 ± 4,75) anaerobic outputs measured 3 times in three month intervals with…

In Australian Universities, based on a study from 1992 to 2014, the Feedback item has been consistently poorly rated by students. In addition, Biochemistry is a complex STEM subject which many students find difficult and was considered the hardest subject according to a recent study by Antigua medical school in the United States. In this work, a…

Stan is a new Bayesian statistical software program that implements the powerful and efficient Hamiltonian Monte Carlo (HMC) algorithm. To date there is not a source that systematically provides Stan code for various item response theory (IRT) models. This article provides Stan code for three representative IRT models, including the…

Socrative is an online assessment and student response tool that provides opportunities to increase student engagement in the classroom. We used Socrative as an online homework completing platform to increase students' exam scores in physics. To explore the relationships among factors and the educational effectiveness of Socrative, data from 85…

Writing essays and receiving feedback can be useful for fostering students' learning and motivation. When faced with large class sizes, it is desirable to identify students who might particularly benefit from feedback. In this article, we tested the potential of Latent Semantic Analysis (LSA) for identifying poor essays. A total of 14 teaching…

This study had two aims. The first was to explain the process of using the Rasch measurement model to validate tests in an easy-to-understand way for those unfamiliar with the Rasch measurement model. The second was to validate two final exams with several shared items. The exams were given to two groups of students with slightly differing English…

This study investigates the mediatory role of exercise self-regulation role in the relationship between personality traits and anger management among athletes. The statistical population of this study includes all athlete students of Shar-e Ghods College, among which 260 people were selected as sample using random sampling method. In addition, the…

The purpose of this study is to explore school administrations' burnout situation and life satisfaction levels and the relationship between burnout and life satisfaction. The study was designed with the screening model. The research sample consists of 92 school principals and vice principals. Research data was collected with "Maslach Burnout…

This study aims to evaluate the translation quality of two machine translation systems in translating six different text-types, from English to Persian. The evaluation was based on criteria proposed by Van Slype (1979). The proposed model for evaluation is a black-box type, comparative and adequacy-oriented evaluation. To conduct the evaluation, a…

This paper presents the results of two educational experiments carried out to determine whether the process of specifying requirements (catalog-based reuse as opposed to conventional specification) has an impact on effectiveness and productivity in co-located and distributed software development environments. The participants in the experiments…

In this study, the author examined the validity of MATH 105 as a prerequisite to MATH 201. The data for this study was extracted directly from the examination results logic of the university. Descriptive statistics in form of correlations and linear regressions were used to analyze the obtained data. Three research questions were formulated and…