Development and Psychometric Properties of Harassment Tendency Scale

Fouzia Mobeen; Dr. Zaqia Bano

Authors

Fouzia Mobeen Department of psychology Hafiz Hayat Campus, University of Gujrat Gujrat, Pakistan
Dr. Zaqia Bano Department of psychology National University of Medical Sciences (NUMS) Rwalapindi , Pakistan

Keywords:

Harassment Tendency, Cyber Harassment, Sexual Harassment, Psychological Harassment, Street Harassment, Hostile Environment, Workplace Harassment, Power Harassment , Gender Harassment

Abstract

The aim of this research was to construct a native scale for harassment tendency and psychometric properties for the assessment of the Harassment tendency scale according to the cultural perspective of the Urdu language used. This indigenous scale can be used by psychologists, psychiatrists and even researchers for the general population to measure the tendency of harassment among males and females as well. Utilizing existent content and information from the literature research, the initial item pool of 150 items were created. Following the pilot research, 12 of the 138 expert-evaluated items were kept, including the eight aspects of harassment. Additionally, data from the sample of (N=340) people who completed this scale's final administration were gathered. Participants from educational institutions and local communities from different areas of Pakistan by using a self-reported questionnaire through convenient sampling. Rotated component matrix analysis shows, factors loading ranges from 0.402 to 0.641 of 97 items. The sample adequacy showed KMO=0.866 on 27 items (N=340) and factor loading loaded 8 factors. CFI value 0.909 with the significant model fit p<0.05 with appropriate model fit indices. HTS also conformed to good test-retest reliability (r=0.954, p=.000) at a 0.01 alpha level which is indicated the scale is a reliable measure for harassment tendency. A scale to measure Harassment tendency in the Urdu language is competently established with 27 questions and eight factors. Statistical Package for the Social Science volume 24 used for EFA (Exploratory Factor Analysis). AMOS (Analysis of a Moment structure) version 24 was used for CFA (Confirmatory Factor Analysis).

References

T. Honourable and R. Nicholson, “Canadian Human Rights Commission,” Hum. Rights Comm. Ombudsman Off., pp. 453–457, 2021, doi: 10.1163/9789004481930_031.

“Ministry of Human Rights,” 2022. https://mohr.gov.pk/Detail/MTc5MjMxNTQtYjIxMi00MmE1LWIwNmMtYjVkMjljNjUzZWYz (accessed Aug. 22, 2022).

“What is Considered Harassment? Definition, Types, & Examples in 2022,” 2021. https://inspiredelearning.com/blog/what-is-considered-harassment/ (accessed Aug. 22, 2022).

M. F. López-Vizcaíno, F. J. Nóvoa, V. Carneiro, and F. Cacheda, “Early detection of cyberbullying on social media networks,” Futur. Gener. Comput. Syst., vol. 118, pp. 219–229, May 2021, doi: 10.1016/J.FUTURE.2021.01.006.

A. Bozyiğit, S. Utku, and E. Nasibov, “Cyberbullying detection: Utilizing social media features,” Expert Syst. Appl., vol. 179, p. 115001, Oct. 2021, doi: 10.1016/J.ESWA.2021.115001.

S. Abarna, J. I. Sheeba, S. Jayasrilakshmi, and S. P. Devaneyan, “Identification of cyber harassment and intention of target users on social media platforms,” Eng. Appl. Artif. Intell., vol. 115, p. 105283, Oct. 2022, doi: 10.1016/J.ENGAPPAI.2022.105283.

F. Bondestam and M. Lundqvist, “Sexual harassment in higher education – a systematic review,” https://doi.org/10.1080/21568235.2020.1729833, vol. 10, no. 4, pp. 397–419, Oct. 2020, doi: 10.1080/21568235.2020.1729833.

A. Valik, K. H. Gattario, C. Lunde, and T. Skoog, “PSH-C: A measure of peer sexual harassment among children,” J. Soc. Issues, Jul. 2022, doi: 10.1111/JOSI.12517.

Z. Alrawadieh, D. Demirdelen Alrawadieh, H. G. T. Olya, G. Erkol Bayram, and O. C. Kahraman, “Sexual harassment, psychological well-being, and job satisfaction of female tour guides: the effects of social and organizational support,” https://doi.org/10.1080/09669582.2021.1879819, vol. 30, no. 7, pp. 1639–1657, 2021, doi: 10.1080/09669582.2021.1879819.

S. J. Mecca and L. J. Rubin, “Definitional Research on African American Students and Sexual Harassment:,” https://doi.org/10.1111/j.1471-6402.1999.tb00399.x, vol. 23, no. 4, pp. 813–817, Jun. 2016, doi: 10.1111/J.1471-6402.1999.TB00399.X.

“What Is Street Harassment? | Stop Street Harassment.” https://stopstreetharassment.org/about/what-is-street-harassment/ (accessed Aug. 22, 2022).

E. Brockschmidt and R. Wadey, “Runners’ experiences of street harassment in London,” https://doi.org/10.1080/2159676X.2021.1943502, vol. 14, no. 3, pp. 345–362, 2021, doi: 10.1080/2159676X.2021.1943502.

R. Essex et al., “A decade of the hostile environment and its impact on health,” J. R. Soc. Med., vol. 115, no. 3, pp. 87–90, Mar. 2022, doi: 10.1177/01410768221078327.

V. Mironova and S. Whitt, “Maintaining nonviolent selfdiscipline in hostile protest environments: evidence from the 2019 Baghdad protests,” https://doi.org/10.1080/14742837.2022.2070466, 2022, doi: 10.1080/14742837.2022.2070466.

S. Einarsen, H. Hoel, D. Zapf, and C. Cooper, “The Concept of Bullying and Harassment at Work,” Bullying Harass. Work., no. July 2017, pp. 3–39, 2010, doi: 10.1201/ebk1439804896-3.

C. Österman and M. Boström, “Workplace bullying and harassment at sea: A structured literature review,” Mar. Policy, vol. 136, p. 104910, Feb. 2022, doi: 10.1016/J.MARPOL.2021.104910.

“The 5 Most Common Types Of Workplace Harassment - Work It Daily.” https://www.workitdaily.com/common-types-of-workplace-harassment/physical-harassment (accessed Aug. 22, 2022).

S. Tanaka, T. Kano, and T. Akakura, “Visualization of Judicial Precedents on Power Harassment Issues Using Relationship Chart,” pp. 421–434, 2022, doi: 10.1007/978-3-031-06424-1_31.

C. van Baak, C. A. Maher, M. E. Protas, and B. E. Hayes, “Victims and Perpetrators of Cyber Harassment: The Role of Power and Control and the Use of Techniques of Neutralization,” https://doi.org/10.1080/01639625.2022.2088317, pp. 1–18, Jun. 2022, doi: 10.1080/01639625.2022.2088317.

A. Kobayashi and K. Tanaka, “Cognitive Complexity Training Reduced Gender Harassment in a Small Japanese Company1, 2,” Jpn. Psychol. Res., 2022, doi: 10.1111/JPR.12419.

N. Buchanan and A. Mahoney, “Development of a scale measuring online sexual harassment: Examining gender differences and the emotional impact of sexual harassment victimization online,” Leg. Criminol. Psychol., vol. 27, no. 1, pp. 63–81, Feb. 2022, doi: 10.1111/LCRP.12197.

D. Wigati, “Women’s Self-Image and Tendency to Experience Sexual Harassment from the Perspective of Men (A Study from the Perspective of Harassers / Men),” Humanit. Soc. Sci. Lett., vol. 5, no. 1, pp. 18–28, 2017, doi: 10.18488/journal.73/2017.5.1/73.1.18.28.

M. A. Pitot et al., “The Current State of Gender Discrimination and Sexual Harassment in the Radiology Workplace: A Survey,” Acad. Radiol., vol. 29, no. 3, pp. 416–425, Mar. 2022, doi: 10.1016/J.ACRA.2021.01.002.

T. R. Hinkin, J. B. Tracey, and C. A. Enz, “Scale Construction: Developing Reliable and Valid Measurement Instruments:,” http://dx.doi.org/10.1177/109634809702100108, vol. 21, no. 1, pp. 100–120, Jul. 2016, doi: 10.1177/109634809702100108.

B. M. Byrne, Structural Equational Modeling with AMOS blue book. 2010.

L. R. Tucker and C. Lewis, “A reliability coefficient for maximum likelihood factor analysis,” Psychom. 1973 381, vol. 38, no. 1, pp. 1–10, Mar. 1973, doi: 10.1007/BF02291170.

B. MENDI and O. MENDI, “Evaluation of Validity and Reliability of the Turkish Version of the E-lifestyle Instrument,” J. Yaşar Univ., vol. 10, no. 40, p. 6624, 2015, doi: 10.19168/jyu.37431.

L. R. Fabrigar, R. C. MacCallum, D. T. Wegener, and E. J. Strahan, “Evaluating the use of exploratory factor analysis in psychological research,” Psychol. Methods, vol. 4, no. 3, pp. 272–299, Sep. 1999, doi: 10.1037/1082-989X.4.3.272.

L. T. Hu and P. M. Bentler, “Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives,” https://doi.org/10.1080/10705519909540118, vol. 6, no. 1, pp. 1–55, 2009, doi: 10.1080/10705519909540118.

K. D. Carlson and A. O. Herdman, “Understanding the Impact of Convergent Validity on Research Results:,” https://doi.org/10.1177/1094428110392383, vol. 15, no. 1, pp. 17–32, Dec. 2010, doi: 10.1177/1094428110392383.

R. B. Kline, “Principles and Practice of Structural Equation Modeling, Fourth Edition - Rex B. Kline - Google Books,” p. 9, 2011, Accessed: Aug. 21, 2022. [Online]. Available: https://books.google.de/books?hl=de&lr=&id=Q61ECgAAQBAJ&oi=fnd&pg=PP1&dq=kline+2015+sem&ots=jFjg0uwanh&sig=IGqNsLCD7-r6SJpeh2MxR_Ppt84#v=onepage&q=kline 2015 sem&f=false

B. G. Tabachnick and L. S. Fidell, “Using Multivariate Statistics 5th Edition,” Using Multivar. Stat., p. 1008, 2001, Accessed: Aug. 21, 2022. [Online]. Available: http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Cleaning+up+your+act:+Screening+Data+Prior+to+Analysis#0

B. A. Cerny and H. F. Kaiser, “A Study Of A Measure Of Sampling Adequacy For Factor-Analytic Correlation Matrices,” Multivariate Behav. Res., vol. 12, no. 1, pp. 43–47, Jan. 1977, doi: 10.1207/S15327906MBR1201_3.