Skip to main content
Log in

Adoption and use of statistical software support in higher education: a cross-national analysis

  • Published:
Quality & Quantity Aims and scope Submit manuscript

Abstract

The databases’ information and associated analytical approaches are gaining an ever-greater role in making business decisions, thus increasing the need for highly educated employees with good expertise of statistical support software that provides support for analysis of complex databases. This article presents a cross-national analysis regarding the adoption and use of statistical support software SPSS in higher education among students from Slovenia, Malaysia and Turkey. We present a conceptual model, based on TAM (Technology Acceptance Model) and we compared it in different national contexts. The conceptual model was tested using SEM (structural equation modeling). Despite different cultural and geographical differences, we found that the three models as a whole do not significantly differ, however, vary considerable differences between individual constructs by countries were identified. Students from Malaysia and Turkey are perceiving greater benefits of using of SPSS in future, show greater compatibility of SPSS with the academic needs, and have more positive attitude towards the use of SPSS as well as higher perceived usefulness of statistics as students from Slovenia.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Availability of data and material

The databases are available at universities.

References

  • Abbas, T.: Social factors affecting students’ acceptance of e-learning environments in developing and developed countries: a structural equation modeling approach. J. Hosp. Tour. Technol. 7(2), 200–212 (2016)

    Google Scholar 

  • Abbasi, M.S., Tarhini, A., Elyas, T., Shah, F.: Impact of individualism and collectivism over the individual’s technology acceptance behaviour: a multi-group analysis between Pakistan and Turkey. J. Enterp. Inf. Manag. 28(6), 747–768 (2015)

    Article  Google Scholar 

  • Abbass, R., Mesch, G.S.: Cultural values and facebook use among palestinian youth in Israel. Comput. Hum. Behav. 48, 644–653 (2015)

    Article  Google Scholar 

  • Adam, W.C., Infeld, D.L., Wulff, C.M.: Statistical software for curriculum and careers. J. Public Aff. Educ. 18(1), 173–188 (2018)

    Google Scholar 

  • Aguilera-Hermida, A.P., Quiroga-Garza, A., Gómez-Mendoza, S., Del Río Villanueva, C.A., AvolioAlecchi, B., Avci, D.: Comparison of students’ use and acceptance of emergency online learning due to COVID-19 in the USA, Mexico, Peru, and Turkey. Educ. Inf. Technol. 26, 6823–6845 (2021)

    Article  Google Scholar 

  • Al-Khateeb, F.B.: Predicting internet usage in two emerging economies using an extended technology acceptance model (TAM). Proceedings of the 2007 International Symposium on Collaborative Technologies and Systems, CTS (2007)

  • Alshare, K.A., Mesak, H.I., Grandon, E.E., Badri, M.A.: Examining the moderating role of national culture on an extended technology acceptance model. J. Glob. Inf. Technol. Manag. 14(3), 27–53 (2011)

    Google Scholar 

  • Alzaidi, M.S., Shehawy, Y.M.: Cross-national differences in mobile learning adoption during COVID-19. Educ. + Train. 64(3), 305–328 (2022)

    Article  Google Scholar 

  • Anders, D.O., Lindberg, O.J., Fransson, G.: Students’ voices about information and communication technology in upper secondary schools. Int. J. Inf. Learn. Technol. 35(2), 82–92 (2018)

    Article  Google Scholar 

  • Arenas-Gaitán, J., Ramírez-Correa, P.E., Rondán-Cataluña, F.J.: Cross cultural analysis of the use and perceptions of web based learning systems. Comput. Educ. 57(2), 1762–1774 (2011)

    Article  Google Scholar 

  • Bagozzi, R.P., Yi, Y.: On the evaluation of structural equation model. J. Acad. Mark. Sci. 16(1), 74–94 (1998)

    Article  Google Scholar 

  • Bayliss, L.: Demystifying data: a constructivist approach to teaching statistical concepts using SPSS. J. Public Relat. Educ. 6(1), 58–84 (2020)

    Google Scholar 

  • Brezavšček, A., Šparl, P., Žnidaršič, A.: Factors influencing the behavioural intention to use statistical software: the perspective of the slovenian students of social sciences. EURASIA J. Math. Sci. Technol. Educ. 13(3), 953–986 (2017)

    Google Scholar 

  • Campbell, D.T.: Recommendations for APA test standards regarding construct, trait, or discriminant validity. Am. Psychol. 15(8), 546–553 (1960)

    Article  Google Scholar 

  • Campbell, S.W.: A cross-cultural comparison of perceptions and uses of mobile telephony. New Media Soc. 9(2), 343–363 (2007)

    Article  Google Scholar 

  • Chiang, D., Brooks, C., Chen, H.: Cross-cultural social contexts: a comparison of Chinese and US students’ experiences in active learning classrooms. Interact. Learn. Environ. (2020). https://doi.org/10.1080/10494820.2020.1855206

    Article  Google Scholar 

  • Cho, J.H., Erin, L., Quinlan, M.: Cross-national comparisons of college students’ attitudes toward diet/fitness apps on smartphones. J. Am. Coll. Health 65(7), 437–449 (2017)

    Article  Google Scholar 

  • Choi, J., Geistfeld, L.V.: A cross-cultural investigation of consumer e-shopping adoption. J. Econ. Psychol. 25(6), 821–838 (2004)

    Article  Google Scholar 

  • Choi, K.S., Im, I., Hofstede, G.J.: A cross-cultural comparative analysis of small group collaboration using mobile twitter. Comput. Hum. Behav. 65, 308–318 (2016)

    Article  Google Scholar 

  • Cox, T.H., Lobel, S.A., McLeod, P.L.: Effects of ethnic group cultural differences on cooperative and competitive behavior on a group task. Acad. Manag. J. 34(4), 827–847 (1991)

    Article  Google Scholar 

  • Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35(8), 982–1002 (1989)

    Article  Google Scholar 

  • Dutot, V., Bhatiasevi, V., Bellallahom, N.: Applying the technology acceptance model in a three-countries study of smartwatch adoption. J. High Technol. Manag. Res. 30(2), 1–14 (2019)

    Article  Google Scholar 

  • Farinosi, M., Lim, C., Roll, J.: Book or screen, pen or keyboard? A cross-cultural sociological analysis of writing and reading habits basing on Germany, Italy and the UK. Telemat. Inform. 33(2), 410–421 (2016)

    Article  Google Scholar 

  • Field, A.: Discovering Statistics Using SPSS. Sage, London (2009)

    Google Scholar 

  • Forbush, E., Foucault-Welles, B.: Social media use and adaptation among Chinese students beginning to study in the United States. Int. J. Intercult. Relat. 50, 1–12 (2016)

    Article  Google Scholar 

  • Fusilier, M., Durlabhji, S., Cucchi, A.: An investigation of the integrated model of user technology acceptance: internet user samples in four countries. J. Educ. Comput. Res. 38(2), 155–182 (2008)

    Article  Google Scholar 

  • Geisser, S.: A predictive approach to the random effect model. Biometrika 61(1), 101–107 (1974)

    Article  Google Scholar 

  • Gonulal, T.: Statistical knowledge and training in second language acquisition. The case of doctoral students. ITL Int. J. Appl. Linguistics 171(1), 62–89 (2020)

    Article  Google Scholar 

  • Grandon, E.E., Alshare, K., Kwun, O.: Factors influencing student intention to adopt online classes: a cross-cultural study. J. Comput. Sci. Coll. 20(4), 46–56 (2005)

    Google Scholar 

  • Grant, C.A., Sleeter, C.E.: Race, class, gender, and disability in the classroom. In: Multicultural Education Issues and Perspectives. John Wiley & Sons, Hoboken (2010)

  • Gray, C.D., Kunnear, P.R.: IBM SPSS Statistics 19 Made Simple. Taylor & Francis Group, New York (2011)

    Google Scholar 

  • Grimes, P.W.: Dishonesty in academics and business: a cross-cultural evaluation of student attitudes. J. Bus. Ethics 49(3), 273–290 (2004)

    Article  Google Scholar 

  • Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E.: Multivariate Data Analysis. Prentice Hall, New Jersey (2010)

    Google Scholar 

  • Hartzel, K.S., Marley, K.A., Spangler, W.E.: Online social network adoption: a cross-cultural study. J. Comput. Inf. Syst. 56(2), 87–96 (2016)

    Google Scholar 

  • Hsu, M.K., Wang, S.W., Chin, K.K.: Computer attitude, statistics anxiety and selfefficacy on statistical software adoption behavior: an empirical study of online MBA learners. Comput. Hum. Behav. 25(2), 412–420 (2009)

    Article  Google Scholar 

  • Huang, F., Teo, T., Sánchez-Prieto, J.C., García-Peñalvo, F.J., Olmos-Migueláñez, S.: Cultural values and technology adoption: a model comparison with university teachers from China and Spain. Comput. Educ. 133, 69–81 (2019)

    Article  Google Scholar 

  • Im, I., Hing, S., Kang, M.S.: An international comparison of technology adoption Testing the UTAUT model. Inf. Manag. 48, 1–8 (2011)

    Article  Google Scholar 

  • Keil, M., Tan, B.C.Y., Wei, K.K., Saarinen, T., Tuunainen, V., Wassenaar, A.: A cross-cultural study on escalation of commitment behavior in software projects. MIS Q. 24(2), 299–325 (2000)

    Article  Google Scholar 

  • Kim, Y., Sohn, D., Choi, S.M.: Cultural difference in motivations for using social network sites: a comparative study of American and Korean college students. Comput. Hum. Behav. 27(1), 365–372 (2011)

    Article  Google Scholar 

  • Kock, N.: WarpPLS 5.0 User Manual. ScriptWarp Systems Laredo, Texas (2015)

    Google Scholar 

  • Kurt, O.E., Tingöy, O.: The acceptance and use of a virtual learning environment in higher education: an empirical study in Turkey, and the UK. Int. J. Educ. Technol. High. Educ. 14, 26 (2017)

    Article  Google Scholar 

  • Lee, J.-W.: Online support service quality, online learning acceptance, and student satisfaction. Internet High. Educ. 13(4), 277–283 (2010)

    Article  Google Scholar 

  • Lee, I., Choi, B., Kim, J., Hong, S.-J.: Culture-technology fit: effects of cultural characteristics on the post-adoption beliefs of mobile internet users. Int. J. Electron. Commer. 11(4), 11–51 (2014)

    Article  Google Scholar 

  • Leidner, D.E., Kayworth, T.K.: Review: a review of culture in information systems research: toward a theory of information technology culture conflict. MIS q. 30(2), 357–399 (2006)

    Article  Google Scholar 

  • Letchumanan, M., Muniandy, B.: Migrating to e-book: a study on perceived usefulness and ease of use. Library Hi Tech News 30(7), 10–15 (2013)

    Article  Google Scholar 

  • Li, N., Kirkup, G.: Gender and cultural differences in Internet use: a study of China and the UK. Comput. Educ. 48(2), 301–317 (2007)

    Article  Google Scholar 

  • Li, N., Kirkup, G., Hodgson, B.: Cross-cultural comparison of women students’ attitudes toward the internet and usage: China and the United Kingdom. Cyberpsychol. Behav. 4(3), 415–426 (2001)

    Article  Google Scholar 

  • Lin, S.H., Lee, H.-C., Chang, C.-T., Fu, C.J.: Behavioral intention towards mobile learning in Taiwan, China, Indonesia, and Vietnam. Technol. Soc. 63, 1–13 (2020)

    Article  Google Scholar 

  • Lindberg, J.O., Olofsson, A.D., Fransson, G.: Same but different? An examination of Swedish upper secondary school teachers’ and students’ views and use of ICT in education. Int. J. Inf. Learn. Technol. 34(2), 122–132 (2017)

    Article  Google Scholar 

  • Liu, X., Liu, S., Lee, S.-H., Magjuka, R.J.: Cultural differences in online learning: international student perceptions. Educ. Technol. Soc. 13(3), 177–188 (2010)

    Google Scholar 

  • Masood, A., Lodhi, R.N.: Determinants of behavioral intentions to use SPSS among students: application of technology acceptance model (TAM). FWU J. Soc. Sci. 10(2), 146–152 (2016)

    Google Scholar 

  • McCoy, S., Everard, A., Jones, B.M.: An Examination of the technology acceptance model in uruguay and the US: a focus on culture. J. Glob. Inf. Technol. Manag. 8(2), 27–45 (2005)

    Google Scholar 

  • Mei, B., Brown, G.T.L., Teo, T.: Toward an understanding of preservice english as a foreign language teachers’ acceptance of computer-assisted language learning 2.0 in the People’s Republic of China. J. Educ. Comput. Res. 56(1), 74–104 (2018)

    Article  Google Scholar 

  • Muenchen, R. A. (2013). The Popularity of Data Analysis Software. r4stats.com http://immagic.com/eLibrary/ARCHIVES/GENERAL/BLOGS/R130203M.pdf (Accessed 12 July 2016).

  • Mulyan, R.S., Ridwan, M., Ilona, D.: Statistical software adoption behaviour among Indonesia’s undergraduate students. J. Phys. Conf. Ser. 1339(1), 1–9 (2019)

    Google Scholar 

  • Nah, F.F., Tan, X., Teh, S.H.: An empirical investigation on end-users’ acceptance of enterprise systems. Inf. Res. Manag. J. 17(3), 32–53 (2004)

    Google Scholar 

  • Nilsson, D.: A cross-cultural comparison of self-service technology use. Eur. J. Mark. 41(3/4), 367–381 (2007)

    Article  Google Scholar 

  • Nunnally, J.C.: Psychometric Theory. Mc-Graw-Hill Book Company, New York (1978)

    Google Scholar 

  • Ozgur, C., Kleckner, M., Li, Y.: Selection of statistical software for solving big data problems: a guide for businesses, students, and Universities. SageOpen (2015). https://doi.org/10.1177/2158244015584379

    Article  Google Scholar 

  • Peters, A.N., Winschiers-Theophilus, H., Mennecke, B.E.: Cultural influences on facebook practices: a comparative study of college students in Namibia and the United States. Comput. Hum. Behav. 49, 259–271 (2015)

    Article  Google Scholar 

  • Purdie, N., Hattie, J., Douglas, G.: Student conceptions of learning and their use of self-regulated learning strategies: a cross-cultural comparison. J. Educ. Psychol. 88(1), 87–100 (1996)

    Article  Google Scholar 

  • Ratten, V.: Factors influencing consumer purchase intention of cloud computing in the United States and Turkey: the role of performance expectancy, ethical awareness and consumer innovation. EuroMed J. Bus. 10(1), 80–97 (2015)

    Article  Google Scholar 

  • Reisdorf, B.C.: Non-adoption of the internet in Great Britain and Sweden. Inf. Commun. Soc. 14(3), 400–420 (2011)

    Article  Google Scholar 

  • Saad, R., Bahli, B.: The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Inf. & Manag. 42(2), 317–327 (2005)

    Article  Google Scholar 

  • Saeed, N., Sinnappan, S.: Multicultural Awareness and Technology in Higher Education: Global Perspectives. Comparing Learning Styles and Technology Acceptance of Two Culturally Different Groups of Students. IGI Global, Hershey (2014)

    Google Scholar 

  • Sagi, J., Carayannis, E., Dasgupta, S., Thomas, G.: Globalization and e-commerce: a cross-cultural investigation of user attitudes. Adv. Top. Glob. Inf. Manag. 5, 128–148 (2006)

    Google Scholar 

  • Salloum, S.A., Alhamad, A.Q.M., Al-Emran, M., Monem, A.A., Shaalan, K.: Exploring students’ acceptance of E-learning through the development of a comprehensive technology acceptance model. IEEE Access 7, 128445–128462 (2019)

    Article  Google Scholar 

  • Schepers, J., Wetzels, M.: A meta-analysis of the technology acceptance model: investigating subjective norm and moderation effects. Inf. Manag. 44, 90–103 (2007)

    Article  Google Scholar 

  • Schepers, J., Wetzels, M., de Ruyter, R.: Leadership styles in technology acceptance: do followers practice what leaders preach? Manag. Serv. Qual. 15(6), 496–508 (2005)

    Article  Google Scholar 

  • Šebjan, U., Tominc, P.: Impact of support of teacher and compatibility with needs of study on usefulness of SPSS by students. Comput. Hum. Behav. 53, 354–365 (2015)

    Article  Google Scholar 

  • Sensales, G., Greenfield, P.M.: Attitudes toward computers, science, and technology a cross-cultural comparison between students in Rome and los angeles. J. Cross Cult. Psychol. 26(3), 229–242 (1995)

    Article  Google Scholar 

  • Šerić, M.: Have social media made their way in classrooms? a study at three European universities. J. Int. Commun. 25(2), 230–253 (2019)

    Article  Google Scholar 

  • Shepherd, T.L., Linn, D.: Behavior and Classroom Management in the Multicultural Classroom: Proactive, Active, and Reactive strategies. Sage, Singapore (2015)

    Book  Google Scholar 

  • Shukla, S., Kumar, R.: Researcher intention to use statistical software: examine the role of statistical anxiety, self-efficacy and enjoyment. Int. J. Technol. Hum. Interact. 16(3), 39–55 (2020)

    Article  Google Scholar 

  • Singh, N., Fassott, G., Cha, M.C.H., Hoffman, J.A.: Understanding international web site usage a cross-national study of German, Brazilian, and Taiwanese online consumers. Int. Mark. Rev. 23(1), 83–97 (2006)

    Article  Google Scholar 

  • Song, Y., Kong, S.-C.: Investigating students’ acceptance of a statistics learning platform using technology acceptance model. J. Educ. Comput. Res. 55(6), 865–897 (2017)

    Article  Google Scholar 

  • Srite, M.: Culture as an explanation of technology acceptance differences: an empirical investigation of Chinese and US users. Australas. J. Inf. Syst. 14(1), 5–26 (2006)

    Google Scholar 

  • Stone, M.: Cross-validatory choice and assessment of statistical predictions. J. r. Stat. Soc. 36(2), 111–133 (1974)

    Google Scholar 

  • Straub, D., Keil, M., Brenner, W.: Testing the technology acceptance model across cultures: a three country study. Inf. Manag. 33(1), 1–11 (1997)

    Article  Google Scholar 

  • Sukendro, S., Habibi, A., Khaeruddin, K., Indrayana, B., Syahruddin, S., Makadada, F.A., Hakim, H.: Using an extended technology acceptance model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context. Heliyon 6(11), 1–9 (2020)

    Article  Google Scholar 

  • Sung, R., Mayer, R.E.: Students’ beliefs about mobile devices versus desktop computers in South Korea and the United States. Comput. Educ. 59(4), 1328–1338 (2012)

    Article  Google Scholar 

  • Tarhini, A., Hone, K., Liu, X.: A cross-cultural examination of the impact of social, organisational and individual factors on educational technology acceptance between British and Lebanese university students. Br. J. Edu. Technol. 46(4), 739–755 (2015a)

    Article  Google Scholar 

  • Tarhini, A., Scott, M.J., Sharma, S.K., Abbasi, M.S.: Differences in intention to use educational RSS feeds between Lebanese and British students: a multi-group analysis based on the technology acceptance model. Electron. J. e-Learn. 13(1), 14–29 (2015b)

    Google Scholar 

  • Tenenhaus, M., Vinzi, V.E., Chatelin, Y.-M., Lauro, C.: PLS path modeling. Comput. Stat. Data Anal. 48(1), 159–205 (2005)

    Article  Google Scholar 

  • Teo, T., Luan, W.S., Sing, C.C.: A cross-cultural examination of the intention to use technology between Singaporean and Malaysian pre-service teachers: an application of the technology acceptance model (TAM). J. Educ. Technol. Soc. 11(4), 265–280 (2008)

    Google Scholar 

  • Teo, T., Lee, C.B., Wong, S.L.: Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: a multigroup invariance analysis of the technology acceptance model (TAM). Comput. Educ. 53(3), 1000–1009 (2009)

    Article  Google Scholar 

  • Terzis, V., Moridis, C.N., Economides, A.A., Mendez, G.R.: Computer based assessment acceptance: a cross-cultural study in Greece and Mexico. Educ. Technol. Soc. 16(3), 411–424 (2013)

    Google Scholar 

  • Tham, Y.: Trade in higher education services in Malaysia: key policy challenges. High Educ. Pol. 23(1), 99–122 (2010)

    Article  Google Scholar 

  • Tham, S.Y., Kam, A.J.: Internationalising higher education: comparing the challenges of different higher education institutions in Malaysia. Asia Pacific J. Educ. 28, 353 (2008)

    Article  Google Scholar 

  • Unesco. (2015). Education for all 2000-2015: Achievements and challenges. United Nations Educational, Scientific and Cultural Organization, Paris

  • Venkatesh, V., Davis, F.D.: A model of the antecedents of perceived ease of use: development and test. Decis. Sci. 27(3), 451–481 (1996)

    Article  Google Scholar 

  • Viberg, O., Grönlund, A.: Cross-cultural analysis of users’ attitudes toward the use of mobile devices in second and foreign language learning in higher education: a case from Sweden and China. Comput. Educ. 69, 169–180 (2013)

    Article  Google Scholar 

  • Wong, S.L., Teo, T. (2009). Determinants of the intention to use technology: comparison between Malaysian and Singaporean female student teachers. Proceedings of the 17th International Conference on Computers in Education, ICCE.

  • Yi, M.Y., Fiedler, K.D., Park, J.S.: Understanding the role of individual innovativeness in the acceptance of IT-based innovations: comparative analyses of models and measures. Decis. Sci. 37(3), 393–426 (2006)

    Article  Google Scholar 

  • Yoo, S.J., Huang, W.-H.D.: Comparison of web 2.0 technology acceptance level based on cultural differences. Educ. Technol. Soc. 14(4), 241–252 (2011)

    Google Scholar 

  • Zeqiri, J., Alserhan, B.A.: University student satisfaction with blended learning: a cross-national study between North Macedonia and Jordan. Int. J. Technol. Enhanc. Learn. 13(3), 325–337 (2021)

    Article  Google Scholar 

Download references

Funding

The authors have not disclosed any funding.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ben Sebian.

Ethics declarations

Conflicts of interest

The authors declare that they have no conflicts or competing of interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix A: Measurement scale for conceptual research model

Appendix A: Measurement scale for conceptual research model

Attitude toward using SPSS

1. [AT1]: Overall, I have a positive opinion about the use of SPSS

2. [AT2]: I believe it is a good idea to use SPSS in while studying

3. [AT3]: I like the idea about the use of SPSS

4. [AT4]: I support the use of SPSS

Perceived compatibility with needs of study

1. [C1]: SPSS is appropriate in all aspects of my study program

2. [C2]: Working with SPSS fits well with my field of study

3. [C3]: Usage of SPSS complies with my study and work habits

Perceived usefulness of statistics (US)

1. [US1]: Use of expertise in statistics enables me to accomplish learning activities and obligations more quickly

2. [US2]: Use of expertise in statistics is improving my study grade average

3. [US3]: Use of expertise in statistics improves my study efficiency

4. [US4]: Expertise in statistics is useful

5. [US5]: Expertise in statistics makes my study obligations simple

6. [US6]: In my opinion is expertise in statistics useful in general

Perceived usefulness of SPSS (U)

1. [U1]: Using SPSS enables me to accomplish learning activities and obligations more quickly

2. [U2]: Using SPSS helps me accomplish my studying effectively

3. [U3]: Using SPSS enables me to accomplish learning obligations more easily

4. [U4]: In my opinion is expertise obtained of SPSS at faculty useful in general

5. [U5]: In my opinion usage of SPSS should be learned in all schools of higher education

Perceived SPSS ease of use (EU)

1. [EU1]: Using SPSS is simple and easy to understand

2. [EU2]: Learning SPSS is simple

3. [EU3]: Working with SPSS does not require much thinking

4. [EU4]: I think it is easy to get SPSS to do what I want it to do

5. [EU5]: General using SPSS is simple in understand

Intention to use SPSS in the future (IU)

1. [IU1]: I intend to use SPSS more in the future

2. [IU2]: I will use SPSS for analysis more than other statistical information support

3. [IU3]: I will share my knowledge of SPSS and recommend others to use the SPSS

  1. We used the following scale: 1 = strongly disagree, 2 = disagree, 3 = mildly disagree, 4 = neither agree nor disagree, 5 = mildly agree, 6 = agree, 7 = strongly agree.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sebian, B., Ghaviferkr, S. & Yildirim, A. Adoption and use of statistical software support in higher education: a cross-national analysis. Qual Quant 57, 4633–4656 (2023). https://doi.org/10.1007/s11135-022-01571-x

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11135-022-01571-x

Keywords

Navigation