IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i12p6935-d578527.html
   My bibliography  Save this article

An Item Response Theory to Analyze the Psychological Impacts of Rail-Transport Delay

Author

Listed:
  • Mahdi Rezapour

    (Wyoming Technology Transfer Center, University of Wyoming, Laramie, WY 82071, USA)

  • Kelly Cuccolo

    (Department of Psychology, University of North Dakota, Grand Forks, ND 58201, USA)

  • Christopher Veenstra

    (Department of Psychology, University of North Dakota, Grand Forks, ND 58201, USA)

  • F. Richard Ferraro

    (Department of Psychology, University of North Dakota, Grand Forks, ND 58201, USA)

Abstract

Questionnaire instruments have been used extensively by researchers in the literature review for evaluation of various aspects of public transportation. Important implications have been derived from those instruments to improve various aspects of the transport. However, it is important that instruments, which are designed to measure various stimuli, meet criteria of reliability to reflect a real impact of the stressors. Particularly, given the diverse range of commuter characteristics considered in this study, it is necessary to ensure that instruments are reliable and accurate. This can be achieved by finding the relationship between the item’s properties and the underlying unobserved trait, being measured. The item response theory (IRT) refers to measurement of an instrument’s reliability by examining the relationship between the unobserved trait and various observed items. In this study, to determine if our instrument suffers from any potentially associated problems, the IRT analysis was conducted. The analysis was employed based on the graded response model (GRM) due to the ordinal nature of the data. Various aspects of the instruments, such as discriminability and informativity of the items were tested. For instance, it was found while the classical test theory (CTT) confirm the reliability of the instrument, IRT highlight some concerns regarding the instrument. Also, the person fit assessment measure, for instance, highlights some concern regarding respondents answering some of the questions due to lack of interest, choosing answers randomly. Not many studies have examined instruments’ reliability in determining the psychological impacts of public transportation on commuters in the way that was performed here.

Suggested Citation

  • Mahdi Rezapour & Kelly Cuccolo & Christopher Veenstra & F. Richard Ferraro, 2021. "An Item Response Theory to Analyze the Psychological Impacts of Rail-Transport Delay," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6935-:d:578527
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/12/6935/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/12/6935/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carlos Calderón & Christian Beyle & Oscar Véliz-García & Juan Bekios-Calfa, 2021. "Psychometric properties of Addenbrooke’s Cognitive Examination III (ACE-III): An item response theory approach," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-16, May.
    2. Yung-Hsiang Cheng, 2010. "Exploring passenger anxiety associated with train travel," Transportation, Springer, vol. 37(6), pages 875-896, November.
    3. Peter Groothuis & John Whitehead, 2002. "Does don't know mean no? Analysis of 'don't know' responses in dichotomous choice contingent valuation questions," Applied Economics, Taylor & Francis Journals, vol. 34(15), pages 1935-1940.
    4. Rizopoulos, Dimitris, 2006. "ltm: An R Package for Latent Variable Modeling and Item Response Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 17(i05).
    5. Monchambert, Guillaume & de Palma, André, 2014. "Public transport reliability and commuter strategy," Journal of Urban Economics, Elsevier, vol. 81(C), pages 14-29.
    6. Richard Wener & Gary Evans & Donald Phillips & Natasha Nadler, 2003. "Running for the 7:45: The effects of public transit improvements on commuter stress," Transportation, Springer, vol. 30(2), pages 203-220, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Waqar Ahmed Sethar & Adnan Pitafi & Arabella Bhutto & Abdelmohsen A. Nassani & Mohamed Haffar & Shah Muhammad Kamran, 2022. "Application of Item Response Theory (IRT)-Graded Response Model (GRM) to Entrepreneurial Ecosystem Scale," Sustainability, MDPI, vol. 14(9), pages 1-27, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mahdi Rezapour & F. Richard Ferraro, 2021. "The impact of commuters’ psychological feelings due to delay on perceived quality of a rail transport," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-8, December.
    2. Roger L. Mackett, 2022. "Gender, mental health and travel," Transportation, Springer, vol. 49(6), pages 1891-1920, December.
    3. Song, Younghwan & Gao, Jia, 2018. "Does Telework Stress Employees Out? A Study on Working at Home and Subjective Well-Being for Wage/Salary Workers," IZA Discussion Papers 11993, Institute of Labor Economics (IZA).
    4. Börjesson, Maria & Fung, Chau Man & Proost, Stef & Yan, Zifei, 2018. "Do buses hinder cyclists or is it the other way around? Optimal bus fares, bus stops and cycling tolls," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 326-346.
    5. Stephanie F. Stefanski & Jay P. Shimshack, 2016. "Valuing Marine Biodiversity in the Gulf of Mexico: Evidence from the Proposed Boundary Expansion of the Flower Garden Banks National Marine Sanctuary," Marine Resource Economics, University of Chicago Press, vol. 31(2), pages 211-232.
    6. Georg Gottholmseder & Klaus Nowotny & Gerald J. Pruckner & Engelbert Theurl, 2009. "Stress perception and commuting," Health Economics, John Wiley & Sons, Ltd., vol. 18(5), pages 559-576, May.
    7. Nick Bailey, 2020. "Measuring Poverty Efficiently Using Adaptive Deprivation Scales," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 891-910, June.
    8. Anastasio J. Villanueva & Klaus Glenk & Macario Rodríguez-Entrena, 2017. "Protest Responses and Willingness to Accept: Ecosystem Services Providers’ Preferences towards Incentive-Based Schemes," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 801-821, September.
    9. Wang, Bin & Zacharias, John, 2020. "Noise, odor and passenger density in perceived crowding in public transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 215-223.
    10. W. W. Koczkodaj & T. Kakiashvili & A. Szymańska & J. Montero-Marin & R. Araya & J. Garcia-Campayo & K. Rutkowski & D. Strzałka, 2017. "How to reduce the number of rating scale items without predictability loss?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 581-593, May.
    11. Yang Yixin & Lü Xin & Ma Jian & Qiao Han, 2014. "A Robust Factor Analysis Model for Dichotomous Data," Journal of Systems Science and Information, De Gruyter, vol. 2(5), pages 437-450, October.
    12. Ma, Liang & Ye, Runing, 2019. "Does daily commuting behavior matter to employee productivity?," Journal of Transport Geography, Elsevier, vol. 76(C), pages 130-141.
    13. Arulmani Thiyagarajan & Tyler G. James & Roy Rillera Marzo, 2022. "Psychometric properties of the 21-item Depression, Anxiety, and Stress Scale (DASS-21) among Malaysians during COVID-19: a methodological study," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.
    14. Yi Fan & Ho Pin Teo & Wayne X. Wan, 2021. "Public transport, noise complaints, and housing: Evidence from sentiment analysis in Singapore," Journal of Regional Science, Wiley Blackwell, vol. 61(3), pages 570-596, June.
    15. Li, Hao & Gao, Kun & Tu, Huizhao, 2017. "Variations in mode-specific valuations of travel time reliability and in-vehicle crowding: Implications for demand estimation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 250-263.
    16. Lars Olsson & Tommy Gärling & Dick Ettema & Margareta Friman & Satoshi Fujii, 2013. "Happiness and Satisfaction with Work Commute," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 111(1), pages 255-263, March.
    17. Börjesson, Maria & Fung, Chau Man & Proost, Stef & Yan, Zifei, 2017. "Cycling tolls and optimal number of bus stops: the importance of congestion and crowding," Working papers in Transport Economics 2017:10, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    18. Ahlfeldt, Gabriel M. & Maennig, Wolfgang & Mueller, Steffen Q., 2018. "The generation gap in direct democracy," LSE Research Online Documents on Economics 88702, London School of Economics and Political Science, LSE Library.
    19. Lorenz, Olga & Goerke, Laszlo, 2015. "Commuting and Sickness Absence," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113173, Verein für Socialpolitik / German Economic Association.
    20. Poudenx, Pascal, 2008. "The effect of transportation policies on energy consumption and greenhouse gas emission from urban passenger transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(6), pages 901-909, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6935-:d:578527. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.