A common challenge in studying Italian parliamentary discourse is the lack of accessible, machine-readable, and systematized parliamentary data. To address this, this article introduces the ItaParlCorpus dataset, a new, annotated, machine-readable collection of Italian parliamentary plenary speeches for the Camera dei Deputati, the lower house of Parliament, spanning from 1948 to 2022. This dataset encompasses 470 million words and 2.4 million speeches delivered by 5830 unique speakers representing 77 different political parties. The files are designed for easy processing and analysis using widely-used programming languages, and they include metadata such as speaker identification and party affiliation. This opens up opportunities for in-depth analyses on a variety of topics related to parliamentary behavior, elite rhetoric, and the salience of political themes, exploring how these vary across party families and over time.

This paper uses observations collected “on the ground” inside North Korea to argue that everyday life matters when researching North Korea and that one method of carrying out such research is to travel there as a tourist.

Until recently, statistical consultants did not have to worry about being replaced by artificial intelligence. There was no statistical analogue to ‘Dr Google’ before ChatGPT arrived on the scene. Although ChatGPT (most of the time) adequately responds to basic queries such as the assumptions of different statistical tests or summarises relevant manuals on statistical software providing clear instructions with point-and-click software such as SPSS, there are many important aspects of statistical consulting that ChatGPT does not cover. This tutorial article is about these aspects: a summary of what statistical consulting is, its purpose and possible settings during the empirical research cycle, the role and responsibilities of the consultant and the client, how to ensure a good consulting experience, how to prepare for a consulting session, typical questions and more. The article was written for researchers who are considering contacting a statistician for the first time and aims to facilitate a good and fruitful consulting experience for all parties involved.

Though there has been a marked increase in research driven by posthumanist theory and inspired by the common worlds research approach, practical approaches to conducting this type of research have not been well documented and shared within the literature. This article explores the process of navigating the planning and conducting of research that aims to think with more-than-human worlds. Three research methods that were applied in a study involving young children in a forest school program are described: (1) non-participant observation, (2) observing the park through “sit spots,” and (3) the use of wearable cameras to film a different perspective. I explore each of these as a way to guide other researchers grappling with the tensions and challenges of conducting posthumanist research. Any combination of these methods could be considered within research that aims to disrupt the dominant anthropocentric lens in early childhood education for sustainability and beyond.

Instructed second language acquisition (ISLA) is one of the fastest growing areas of applied linguistics. With this tremendous potential comes great responsibility for robust, ethical, and transparent research methods that are responsive to and tailored for the ISLA domain. This article highlights unique characteristics of ISLA research, provides a current landscape of methodological trends within ISLA, and makes specific recommendations for research methods in future ISLA studies. I begin by briefly operationalizing ISLA and articulating some of the main research questions and overarching goals within ISLA, as well as the nature and ultimate aims of ISLA research. Next, the most unique methodological challenges for ISLA research are reviewed, including the use of intact classes and heterogeneous small participant pools, cross-sectional studies, using one’s own students for research, and individual differences. This is followed by a discussion of several current trends in ISLA research methods, including examining the process of learning/development, conducting practice-based research, expanding our conceptualization of instructional contexts, replication studies, especially with bi/multilingual learners in diverse contexts, refining our methods with an eye for ethics and justice, equity, diversity, and inclusion, and conducting open, transparent research that has potential for real-world impact and which dialogues with multiple stakeholders at all stages. I conclude by highlighting that, as ISLA continues as an independent research domain, the development and implementation of strong research methods tailored for ISLA is critical for research integrity and to make the greatest strides in understanding language acquisition processes and effective pedagogical interventions in diverse instructional contexts.

Dyads can be challenging to recruit for research studies, but detailed reporting on strategies employed to recruit adult–adolescent dyads is rare. We describe experiences recruiting adult–youth dyads for a hypertension education intervention comparing recruitment in an emergency department (ED) setting with a school-based community setting. We found more success in recruiting dyads through a school-based model that started with adolescent youth (19 dyads in 7 weeks with < 1 hour recruitment) compared to an ED-based model that started with adults (2 dyads in 17 weeks with 350 hours of recruitment). These findings can benefit future adult–youth dyad recruitment for research studies.

Positionality statements have increasingly become the norm in many strands of social science research, including applied linguistics. With reference to current research, theory, and the author’s own work, this paper reviews some of the promises and perils of such statements, including their performativity and lack of reflexivity. The author concludes by arguing that positionality statements need to offer both more and less, to be better targeted, and be more effectively and widely utilized within the field of applied linguistics.

High-quality replication studies are widely understood to be critical to the growth and credibility of our discipline, as shown in commentaries and discussion since the 1970s, at least. Nevertheless, misunderstandings and limitations in the aims, designs, and reporting of replication research remain, thus reducing the usefulness and impact of replications. To address this issue and improve the rigor, quality, and conduct of replication studies in applied linguistics, a new standard for reporting replication studies that captures several critical features of replication research not discussed in current reporting guidelines is proposed. Importantly, this standard applies basic expectations in replication reporting so that outcomes can be better understood and evaluated. By applying this standard, replication studies will better meet their aims to confirm, consolidate, and advance knowledge and understanding within applied linguistics and second language research. In addition, readers will more easily understand how the replication study was carried out and be able to better evaluate the claims being made.