Abstract
Scales that are psychometrically sound, meaning those that meet established standards regarding reliability and validity when measuring one or more constructs of interest, are customarily evaluated based on a set modality (i.e., computer or paper) and administration (fixed-item order). Deviating from an established administration profile could result in non-equivalent response patterns, indicating the possible evaluation of a dissimilar construct. Randomizing item administration may alter or eliminate these effects. Therefore, we examined the differences in scale relationships for randomized and nonrandomized computer delivery for two scales measuring meaning/purpose in life. These scales have questions about suicidality, depression, and life goals that may cause item reactivity (i.e., a changed response to a second item based on the answer to the first item). Results indicated that item randomization does not alter scale psychometrics for meaning in life scales, which implies that results are comparable even if researchers implement different delivery modalities.
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References
Aust F, Barth M (2017) papaja: create APA manuscripts with R Markdown. https://github.com/crsh/papaja. Accessed 31 May 2018
Bargh JA, Pratto F (1986) Individual construct accessibility and perceptual selection. J Exp Soc Psychol 22(4):293–311. https://doi.org/10.1016/0022-1031(86)90016-8
Benjamin DJ, Berger JO, Johannesson M, Nosek BA, Wagenmakers E-J, Berk R et al (2018) Redefine statistical significance. Nat Hum Behav 2(1):6–10. https://doi.org/10.1038/s41562-017-0189-z
Bethlehem J (2010) Selection bias in web surveys. Int Stat Rev 78(2):161–188. https://doi.org/10.1111/j.1751-5823.2010.00112.x
Brown T (2006) Confirmatory factor analysis for applied research, 1st edn. The Guilford Press, New York
Buchanan T, Ali T, Heffernan T, Ling J, Parrott A, Rodgers J, Scholey A (2005) Nonequivalence of on-line and paper-and-pencil psychological tests: the case of the prospective memory questionnaire. Behav Res Methods 37(1):148–154. https://doi.org/10.3758/BF03206409
Buchanan EM, Valentine KD, Schulenberg SE (2014) Exploratory and confirmatory factor analysis: developing the purpose in life test-short form. In: Bindle P (ed) SAGE research methods cases. SAGE Publications, Ltd., London. https://doi.org/10.4135/978144627305013517794
Buchanan EM, Valentine KD, Scofield JE (2017) MOTE. https://github.com/doomlab/MOTE. Accessed 31 May 2018
Buhrmester M, Kwang T, Gosling SD (2011) Amazon’s mechanical turk: a new source of inexpensive, yet high-quality, data? Perspect Psychol Sci 6(1):3–5. https://doi.org/10.1177/1745691610393980
Cantrell MA, Lupinacci P (2007) Methodological issues in online data collection. J Adv Nurs 60(5):544–549. https://doi.org/10.1111/j.1365-2648.2007.04448.x
Charters E (2004) New perspectives on popular culture, science and technology: web browsers and the new illiteracy. Coll Q 7(1):1–13
Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd edn. Earlbaum, Hillsdale
Cohen J (1992) A power primer. Psychol Bull 112(1):155–159. https://doi.org/10.1037/0033-2909.112.1.155
Cohen J (1994) The earth is round (p<.05). Am Psychol 49(12):997–1003. https://doi.org/10.1037/0003-066X.49.12.997
Comrey AL, Lee HB (1992) A first course in factor analysis, 2nd edn. Lawrence Erlbaum Associates Inc., Hillsdale
Cook C, Heath F, Thompson RL (2000) A meta-analysis of response rates in Web- or Internet-based surveys. Educ Psychol Meas 60(6):821–836. https://doi.org/10.1177/00131640021970934
Cribbie RA, Gruman JA, Arpin-Cribbie CA (2004) Recommendations for applying tests of equivalence. J Clin Psychol 60(1):1–10. https://doi.org/10.1002/jclp.10217
Cronk BC, West JL (2002) Personality research on the Internet: a comparison of Web-based and traditional instruments in take-home and in-class settings. Behav Res Methods Instrum Comput 34(2):177–180. https://doi.org/10.3758/BF03195440
Crumbaugh JC, Maholick LT (1964) An experimental study in existentialism: The psychometric approach to Frankl’s concept of noogenic neurosis. J Clin Psychol 20(2):200–207. https://doi.org/10.1002/1097-4679(196404)20:2<200::AID-JCLP2270200203>3.0.CO;2-U
Cumming G (2012) Understanding the new statistics: effect sizes, confidence intervals, and meta-analysis, 1st edn. Routledge, New York
Cumming G (2014) The new statistics: why and how. Psychol Sci 25(1):7–29. https://doi.org/10.1177/0956797613504966
De Leeuw ED, Hox JJ (1988) The effects of response-stimulating factors on response rates and data quality in mail surveys: a test of Dillman’s total design method. J Off Stat 4(3):241–249
Deutskens E, de Ruyter K, Wetzels M (2006) An assessment of equivalence between online and mail surveys in service research. J Serv Res 8(4):346–355. https://doi.org/10.1177/1094670506286323
DeVellis RF (2016) Scale development: theory and applications, 4th edn. Sage, Thousand Oaks
Dienes Z (2014) Using Bayes to get the most out of non-significant results. Front Psychol 5(July):1–17. https://doi.org/10.3389/fpsyg.2014.00781
Dillman DA, Smyth JD, Christian LM (2008) Internet, mail, and mixed-mode surveys: the tailored design method, 3rd edn. Wiley, Hoboken
Dunlap WP, Cortina JM, Vaslow JB, Burke MJ (1996) Meta-analysis of experiments with matched groups or repeated measures designs. Psychol Methods 1(2):170–177. https://doi.org/10.1037/1082-989X.1.2.170
Etz A, Wagenmakers E-J (2017) JBS Haldane’s contribution to the Bayes factor hypothesis test. Stat Sci 32(2):313–329. https://doi.org/10.1214/16-STS599
Fang J, Wen C, Pavur R (2012a) Participation willingness in web surveys: exploring effect of sponsoring corporation’s and survey provider’s reputation. Cyberpsychol Behav Soc Netw 15(4):195–199. https://doi.org/10.1089/cyber.2011.0411
Fang J, Wen C, Prybutok VR (2012b) An assessment of equivalence between Internet and paper-based surveys: evidence from collectivistic cultures. Qual Quant 48(1):493–506. https://doi.org/10.1007/s11135-012-9783-3
Feldman JM, Lynch JG (1988) Self-generated validity and other effects of measurement on belief, attitude, intention, and behavior. J Appl Psychol 73(3):421–435. https://doi.org/10.1037/0021-9010.73.3.421
Frick A, Bächtiger MT, Reips U-D (2001) Financial incentives, personal information and dropout in online studies. In: Reips U-D, Bosnjak M (eds) Dimensions of internet science, 1st edn. Pabst Science Publishers, Lengerich, pp 209–219
Gallistel CR (2009) The importance of proving the null. Psychol Rev 116(2):439–53. https://doi.org/10.1037/a0015251
Henrich J, Heine SJ, Norenzayan A (2010) The weirdest people in the world? Behav Brain Sci 33(2–3):61–83. https://doi.org/10.1017/S0140525X0999152X
Higgins E, Lurie L (1983) Context, categorization, and recall: the “change-of-standard” effect. Cognit Psychol 15(4):525–547. https://doi.org/10.1016/0010-0285(83)90018-X
Hox JJ, De Leeuw ED (1994) A comparison of nonresponse in mail, telephone, and face-to-face surveys. Qual Quant 28(4):329–344. https://doi.org/10.1007/BF01097014
Hutzell R (1988) A review of the purpose in life test. Int Forum Logother 11(2):89–101
Ilieva J, Baron S, Healy NM (2002) On-line surveys in international marketing research: pros and cons. Int J Mark Res 44(3):361–376
Jamovi Project (2018) jamovi (Version 0.8)[Computer software]. https://www.jamovi.org. Accessed 31 May 2018
JASP Team (2018) JASP (Version 0.8.6)[Computer software]. https://jasp-stats.org/. Accessed 31 May 2018
Joinson A (1999) Social desirability, anonymity, and Intemet-based questionnaires. Behav Res Methods Instrum Comput 31(3):433–438. https://doi.org/10.3758/BF03200723
Kass RE, Raftery AE (1995) Bayes Factors. J Am Stat Assoc 90(430):773–795. https://doi.org/10.2307/2291091
Keppel G, Wickens T (2004) Design and analysis: a researcher’s handbook, 4th edn. Prentice Hall, Upper Saddle River
Knowles ES, Coker MC, Cook DA, Diercks SR, Irwin ME, Lundeen EJ, Sibicky ME (1992) Order effects within personality measures. In: Schwarz N, Sudman S (eds) Context effects in social and psychological research, 1st edn. Springer, New York, pp 221–236
Lakens D (2013) Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs. Front Psychol 4:863. https://doi.org/10.3389/fpsyg.2013.00863
Lakens D (2017) Equivalence tests. Soc Psychol Personal Sci 8(4):355–362. https://doi.org/10.1177/1948550617697177
Lakens D, Adolfi FG, Albers CJ, Anvari F, Apps MAJ, Argamon SE, Zwaan RA (2018) Justify your alpha. Nat Hum Behav 2(3):168–171. https://doi.org/10.1038/s41562-018-0311-x
Lee MD, Wagenmakers E-J (2014) Bayesian cognitive modeling: a practical course, 1st edn. Cambridge University Press, New York
Lewis I, Watson B, White KM (2009) Internet versus paper-and-pencil survey methods in psychological experiments: equivalence testing of participant responses to health-related messages. Aust J Psychol 61(2):107–116. https://doi.org/10.1080/00049530802105865
Lord CG, Lepper MR, Preston E (1984) Considering the opposite: a corrective strategy for social judgment. J Personal Soc Psychol 47(6):1231–1243. https://doi.org/10.1037/0022-3514.47.6.1231
Ly A, Verhagen J, Wagenmakers E-J (2016) Harold Jeffreys’s default Bayes factor hypothesis tests: explanation, extension, and application in psychology. J Math Psychol 72:19–32. https://doi.org/10.1016/J.JMP.2015.06.004
MacLeod C, Campbell L (1992) Memory accessibility and probability judgments: an experimental evaluation of the availability heuristic. J Personal Soc Psychol 63(6):890–902. https://doi.org/10.1037/0022-3514.63.6.890
Media (2016) The total audience report: Q1 2016
Melton AMA, Schulenberg SE (2008) On the measurement of meaning: logotherapy’s empirical contributions to humanistic psychology. Humanist Psychol 36(1):31–44. https://doi.org/10.1080/08873260701828870
Meredith W (1993) Measurement invariance, factor analysis and factorial invariance. Psychometrika 58(4):525–543. https://doi.org/10.1007/BF02294825
Meyerson P, Tryon WW (2003) Validating Internet research: a test of the psychometric equivalence of Internet and in-person samples. Behav Res Methods Instrum Comput 35(4):614–620. https://doi.org/10.3758/BF03195541
Morey RD (2015) On verbal categories for the interpretation of Bayes factors. http://bayesfactor.blogspot.com/2015/01/on-verbal-categories-for-interpretation.html. Accessed Oct 2017
Morey RD, Rouder JN (2015) BayesFactor: computation of Bayes Factors for common designs. https://cran.r-project.org/package=BayesFactor. Accessed 31 May 2018
Musch J, Reips U-D (2000) A brief history of web experimenting. In: Birnbaum MH (ed) Psychological experiments on the internet, 1st edn. Elsevier, New York, pp 61–87. https://doi.org/10.1016/B978-012099980-4/50004-6
Nosek BA, Banaji MR, Greenwald AG (2002) E-research: ethics, security, design, and control in psychological research on the Internet. J Soc Issues 58(1):161–176. https://doi.org/10.1111/1540-4560.00254
Olson K (2010) An examination of questionnaire evaluation by expert reviewers. Field Methods 22(4):295–318. https://doi.org/10.1177/1525822X10379795
Panter AT, Tanaka JS, Wellens TR (1992) Psychometrics of order effects. In: Schwarz N, Sudman S (eds) Context effects in social and psychological research, 1st edn. Springer, New York, pp 249–264
Petty RE, Cacioppo JT (1986) Communication and persuasion: central and peripheral routes to attitude change, 1st edn. Springer, New York
Posner MI (1978) Chronometric explorations of mind, 1st edn. Erlbaum, Hillsdale
Preacher KJ, MacCallum RC (2003) Repairing Tom Swift’s electric factor analysis machine. Underst Stat 2(1):13–43. https://doi.org/10.1207/S15328031US0201_02
Reips U-D (2002) Standards for internet-based experimenting. Exp Psychol 49(4):243–256. https://doi.org/10.1026/1618-3169.49.4.243
Reips U-D (2012) Using the Internet to collect data. In: Cooper H, Camic PM, Long DL, Panter AT, Rindskopf D, Sher KJ (eds) APA handbook of research methods in psychology, vol 2. Research designs: quantitative, qualitative, neuropsychological, and biological. American Psychological Association, Washington, DC, pp 291–310. https://doi.org/10.1037/13620-017
Revelle W (2017) psych: procedures for psychological, psychometric, and personality research. Northwestern University, Evanston. https://cran.r-project.org/package=psych
Rogers T (1974) An analysis of the stages underlying the process of responding to personality items. Acta Psychol 38(3):205–213. https://doi.org/10.1016/0001-6918(74)90034-1
Rogers JL, Howard KI, Vessey JT (1993) Using significance tests to evaluate equivalence between two experimental groups. Psychol Bull 113(3):553–565. https://doi.org/10.1037/0033-2909.113.3.553
Rouder JN, Speckman PL, Sun D, Morey RD, Iverson G (2009) Bayesian t tests for accepting and rejecting the null hypothesis. Psychon Bull Rev 16(2):225–237. https://doi.org/10.3758/PBR.16.2.225
Salancik GR, Brand JF (1992) Context influences on the meaning of work. In: Schwarz N, Sudman S (eds) Context efects in social and psychological research. Springer, New York, pp 237–247
Sanou B (2017) ICT facts and figures 2017. http://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2017.pdf. Accessed Oct 2017
Schuirmann DJ (1987) A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability. J Pharmacokinet Biopharm 15(6):657–680. https://doi.org/10.1007/BF01068419
Schuldt BA, Totten JW (1994) Electronic mail vs. mail survey response rates. Market Res 6:36–39
Schulenberg SE (2004) A psychometric investigation of logotherapy measures and the Outcome Questionnaire (OQ-45.2). N Am J Psychol 6(3):477–492
Schulenberg SE, Melton AMA (2010) A confirmatory factor-analytic evaluation of the purpose in life test: preliminary psychometric support for a replicable two-factor model. J Happiness Stud 11(1):95–111. https://doi.org/10.1007/s10902-008-9124-3
Schulenberg SE, Yutrzenka BA (1999) The equivalence of computerized and paper-and-pencil psychological instruments: implications for measures of negative affect. Behav Res Methods Instrum Comput 31(2):315–321. https://doi.org/10.3758/BF03207726
Schulenberg SE, Yutrzenka BA (2001) Equivalence of computerized and conventional versions of the Beck Depression Inventory-II (BDI-II). Curr Psychol 20(3):216–230. https://doi.org/10.1007/s12144-001-1008-1
Schulenberg SE, Schnetzer LW, Buchanan EM (2011) The purpose in life test-short form: development and psychometric support. J Happiness Stud 12(5):861–876. https://doi.org/10.1007/s10902-010-9231-9
Smithson M (2001) Correct confidence intervals for various regression effect sizes and parameters: the importance of noncentral distributions in computing intervals. Educ Psychol Meas 61(4):605–632. https://doi.org/10.1177/00131640121971392
Smyth JD (2006) Comparing check-all and forced-choice question formats in web surveys. Public Opin Q 70(1):66–77. https://doi.org/10.1093/poq/nfj007
Steenkamp JEM, Baumgartner H (1998) Assessing measurement invariance in cross-national consumer research. J Consum Res 25(1):78–107. https://doi.org/10.1086/209528
Strack F, Martin LL (1987) Thinking, judging, and communicating: a process account of context effects in attitude surveys. Recent research in psychology. Springer, New York, pp 123–148. https://doi.org/10.1007/978-1-4612-4798-2_7
Strack KM, Schulenberg SE (2009) Understanding empowerment, meaning, and perceived coercion in individuals with serious mental illness. J Clin Psychol 65(10):1137–1148. https://doi.org/10.1002/jclp.20607
Strack F, Schwarz N, Gschneidinger E (1985) Happiness and reminiscing: the role of time perspective, affect, and mode of thinking. J Personal Soc Psychol 49(6):1460–1469. https://doi.org/10.1037/0022-3514.49.6.1460
Tabachnick BG, Fidell LS (2012) Using multivariate statistics, 6th edn. Pearson, Boston
Tesser A (1978) Self-generated attitude change. In: Berkowitz L (ed) Advances in experimental social psychology, vol 11. Elsevier, New York. pp 289–338. https://doi.org/10.1016/S0065-2601(08)60010-6
Tourangeau R, Rasinski KA (1988) Cognitive processes underlying context effects in attitude measurement. Psychol Bull 103(3):299–314. https://doi.org/10.1037/0033-2909.103.3.299
Tourangeau R, Rips LJ, Rasinski K (1999) The psychology of survey response, 1st edn. Cambridge University Press, Cambridge
Trent LR, Buchanan E, Ebesutani C, Ale CM, Heiden L, Hight TL, Young J (2013) A measurement invariance examination of the Revised Child Anxiety and Depression Scale in a southern sample: differential item functioning between African American and Caucasian youth. Assessment 20(2):175–187. https://doi.org/10.1177/1073191112450907
Tversky A, Kahneman D (1973) Availability: a heuristic for judging frequency and probability. Cognit Psychol 5(2):207–232. https://doi.org/10.1016/0010-0285(73)90033-9
Valentine KD, Buchanan EM, Scofield JE, Beauchamp M (2017) Beyond p-values: utilizing multiple estimates to evaluate evidence 1–29. https://doi.org/10.17605/osf.io/9hp7y
Van Buuren S, Groothuis-Oudshoorn K (2011) mice: multivariate imputation by chained equations in R. J Stat Softw 45(3):1–67. https://doi.org/10.18637/jss.v045.i03
Wagenmakers E-J (2007) A practical solution to the pervasive problems of p values. Psychon Bull Rev 14(5):779–804. https://doi.org/10.3758/BF03194105
Wagenmakers E-J, Morey RD, Lee MD (2016) Bayesian benefits for the pragmatic researcher. Curr Direct Psychol Sci 25(3):169–176. https://doi.org/10.1177/0963721416643289
Webb ES, Campbell DT, Schwartz RD, Sechrest L (1966) Unobtrusive measures: nonreactive research in the social sciences, 1st edn. Rand McNally, Chicago
Weigold A, Weigold IK, Russell EJ (2013) Examination of the equivalence of self-report survey-based paper-and-pencil and internet data collection methods. Psychol Methods 18(1):53–70. https://doi.org/10.1037/a0031607
Worthington RL, Whittaker TA (2006) Scale development research: a content analysis and recommendations for best practices. Couns Psychol 34(6):806–838. https://doi.org/10.1177/0011000006288127
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Communicated by Kentaro Kato.
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Buchanan, E.M., Foreman, R.E., Johnson, B.N. et al. Does the delivery matter? Examining randomization at the item level. Behaviormetrika 45, 295–316 (2018). https://doi.org/10.1007/s41237-018-0055-y
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DOI: https://doi.org/10.1007/s41237-018-0055-y
Keywords
- Scales
- Randomization
- Item analysis