36-item Form Research Articles

Translating the 2030 Agenda into reality through stakeholder engagement

AbstractThis paper analyses the current state and the dynamic evolution of corporate transparency practices in relation to the 2030 Agenda in the context of stakeholder engagement. Considering six key stakeholder groups and 53 information items related to business actions aligned with the 2030 Agenda, data from 5908 companies worldwide corresponding to the period 2015–2019 are analysed by using X‐STATIS to identify which stakeholder groups have a meaningful role in fostering business contribution to the 2030 Agenda. The results show a low level of corporate transparency in relation to business contribution to the 2030 Agenda. Companies are mainly focused on transparency practices aimed at investors and shareholders. Conversely, customers and the environment are the less considered stakeholder groups. European countries are the leaders in this regard, whereas countries such as the United Arab Emirates and Qatar present the worst records in corporate transparency regarding the 2030 Agenda. The findings have a practical value by providing a picture of how companies use Sustainable Development Goal reporting to optimise relationships with key stakeholders.

Effects of age on the neural correlates of encoding source and item information: An fMRI study

The effects of age on encoding-related neural activity predictive of accurate item and source memory judgments were examined with fMRI, with an a priori focus of the inferior frontal gyrus (IFG) and hippocampus. During a scanned study phase, young and older adults viewed a series of pictures of objects and made one of two judgments on each object. At test, which occurred outside of the scanner, an ‘old/new’ judgment on each test item was followed, for those items endorsed old, by a source judgment querying the study task. Neural activity predictive of accurate subsequent item and source memory judgments was identified in bilateral IFG, several other cortical regions and bilateral hippocampus. Cortical effects were graded in the young group (source > item > miss) but predicted item memory only in the older group. Hippocampal effects exclusively predicted source memory, and the magnitude of these effects did not reliably differ between the age groups. In the older group only, IFG and hippocampal encoding effects were positively correlated across participants with memory performance. Similar findings were evident in the extra-IFG regions demonstrating encoding effects. With the exception of the age-dependent relationship identified for hippocampal encoding effects, the present findings are broadly consistent with those from prior aging studies that employed verbal memoranda and tests of associative recognition. Thus, they extend these prior findings to include non-verbal materials and a different operationalization of episodic recollection. Additionally, the present findings suggest that the sensitivity in older adults of IFG encoding effects to subsequent memory performance reflects a more general tendency for cortical encoding effects to predict memory performance in this age group.

Midbrain-Hippocampus Structural Connectivity Selectively Predicts Motivated Memory Encoding.

Motivation is a powerful driver of learning and memory. Functional MRI studies show that interactions among the dopaminergic midbrain substantia nigra/ventral tegmental area (SN/VTA), hippocampus, and nucleus accumbens (NAc) are critical for motivated memory encoding. However, it is not known whether these effects are transient and purely functional, or whether individual differences in the structure of this circuit underlie motivated memory encoding. To quantify individual differences in structure, diffusion-weighted MRI and probabilistic tractography were used to quantify SN/VTA-striatum and SN/VTA-hippocampus pathways associated with motivated memory encoding in humans. Male and female participants completed a motivated source memory paradigm. During encoding, words were randomly assigned to one of three conditions, reward ($1.00), control ($0.00), or punishment (-$1.00). During retrieval, participants were asked to retrieve item and source information of the previously studied words and were rewarded or penalized according to their performance. Source memory for words assigned to both reward and punishment conditions was greater than those for control words, but there were no differences in item memory based on value. Anatomically, probabilistic tractography results revealed a heterogeneous, topological arrangement of the SN/VTA. Tract density measures of SN/VTA-hippocampus pathways were positively correlated with individual differences in reward-and-punishment-modulated memory performance, whereas density of SN/VTA-striatum pathways showed no association. This novel finding suggests that pathways emerging from the human SV/VTA are anatomically separable and functionally heterogeneous. Individual differences in structural connectivity of the dopaminergic hippocampus-VTA loop are selectively associated with motivated memory encoding.SIGNIFICANCE STATEMENT Functional MRI studies show that interactions among the SN/VTA, hippocampus, and NAc are critical for motivated memory encoding. This has led to competing theories that posit either SN/VTA-NAc reward prediction errors or SN/VTA-hippocampus signals underlie motivated memory encoding. Additionally, it is not known whether these effects are transient and purely functional or whether individual differences in the structure of these circuits underlie motivated memory encoding. Using diffusion-weighted MRI and probabilistic tractography, we show that tract density measures of SN/VTA-hippocampus pathways are positively correlated with motivated memory performance, whereas density of SN/VTA-striatum pathways show no association. This finding suggests that anatomic individual differences of the dopaminergic hippocampus-VTA loop are selectively associated with motivated memory encoding.

VGSC-DB: an online database of voltage-gated sodium channels

As an important member of ion channels family, the voltage-gated sodium channel (VGSC/Nav) is associated with a variety of diseases, including epilepsy, migraine, ataxia, etc., and has always been a hot target for drug design and discovery. Many subtype-selective modulators targeting VGSCs have been reported, and some of them have been approved for clinical applications. However, the drug design resources related to VGSCs are insufficient, especially the lack of accurate and extensive compound data toward VGSCs. To fulfill this demand, we develop the Voltage-gated Sodium Channels Database (VGSC-DB). VGSC-DB is the first open-source database for VGSCs, which provides open access to 6055 data records, including 3396 compounds from 173 references toward nine subtypes of Navs (Nav1.1 ~ Nav1.9). A total of 28 items of information is included in each data record, including the chemical structure, biological activity (IC50/EC50), target, binding site, organism, chemical and physical properties, etc. VGSC-DB collects the data from small-molecule compounds, toxins and various derivatives. Users can search the information of compounds by text or structure, and the advanced search function is also supported to realize batch query. VGSC-DB is freely accessible at http://cadd.zju.edu.cn/vgsc/, and all the data can be downloaded in XLSX/SDF file formats.Graphical

Assessment of quality of life in patients with lower limb osteoarthritis

Introduction: Osteoarthritis (OA) is a progressive disease, which directly influences individual’s quality of life (QOL). In current study, we decided to assess the QOL in patients with lower limb OA to find an association between patients’ QOL and demographic factors. Methods: In this cross-sectional study, a total of 203 OA patients aged over 50 years and 200 healthy controls matched with regard to age and gender were included. Short Form 12-item Health Survey (SF-12) was used to evaluate QOL. Results: The mean±standard deviation (SD) age of OA patients and control group was 69.82±11.49 and 68.18±10.54 years, respectively. 63% of patients and 56% of control group were females. Most of SF-12 domains including physical functioning, role physical, general health, social functioning, and role emotional were significantly lower in OA patients compared with the control group (P<0.05). Moreover, bodily pain domain was significantly higher in OA patients compared with the control group (P=0.038). There was a considerable correlation between most SF-12 domains with age and sex (P<0.05); whereas considerable correlation was just noticed between role physical domain with body mass index (BMI) (P<0.001). Additionally, Vitality considerably was associated with marital status (P=0.038). Conclusion: QOL in lower limb OA patients was compared with healthy subjects and this impairment was in association with some demographic factors.

Development and calibration data for the Medication Adherence Item Bank: a new computer adaptive test for persons with type 2 diabetes mellitus.

To develop a new computer adaptive test that evaluates important aspects of medication adherence for persons with type 2 diabetes mellitus. Two hundred and twenty-five people with type 2 diabetes mellitus completed 41 items related to medication adherence. Exploratory analysis supported the essential unidimensionality of the initial item pool. Five items were deleted due to low item-adjusted total score correlations (resulting in 36 items). Confirmatory factor analysis supported the retention of 27 items. A graded response model identified no items for exclusion, based on misfit. No items were flagged for meaningful differential item functioning (DIF). The final item bank is comprised of 27 items; an associated 6-item short form was constructed that balanced both psychometric factors (e.g., item information values) and clinical input. Initial analysis of the simulated CAT and static short form supported both the reliability (i.e., internal consistency and test-retest reliability) and validity (i.e., convergent, discriminant, and known groups) of both administration formats. The new medication adherence item bank provides a reliable and valid assessment of the ability to take medications accurately among people with T2DM; it will be available in early 2023 through healthmeasures.net.

Farmers’ perception of consumer information and adoption intention towards organic rice farming: Evidence from community enterprise in rural Thailand

Organic production has gained increased attention worldwide because of its sustainable way of producing food crops apart from its significant contribution to agricultural development. While some policies and programs encourage rice farmers to adopt organic farming, its uptake is far less than expected, particularly in the rural areas of Thailand. Hence, this study attempts to explain rice farmers’ adoption intention towards organic rice farming, drawing insights from the diffusion of innovations theory, and incorporating consumer information as an important alternative information source. A questionnaire survey was conducted among 201 community enterprise farmers using a purposive sampling technique. Results found that farmers have a generally high-level perception towards consumer information items. These items were further explored using binary logistic regression with the commonly used adoption factors. Results revealed that education level, seed input source, buying price, training attendance, and credit access significantly impacted farmers’ adoption intention. Although farmers have a generally high level of agreement towards consumer information, this factor does not affect their adoption. The findings provide critical insights to the community enterprise and policymakers to fully understand community enterprise farmers’ adoption motives and devise targeted strategies to promote widespread adoption of organic rice farming.

Patient reported outcome measures in anterior cruciate ligament rupture and reconstruction: The significance of outcome score prediction.

Numerous anterior cruciate ligament (ACL) clinical outcome measures exist. However, the result of one score does not equate to the findings of another even when evaluating the same patient group. To investigate if statistically derived formulae can be used to predict the outcome of one knee scoring system when the result of another is known in patients with ACL rupture before and after reconstruction. Fifty patients with ACL rupture were evaluated using nine clinical outcome measures. These included Tegner Activity Score, Lysholm Knee Score, Cincinnati Knee Score, International Knee Documentation Committee (IKDC) Objective Knee Score, Tapper and Hoover Meniscal Grading Score, IKDC Subjective Knee Score, Knee Outcome Survey - Activities of Daily Living Scale (KOS-ADLS), Short Form-12 Item Health Survey and Knee Injury and Osteoarthritis Outcome Score. Thirty-four patients underwent an ACL reconstruction and were reassessed post-operatively. The mean total of each of the nine outcome scores appreciably differed from each other. Significant correlations and regressions were found between most of the outcome scores and were stronger post-operatively. The strongest correlation was found between Cincinnati and KOS-ADLS (r = 0.91, P < 0.001). The strongest regression formula was also found between Cincinnati and KOS-ADLS (R 2 = 0.84, P < 0.001). The formulae produced from this study can be used to predict the outcome of one knee score when the results of the other are known. These formulae could facilitate the conduct of systematic reviews and meta-analysis in studies relating to ACL injuries by allowing the pooling of substantially more data.

Preoperative anxiety and health literacy in patients applying to the anesthesia outpatient clinic

Abstract Background Evaluation of preoperative anxiety and health literacy is important for healthcare professionals to understand the needs and expectations of patients and provide them with the necessary support. The study aimed to evaluate the preoperative anxiety levels of patients who applied to the anesthesia outpatient clinic and its relationship with health literacy. Methods A cross-sectional study was conducted on patients who applied to the anesthesia outpatient clinic of Eskişehir Osmangazi University Medical Faculty Hospital in March 2022. The questionnaire form, which was prepared by making use of the literature, was filled in by face-to-face interview method after obtaining the participants’ verbal consent. The 6 item Amsterdam Preoperative Anxiety and Information Scale (APAIS) in which the scores that can be taken range from 6 to 30 and higher score means higher anxiety was used to assess the level of anxiety, and the 16 item European Health Literacy Scale Short Form was used to assess health literacy. Descriptive statistics, Chi-Square test and Logistic Regression analysis were used to analyze the data. Results In the study group, 197 (50.3%) were female. Their ages ranged from 18 to 86, with a mean of 45.7 ± 17.2 years. The median (min-max) APAIS score was 15 (6-30). There was a moderate negative correlation between the scores obtained from the APAIS and the European Health Literacy Scale Short Form (r= -0.50, p &amp;lt; 0.01). According to the logistic regression analysis, preoperative anxiety was found to be 1.53 (%95 CI; 1.01-2.30) times higher in women, 3.49 (%95 CI; 1.23-9.94) times higher in those with low family income, and 1.61 (%95 CI; 1.07-2.42) times higher in those with type A personality. Conclusions More than half of the patients had preoperative anxiety. The level of preoperative anxiety decreased as the health literacy level increased. Key messages

The animated assessment of theory of mind for people with schizophrenia (AToMS): development and psychometric evaluation.

Theory of mind (ToM) deficits in people with schizophrenia have been reported and associated with impaired social interactions. Thus, ToM deficits may negatively impact social functioning and warrant consideration in treatment development. However, extant ToM measures may place excessive cognitive demands on people with schizophrenia. Therefore, the study aimed to develop a comprehensible Assessment of ToM for people with Schizophrenia (AToMS) and evaluate its psychometric properties. The AToMs was developed in 5 stages, including item formation, expert review, content validity evaluation, animation production, and cognitive interviews of 25 people with schizophrenia. The psychometric properties of the 16-item AToMS (including reliability and validity) were then tested on 59 people with schizophrenia. The newly developed animated AToMS assesses 8 ToM concepts in the cognitive and affective dimensions while placing minimal neurocognitive demands on people with schizophrenia. The AToMS presented satisfactory psychometric properties, with adequate content validity (content validity index = 0.91); mostly moderate item difficulty (item difficulty index = 0.339-0.966); good discrimination (coefficients = 0.379-0.786), internal consistency (Cronbach's α = 0.850), and reliability (intraclass correlation coefficient = 0.901 for test-retest, 0.997 for inter-rater); and satisfactory convergent and divergent validity. The AToMS is reliable and valid for evaluating ToM characteristics in people with schizophrenia. Future studies are warranted to examine the AToMS in other populations (e.g., people with affective disorders) to cross-validate and extend its utility and psychometric evidence.

MACR: Multi-information Augmented Conversational Recommender

Conversational recommender systems (CRS) aim to provide high-quality recommendations through fewer multi-turn conversations. However, because short conversation histories lack sufficient item information, CRSs not only struggle to make accurate recommendations but also lack diversity in the generated responses. Existing CRSs mainly alleviate these problems by introducing external information (e.g., reviews) while ignoring information inside the conversations (e.g., potential category preferences in user utterances). Besides, item introduction is a kind of external information that is more objective and contains more entities than reviews. Therefore, we propose a Multi-information Augmented Conversational Recommender (MACR), which improves the performance of recommendation and response generation by mining the underlying category preferences in users’ utterances and incorporating item introductions. Specifically, we enhance the category associations among entities by constructing a knowledge graph DBMG with category nodes, extracting and encoding the item categories that match the user preferences into the user representation. For item introductions, we extract the entities in them and fuse them into the conversation using an introduction-attentive encoder–decoder. Extensive experiments on the dataset REDIAL show that our MACR significantly outperforms previous state-of-the-art approaches. The source code will be available at https://github.com/zcy-cqut/MACR.

Disclosure of nonfinancial information in integrated reporting: the Brazilians professionals investors's perspective

PurposeThis study aims to investigate the nonfinancial information related to capitals (intellectual, human, social and relationship, and natural) demanded by professional investors in their decision-making process, which can improve the usefulness of integrated reporting for this target audience.Design/methodology/approachA Systematic Literature Review in the Scopus, Web of Science and Google Scholar databases enabled the identification of information demanded by professional investors. This information was presented to experienced Brazilian investors participating in a focus group to align the theory on this topic with professional practice.FindingsThe results allow us to conclude that the focus group participants' perception is aligned with the international literature, both in the importance given to most of the nonfinancial information items identified and in the lack of interest in using integrated reporting in investment decisions. Nonetheless, the general perception of the focus group is not aligned with the literature procedures in terms of social and environmental information.Research limitations/implicationsA study with a larger scope and the adoption of other approaches can contribute to broaden the understanding of the perspectives of professional investors in Brazil, as well as in other regions.Practical implicationsThe authors provide evidence that contributes to discussions about the information to be disclosed in integrated reports. Their results are useful to legislators, regulators, report preparers and investors.Originality/valueThe authors investigate the information demanded by professional investors in their decision-making process aiming to fill the literature gap relating the determinants of the integrated reporting disclosure and what is demanded by this target audience as a minimum content to be reported. As an additional result they offer interesting contributions to the literature providing reflections on nonfinancial information which have become important for Brazilian investors as from the COVID-19 pandemic.

A New Instrument for Assessing Work-Related Body Mechanics and Strain in the General Population

Clinical pain is often linked to poor body mechanics, with individuals sometimes presenting multiple painful disorders. Such disorders may be influenced by behaviors that affect the general resiliency and health of the musculoskeletal system. We aimed to develop a self-reported scale using the Malmö Diet and Cancer Study questions on work-related body mechanical exposures. An expert panel identified 41 variables having content validity for musculoskeletal problems. Exploratory factor analysis was conducted on a random selection of 50% of the cohort (n = 6,789 adults); the remaining was reserved for confirmatory factor analyses (CFA), item response theory (IRT) item calibration, and differential item functioning investigations. Supported by standard measure development methods and fit criteria, the final unidimensional item bank contains 13 items. Overall CFA statistics (root mean square error of approximation = .09; comparative fit index = .96; Tucker-Lewis index = .96; standardized root mean residuals = .05) indicated excellent single-factor model fit and appropriateness of IRT modeling and calibration. Expert review and item information values (score-precision) guided selection of an 8-item short form with acceptable score-level reliabilities (≥.70) for T-scores = 39–80+. This measure provides reliable assessment of body mechanics strain in adults and can be useful when evaluating different contributions to musculoskeletal problems affecting pain-treatment success in future clinical research. PerspectiveThis article presents the development and psychometric properties of a new measure, “Work-related Body Mechanics and Strain Scale (WR-BMSS).” The scale has 13-items or alternatively an 8-item short form. This measure could potentially help clinicians who seek to assess how musculoskeletal problems may contribute to patient pain and disability.

Item Response Theory Analysis of the Dark Factor of Personality Scale for College Students in China.

The Dark Factor of Personality (D) describes the common core of dark traits and is a stable indicator for socially aversive behaviors. This study investigated the psychometric properties of the Chinese version of the Dark Factor of Personality Scale for college students using item response theory (IRT). A total of 762 students—251 males and 511 females (M = 19.99, SD = 1.30)—were recruited. Item response theory methods were utilized to evaluate the properties of the scale. Four items with poor item properties were excluded, obtaining a final 28-item scale (D28-C) that included highly discriminative items showing high measurement precision in various levels of the D factor. Furthermore, a test of differential item functioning (DIF) by gender was conducted. The result indicated that the scale as a whole could be seen as gender invariant. Lastly, according to the detailed information provided by IRT and the content of items, a reliable short form of the D28-C comprising 15 items was obtained. The study enriched the existing knowledge of the dark factor of personality in the Chinese background and made some revisions to the corresponding scale to make it a more reliable tool for measurement in China. In addition, the shortened version of the scale based on item information and content helps to improve the efficiency of the measurement.

Generating reading comprehension items using automated processes

Over the last five years, tremendous strides have been made in advancing the AIG methodology required to produce items in diverse content areas. However, the one content area where enormous problems remain unsolved is language arts, generally, and reading comprehension, more specifically. While reading comprehension test items can be created using many different item formats, fill-in-the-blank remains one of the most common when the goal is to measure inferential knowledge. Currently, the item development process used to create fill-in-the-blank reading comprehension items is time-consuming and expensive. Hence, the purpose of the study is to introduce a new systematic method for generating fill-in-the-blank reading comprehension items using an item modeling approach. We describe the use of different unsupervised learning methods that can be paired with natural language processing techniques to identify the salient item models within existing texts. To demonstrate the capacity of our method, 1,013 test items were generated from 100 input texts taken from fill-in-the-blank reading comprehension items used on a high-stakes college entrance exam in South Korea. Our validation results indicated that the generated items produced higher semantic similarities between the item options while depicting little to no syntactic differences with the traditionally written test items.

Extracting interrelated information from road-related social media data

The social media data (SMD) have been viewed as a potential and promising information source of road conditions. However, most existing SMD-based sensing approaches (SMDSAs) either ignore interrelations among information items (e.g., name, direction, and status of the road) or rely on rigid grammar rules to establish entities’ interrelations. Additionally, current SMDSAs in the transportation domain are unable to link the extracted text-formatted information with domain-specific models (e.g., virtual road model, VRM). In order to fill such gaps, this work proposes an improved SMDSA of road conditions, which involves a three-stage (i.e., SMD classification, relation inference, and entity pair recognition) interrelated information extraction model, as well as a semantic converter to feed the SMD-provided text-formatted information into VRMs. The proposed SMDSA is demonstrated by the newly annotated datasets of tweets in Lexington, USA. The three-stage interrelated information extraction model outperforms conventional rule-based methods and deep-learning algorithms (e.g., Text CNN, Bi-LSTM, Piecewise CNN, and Capsule Net). The SMD-enabled VRM also preliminarily shows its capacity to optimize signal timings during incidents that change the road network topology. This work contributes to circumventing the reliance on human-made rules during SMDSAs’ development, bridging user-generated SMD with operable VRMs for potential real-world road management, and providing a standard tweet dataset annotated with interrelation triplets to help promote SMDSA studies.

Structural Analysis of the Health Literacy Facet Access to Information on General Health, COVID-19 Infection Prevention, and Early Childhood Allergy Prevention in Pregnant Women and Mothers of Infants

Abstract. The health literacy (HL) facet Access to health information is measured in the European Health Literacy Survey (HLS-EU-Q47) by 12 items. To assess Access, we developed adapted item formulations for COVID-19 infection prevention (COVID-19-IP) and early childhood allergy prevention (ECAP) in addition to the original 12 items on General Health (GH). N = 343 (expectant) mothers of infants answered the items in an online assessment. Confirmatory structural analyses for ordinal data were adopted (WLSMV-algorithm). Women’s item ratings varied significantly across domains (η2 = .017 – .552). Bi-factor models exhibited the best data fit (GH / COVID-19-IP / ECAP: CFI = .964 / .968 / .977; SRMR: .062 / .069 / .035): The general factor Access most strongly determined item information. Additionally, three subfactors contributed significantly (but rather weakly) to the item information in each domain. The overall score Access proved to be internally consistent (McDonald’s ωGH/COVID-19-IP/ECAP = .874 / .883 / .897) and was associated with socioeconomic state (McArthur scale; rGH/COVID-19-IP/ECAP = .218 / .210 / .146). Access correlated not or only weakly with the other HL facets Understand, Appraise, and Apply. The health domains GH, COVID-19-IP, and ECAP moderated both the difficulty and the dimensional structure of the 12 Access items. This suggests that in the HLS-EU Access reflects not only the search competence but also the availability of health information.

Test and Item Information of Oral Health Literacy Adult Questionnaire

Context: Item response theory (IRT), is a psychometric measure of trait considering each response positioned on a continuum. Aim: Assessment of item and test information Oral Health Literacy Adults Questionnaire (OHL-AQ) using IRT in the patient visiting the tertiary institution of Himachal Pradesh. Settings and Design: A descriptive cross-sectional study conducted on patients visiting the outpatient department. Methods: Data were obtained from the participant and recorded on a structured schedule using OHL-AQ. Statistical Analysis: The two-assumption essential for IRT are unidimensionality and local independence of items. Unidimensional dichotomous IRT consists of three models and three parameters of difficulty discrimination and guessing. Item response interpretation is based on item characteristic curves, test characteristic curve (TCC), and test information function, and analyses were conducted using the statistical software package STATA version 14. Results: The selection of 3PL model is based on the likelihood ratio test which is higher (χ 2 = 133.62, P &lt; 0.0001) than other models (χ 2 = 130.41, P &lt; 0.0001). The parameter estimate of pseudo-guessing is 0.02 indicating mild degree of guessing and represent the smallest probability of correct response. The TCC of the study shows that 95% of the randomly selected respondent scored between 3.23 and 14. The median probability of correct response is 8.16 when both difficulty and discrimination parameter is equal. Conclusion: IRT is an estimated probability of a response to a given item. Our study showed that OHL-AQ measures higher levels of OHL more precisely compared to lower levels. The OHL-AQ scale is the precise measure of both high and low levels of OHL.

Developing decision support tools incorporating personalised predictions of likely visual benefit versus harm for cataract surgery: research programme

Developing decision support tools incorporating personalised predictions of likely visual benefit versus harm for cataract surgery: research programme

Personal Information Management Literacy in the Discourse of Youth

ABSTRACTTechnological advances have led to a powerful, complex information landscape where managing one's personal information is increasingly challenging. Personal Information Management (PIM) is the field of study dedicated to the activities people engage in to organize their information so that items can be found again when needed. Searching for previously located information items is a common frustration, yet PIM is not present in the standards of Information Literacy (IL). Situating PIM Literacy within the sociocultural New Literacies theory, I explore how youth currently make sense of PIM as Discourse—what they communicate through multiple sign‐systems about their PIM practices. In this phenomenological mixed‐methods study, after an initial survey of secondary school participants, I conducted two phases of interviews—guided tours of participants’ personal information places and Information Places Map (IPM) interviews regarding their perceptions of PIM. This ongoing study addresses the dearth of PIM research with youth. Initial findings suggest the importance of information systems’ default sorting by recency, the potential benefits of instruction in file structures and archiving, and opportunities to address email overload. Evaluating student needs assists in the development of K‐12 PIM Literacy, a necessary competency for high‐school graduates to successfully participate in the digital age.