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  1. Siraji MA, Haque S
    Front Psychol, 2022;13:1023856.
    PMID: 36438415 DOI: 10.3389/fpsyg.2022.1023856
    There is no psychometric tool to assess locus of control for Bangla-speaking people. Hence, we attempted to translate the 23-item Rotter's Internal-External scale into Bangla and validate it on Bangladeshi adult participants. In Study 1 (N = 300), we translated the items into Bangla and conducted an exploratory factor analysis, which gave a one-factor solution with 12 items. In Study 2, we conducted a validation study (N = 178) to accumulate evidence on the structural and concurrent validity of the 12-item scale. Structural validity assessed by confirmatory factor analysis yielded the best fit for the one-factor model with 11 items (CFI = 0.98, TLI = 0.97, RMSEA = 0.00). The scale's significant correlations with Internal Control Index, which is also a measure of locus of control (r = -0.22, p 
  2. Siraji MA, Rahman M
    Clocks Sleep, 2023 Dec 20;6(1):1-10.
    PMID: 38534796 DOI: 10.3390/clockssleep6010001
    Achieving research reproducibility is a precarious aspect of scientific practice. However, many studies across disciplines fail to be fully reproduced due to inadequate dissemination methods. Traditional publication practices often fail to provide a comprehensive description of the research context and procedures, hindering reproducibility. To address these challenges, this article presents a tutorial on reproducible research using the R programming language. The tutorial aims to equip researchers, including those with limited coding knowledge, with the necessary skills to enhance reproducibility in their work. It covers three essential components: version control using Git, dynamic document creation using rmarkdown, and managing R package dependencies with renv. The tutorial also provides insights into sharing reproducible research and offers specific considerations for the field of sleep and chronobiology research. By following the tutorial, researchers can adopt practices that enhance the transparency, rigor, and replicability of their work, contributing to a culture of reproducible research and advancing scientific knowledge.
  3. Siraji MA, Jahan N, Borak Z
    Asian J Psychiatr, 2023 Jun;84:103586.
    PMID: 37079986 DOI: 10.1016/j.ajp.2023.103586
    BACKGROUND: Assessing communication skills is necessary to facilitate pro-communication skills development programs. The 23-item Communication Scale (CS) is the most widely used tool for this purpose. Since there is a scarcity of validated tools to assess communication skills among Bangladeshi adolescents, we translated this questionnaire into Bangla and validated it on a Bangladeshi adolescent sample.

    METHODS: We conducted two independent rounds of large-scale surveys that yielded data from 621 Bangladeshi adolescents (AgeMean ± SD = 16.44 ± 1.32), of which 378 were males, and 244 were females. The participants completed the Bangla CS. A subset of the participants (n = 160) also completed the Bangla Beck's Hopelessness Scale (BBHS)-a measure of hopelessness.

    RESULTS: Exploratory factor analysis on the first-round data (n = 340) discarded six items and retained 17 items and revealed a unidimensional factor structure. Confirmatory Factor Analysis on the second-round data (n = 281) supported the unidimensional structure (CFI = 0.94, TLI = 0.93). Measurement invariance analysis indicated that the unidimensional structure was robust across gender (143 males vs 139 females). The scale exhibited a negative correlation with BBHS revealing the scale's concurrent validity (r = - 0.16, p  0.70) across a sizable range of communication skills continuum (θ = - 5.3 to 2.3) and had excellent marginal reliability (0.80). All items had adequate discriminating power (0.90 ± 0.20).

    CONCLUSION: The psychometric analysis of the 17-item Bangla-CS indicated that the scale is reliable and valid. We recommend that researchers and mental health practitioners utilize this scale to evaluate communication skills among Bangladeshi adolescents.

  4. Siraji MA, Kalavally V, Schaefer A, Haque S
    Front Psychol, 2021;12:765750.
    PMID: 35069337 DOI: 10.3389/fpsyg.2021.765750
    This paper reports the results of a systematic review conducted on articles examining the effects of daytime electric light exposure on alertness and higher cognitive functions. For this, we selected 59 quantitative research articles from 11 online databases. The review protocol was registered with PROSPERO (CRD42020157603). The results showed that both short-wavelength dominant light exposure and higher intensity white light exposure induced alertness. However, those influences depended on factors like the participants' homeostatic sleep drive and the time of day the participants received the light exposure. The relationship between light exposure and higher cognitive functions was not as straightforward as the alerting effect. The optimal light property for higher cognitive functions was reported dependent on other factors, such as task complexity and properties of control light. Among the studies with short-wavelength dominant light exposure, ten studies (morning: 3; afternoon: 7) reported beneficial effects on simple task performances (reaction time), and four studies (morning: 3; afternoon: 1) on complex task performances. Four studies with higher intensity white light exposure (morning: 3; afternoon: 1) reported beneficial effects on simple task performance and nine studies (morning: 5; afternoon: 4) on complex task performance. Short-wavelength dominant light exposure with higher light intensity induced a beneficial effect on alertness and simple task performances. However, those effects did not hold for complex task performances. The results indicate the need for further studies to understand the influence of short-wavelength dominant light exposure with higher illuminance on alertness and higher cognitive functions.
  5. Mahmood S, Siraji MA, Naher R, Arató N, Kaló Z
    Asian J Psychiatr, 2023 Feb 17;83:103514.
    PMID: 36906995 DOI: 10.1016/j.ajp.2023.103514
    BACKGROUND: The assessment of bullying-related attributes is vital in developing anti-bullying intervention and prevention programs. The revised Olweus Bully/Victim Questionnaire (OBVQ-R) is one tool that has been widely used for this purpose. Thus, as we noticed a rising interest in research on bullying and there is a scarcity of proper psychometric tools to assess bullying-related attributes in Bangladesh, our study aimed to translate the OBVQ-R and test the psychometric properties of the Bangla version of this questionnaire on a large Bangladeshi adolescent sample.

    METHOD: In Bangladesh, we collected data from grade 8-10 students (N = 567, 309 females, 258 males, AgeMean±SD=15.12 ± 0.81). The participants completed Bangla OBVQ-R, Beck Youth Inventory (BYI), and Children's Revised Impact of Events Scale-13 (CRIES-13).

    RESULTS: The item response theory (IRT) analysis discarded five items and retained 15 items (Victimization=8, Perpetration=7). Both subscales had items with high discrimination (Victimization: 3.14 ± 0.67; Perpetration: 3.40 ± 1.04). Confirmatory factor analysis supported a correlated two-factor model (CFI=0.99; TLI=0.99). Both subscales (Victimization and Perpetration) and the 15-item full scale exhibited satisfactory reliability (>0.80). In line with our predictions, both subscales demonstrated significant positive correlations with BYI and CRIES-13, indicating satisfactory concurrent validity.

    CONCLUSION: The results of the psychometric analyses supported the reliability and validity of the 15-item Bangla-version OBVQ-R to assess bullying involvement. Hence, this new, adapted measurement can facilitate further bullying research in Bangladesh and, thus, the development of prevention and intervention programs.

  6. Siraji MA, Spitschan M, Kalavally V, Haque S
    Sci Rep, 2023 Aug 01;13(1):12425.
    PMID: 37528146 DOI: 10.1038/s41598-023-39636-y
    Ample research has shown that light influences our emotions, cognition, and sleep quality. However, little work has examined whether different light exposure-related behaviors, such as daytime exposure to electric light and nighttime usage of gadgets, especially before sleep, influence sleep quality and cognition. Three-hundred-and-one Malaysian adults (MeanAge±SD = 28 ± 9) completed the Light Exposure Behavior Assessment tool that measured five light exposure behaviors. They also completed the Morningness-Eveningness Questionnaire, Positive and Negative Affect Schedule, Pittsburgh Sleep Quality Index, and single items assessing trouble in memory and concentration. A partial least square structural equation model, showing 72.72% predictive power, revealed that less use of wearable blue filters outdoors during the day and more within one hour before sleep predicted early peak time (direct effect = -0.25). Increased time spent outdoors predicted a positive affect (direct effect = 0.33) and a circadian phase advancement (direct effect: rising time = 0.14, peak time = 0.20, retiring time = 0.17). Increased use of mobile phone before sleep predicted a circadian phase delay (direct effect: retiring time = -0.25; rising time = -0.23; peak time = -0.22; morning affect = -0.12), reduced sleep quality (direct effect = 0.13), and increased trouble in memory and concentration (total effect = 0.20 and 0.23, respectively). Increased use of tunable, LED, or dawn-simulating electric light in the morning and daytime predicted a circadian phase advancement (direct effect: peak time = 0.15, morning affect = 0.14, retiring time = 0.15) and good sleep quality (direct effect = -0.16). The results provide valuable insights into developing a healthy light diet to promote health and wellness.
  7. Siraji MA, Lazar RR, van Duijnhoven J, Schlangen LJM, Haque S, Kalavally V, et al.
    Sci Rep, 2023 Dec 13;13(1):22151.
    PMID: 38092767 DOI: 10.1038/s41598-023-48241-y
    Light exposure is an essential driver of health and well-being, and individual behaviours during rest and activity modulate physiologically relevant aspects of light exposure. Further understanding the behaviours that influence individual photic exposure patterns may provide insight into the volitional contributions to the physiological effects of light and guide behavioural points of intervention. Here, we present a novel, self-reported and psychometrically validated inventory to capture light exposure-related behaviour, the Light Exposure Behaviour Assessment (LEBA). An expert panel prepared the initial 48-item pool spanning different light exposure-related behaviours. Responses, consisting of rating the frequency of engaging in the per-item behaviour on a five-point Likert-type scale, were collected in an online survey yielding responses from a geographically unconstrained sample (690 completed responses, 74 countries, 28 time zones). The exploratory factor analysis (EFA) on an initial subsample (n = 428) rendered a five-factor solution with 25 items (wearing blue light filters, spending time outdoors, using a phone and smartwatch in bed, using light before bedtime, using light in the morning and during daytime). In a confirmatory factor analysis (CFA) performed on an independent subset of participants (n = 262), we removed two additional items to attain the best fit for the five-factor solution (CFI = 0.95, TLI = 0.95, RMSEA = 0.06). The internal consistency reliability coefficient for the total instrument yielded McDonald's Omega = 0.68. Measurement model invariance analysis between native and non-native English speakers showed our model attained the highest level of invariance (residual invariance CFI = 0.95, TLI = 0.95, RMSEA = 0.05). Lastly, a short form of the LEBA (n = 18 items) was developed using Item Response Theory on the complete sample (n = 690). The psychometric properties of the LEBA indicate the usability for measuring light exposure-related behaviours. The instrument may offer a scalable solution to characterise behaviours that influence individual photic exposure patterns in remote samples. The LEBA inventory is available under the open-access CC-BY license. Instrument webpage: https://leba-instrument.org/ GitHub repository containing this manuscript: https://github.com/leba-instrument/leba-manuscript .
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