Validation of the Child Sexual Abuse Knowledge Questionnaire

References

• Australian Bureau of Statistics. (2014). Recorded crime: Victims, Australia, 2013 (Cat. no. 4510.0). Canberra: Author.
   Google Scholar
• Barnette, J. J. (2000). Effects of stem and Likert response option reversals on survey internal consistency: If you feel the need, there is a better alternative to using those negatively worded stems. Educational and Psychological Measurement, 60, 361–370. doi: 10.1177/00131640021970592
   Web of Science ®Google Scholar
• Barnette, J. J. (2001). Likert survey primacy effect in the absence or presence of negatively worded items. Research in the Schools, 8, 77–82.
   Google Scholar
• Bederian-Gardner, D., & Goldfarb, D. (2014). Expectations of emotions during testimony: The role of communicator and perceiver characteristics. Behavioral Sciences and the Law, 32, 829–845. doi:10.1002/bsl.2146
   PubMed Web of Science ®Google Scholar
• Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238–246. doi: 10.1037/0033-2909.107.2.238
   PubMed Web of Science ®Google Scholar
• Blackwell, S. (2005, November). Expert psychological evidence in child sexual abuse trials in New Zealand. Paper presentation at The National Judicial College Conference on Children and the Courts, Museum of Sydney, Australia.
   Google Scholar
• Blackwell, S., & Seymour, F. (2014). Prediction of jury verdicts in child sexual assault trials. Psychiatry, Psychology and Law, 21, 567–576. doi:10.1080/13218719.2013.856278
   Web of Science ®Google Scholar
• Brodsky, S. L., Griffin, M. P., & Cramer, R. J. (2010). The witness credibility scale: An outcome measure for expert witness research. Behavioral Sciences and the Law, 28, 892–907. doi:10.1002/bsl.917
   PubMed Web of Science ®Google Scholar
• Brown, T., Frederico, M., Hewitt, L., & Sheehan, R. (1998). Problems and solutions in the management of child abuse allegations in custody and access disputes in the family court. Family Court Review, 36(4), 431–443. doi: 10.1111/j.174-1617.1998.tb01088.x
   Google Scholar
• Browne, M. W., & Cudeck, R. (1993). Alternative way of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.
   Google Scholar
• Byrne, B. M. (2012). Structural equation modelling with Mplus: Basic concepts, applications, and programming. New York, NY: Taylor & Francis Group.
   Google Scholar
• Ceci, S., Crossman, A., Scullin, M., Gilstrap, L., & Huffman, M. L. (2002). Children’s suggestibility research: Implications for the courtroom and the forensic interview. In H. Westcott, G. Davies, & R. Bull (Eds.), Children’s testimony: A handbook of psychological research and forensic practice (pp. 117–130). Chichester: John Wiley & Sons.
   Google Scholar
• Ceci, S. J., & Bruck, M. (1993). The suggestibility of the child witness: A historical review and synthesis. Psychological Bulletin, 113, 403–439. doi: 10.1037/0033-2909.113.3.403
   PubMed Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
   Google Scholar
• Collings, S. J. (1997). Development, reliability, and validity of the child sexual abuse myth scale. Journal of Interpersonal Violence, 12(5), 665–674. doi: 10.1177/088626097012005004
   Web of Science ®Google Scholar
• Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis. Hillsdale, NJ: Erlbaum.
   Google Scholar
• Cossins, A. (2000). Masculinities, sexualities and child sexual abuse. London: Kluwer Law International.
   Google Scholar
• Cossins, A., & Goodman-Delahunty, J. (2016, February 13–14). Jury views of psychological expert evidence about child sexual abuse. Paper presentation at the Public Defenders’ Criminal Law Conference, Sydney, Australia. Retrieved from http://www.publicdefenders.nsw.gov.au/Documents/Examination20of20child%20witnesses.pdf
   Google Scholar
• Cossins, A., Goodman-Delahunty, J., & O’Brien, K. (2009). Uncertainty and misconceptions about child sexual abuse: Implications for the criminal justice system. Psychiatry, Psychology and Law, 16, 435–452. doi: 10.1080/13218710902930234
   Web of Science ®Google Scholar
• Cossins, A., Jayakody, A., Norrie, C., & Parkinson, P. (2016). The role of photographic and video documentation in the investigation and prosecution of child sexual assault. Journal of Law and Medicine, 23, 1–13.
   Web of Science ®Google Scholar
• Cramer, R. J., DeCoster, J., Neal, T. M. S., & Brodsky, S. L. (2013). The observed witness efficacy scale: A measure of effective testimony skills. Journal of Applied Social Psychology, 43(8), 1696–1703. doi: 10.1111/jasp.12124
   Web of Science ®Google Scholar
• Cromer, L. D., & Goldsmith, R. E. (2010). Child sexual abuse myths: Attitudes, beliefs, and individual differences. Journal of Child Sexual Abuse, 19(6), 618–647. doi: 10.1080/10538712.2010.522493
   PubMed Web of Science ®Google Scholar
• Cronbach, L. J. (1951). Coefficient alpha and the internal structure of a test. Psychometrika, 16, 297–334. doi: 10.1007/BF02310555
   Web of Science ®Google Scholar
• Dympna House. (1990). Facing the unthinkable. Haberfield: Lawrence, A.
   Google Scholar
• Finkelhor, D., Hotaling, G., Lewis, I., & Smith, C. (1990). Sexual abuse in a national survey of adult men and women: Prevalence, characteristics, and risk factors. Child Abuse and Neglect, 14, 19–28. doi: 10.1016/0145-2134(90)90077-7
   PubMed Web of Science ®Google Scholar
• Gabora, N. T., Spanos, N. P., & Joab, A. (1993). The effects of complainant age and expert psychological testimony in a simulated child sexual abuse trial. Law and Human Behavior, 17(1), 103–119. doi: 10.1007/BF01044540
   Web of Science ®Google Scholar
• Gobbo, C., Mega, C., & Pipe, M. E. (2002). Does the nature of the experience influence suggestibility? A study of children’s event memory. Journal of Experimental Child Psychology, 81, 502–530. doi: 10.1006/jecp.2002.2662
   PubMed Web of Science ®Google Scholar
• Goodman-Delahunty, J., Cossins, A., & Martschuk, N. (2016). Jury reasoning in joint and separate trials of institutional child sexual abuse: An empirical study. Report to the Royal Commission into Institutional Responses to Child Sexual Abuse. Retrieved from http://www.childabuseroyalcommission.gov.au/getattachment/b268080d-599a-4d44-a9c5-c3f8181bae96/Jury-reasoning-in-joint-trials-of-institutional-ch
   Google Scholar
• Goodman-Delahunty, J., Cossins, A., & O’Brien, K. (2010). Enhancing the credibility of complainants in child sexual assault trials: The effect of expert evidence and judicial directions on. Behavioural Sciences and the Law, 28, 769–783. doi: 10.1002/bsl.936
   PubMed Web of Science ®Google Scholar
• Goodman-Delahunty, J., Cossins, A., & O'Brien, K. (2011). A comparison of expert evidence and judicial directions to counter misconceptions in child sexual abuse trials. Australian and New Zealand Journal of Criminology, 44(2), 196–217. doi: 10.1177/0004865811405140
   Web of Science ®Google Scholar
• Goodman-Delahunty, J., Martschuk, N., & Cossins, A. (2016). Programmatic pretest-posttest research to reduce jury bias in child sexual abuse cases. Oñati Socio-Legal Series, 6(2), 283–214. Retrieved from http://ssrn.com/abstract=2786072
   Google Scholar
• Harris, L., Goodman, G. S., Augusti, E.-M., Chae, Y., & Alley, D. (2009). Children’s resistance to suggestion. In K. Kuenhle & M. Connell (Eds.), The evaluation of child sexual abuse allegations (pp. 181–202). New York: Wiley.
   Google Scholar
• Heger, A., Ticson, L., Velasquez, O., & Bernier, R. (2002). Children referred for possible sexual abuse: Medical findings in 2384 children. Child Abuse & Neglect, 26, 645–659. doi: 10.1016/S0145-2134(02)00339-3
   PubMed Web of Science ®Google Scholar
• Hu, L.-T., & Bentler, P. M. (1995). Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modelling: Concepts, issues, and applications (pp. 76–99). Thousand Oaks, CA: Sage.
   Google Scholar
• Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55. doi: 10.1080/10705519909540118
   Web of Science ®Google Scholar
• Johnson, C. F. (2004). Child sexual abuse. The Lancet, 364, 462–470. doi: 10.1016/S0140-6736(04)16771-8
   PubMed Web of Science ®Google Scholar
• Johnson, J. M., Bristow, D. N., & Schneider, K. C. (2004). Did you not understand the question or not? An investigation of negatively worded questions in survey research. Journal of Applied Business Research, 20, 75–86.
   Google Scholar
• Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modelling with the SIMPLIS command language. Chicago, IL: Scientific Software International.
   Google Scholar
• Kline, P. (1994). An easy guide to factor analysis. New York, NY: Routledge.
   Google Scholar
• Kovera, M. B., & Austin, J. L. (2016). Identifying juror bias: Moving from assessment and prediction to a new generation of jury selection research. In C. Willis-Esqueda & B. H. Bornstein (Eds.), The witness stand and Lawrence S. Wrightsman, Jr. (pp. 75–94). New York: Springer.
   Google Scholar
• Kovera, M. B., & Borgida, E. (1997). Expert testimony in child sexual abuse trials: The admissibility of psychological science. Applied Cognitive Psychology, 11, S105–S129. doi: 10.1002/(SICI)1099-0720(199712)11:7<S105::AID-ACP529>3.0.CO;2-#
   Web of Science ®Google Scholar
• Lecci, L., & Myers, B. (2002). Examining the construct validity of the original and revised JBS: A cross-validation of sample and method. Law and Human Behavior, 26, 455–463. doi: 10.1023/A:1016335422706
   PubMed Web of Science ®Google Scholar
• Lecci, L., & Myers, B. (2008). Individual differences in attitudes relevant to juror decision making: Development and validation of the pretrial juror attitude questionnaire (PJAQ). Journal of Applied Social Psychology, 38, 2010–2038. doi: 10.1111/j.1559-1816.2008.00378.x
   Web of Science ®Google Scholar
• London, K., Bruck, M., Ceci, S. J., & Shuman, D. W. (2005). Disclosure of child sexual abuse: What does the research tell us about the ways that children tell? Psychology, Public Policy, and Law, 11, 194–226. doi: 10.1037/1076-8971.11.1.194
   Web of Science ®Google Scholar
• London, K., & Kulkofsky, S. (2009). Factors affecting the reliability of children’s reports. In G. M. Davies & D. B. Wright (Eds.), New frontiers in applied memory (pp. 119–141). New York, NY: Psychology Press.
   Google Scholar
• Lord, F., & Novick, M. (1968). Factor analysis and related methods. Hillsdale, NJ: Lawrence Erlbaum.
   Google Scholar
• Morison, S., & Greene, E. (1992). Juror and expert knowledge of child sexual abuse. Child Abuse and Neglect, 16, 595–613. doi: 10.1016/0145-2134(92)90075-3
   PubMed Web of Science ®Google Scholar
• Murachver, T., Pipe, M. E., Gordon, R., Owens, J. L., & Fivush, R. (1996). Do, show and tell: Children’s event memories acquired through direct experience, observation, and stories. Child Development, 67, 3029–3044. doi: 10.2307/1131765
   Web of Science ®Google Scholar
• Muthén, L. K., & Muthén, B. O. (2014). Mplus Version 7.3 Base Program [Computer software]. Los Angeles, CA: Muthén & Muthén.
   Google Scholar
• National Institute of Justice. (2003). Youth victimization: Prevalence and implications. Washington, DC: US Department of Justice.
   Google Scholar
• NSW Child Protection Council. (2000). Child sexual assault: How to talk to children. Sydney: Author.
   Google Scholar
• Oates, R. K., Jones, D. P., Denson, D., Sirotnak, A., Gary, N., & Krugman, R. D. (2000). Erroneous concerns about child sexual abuse. Child Abuse & Neglect, 24, 149–157. doi: 10.1016/S0145-2134(99)00108-8
   PubMed Web of Science ®Google Scholar
• Pelisoli, C., Herman, S., & Dell’Aglio, D. D. (2015) Child sexual abuse research knowledge among child abuse professionals and laypersons. Child Abuse & Neglect, 40, 36–47. doi: 10.1016/j.chiabu.2014.08.010
   PubMed Web of Science ®Google Scholar
• Powell, M., Westera, N., Goodman-Delahunty, J., & Pichler, A. (2016). An evaluation of how evidence is elicited from complainants of child sexual abuse. Sydney: Royal Commission into Institutional Responses to Child Sexual Abuse. Retrieved from http://www.childabuseroyalcommission.gov.au/getattachment/f2e642e9-7e93-46a5-aab8-2175e46b90d7/An-evaluation-of-how-evidence-is-elicited-from-com
   Google Scholar
• Quas, J. A., Thompson, W. C., & Clarke-Stewart, K. A. (2005). Do jurors ‘know’ what isn’t so about child witnesses? Law and Human Behavior, 29, 425–456. doi: 10.1007/s10979-005-5523-8
   PubMed Web of Science ®Google Scholar
• Raykov, T. (1997). Scale reliability, Cronbach’s alpha, and violations of essential tau-equivalence with fixed congeneric components. Multivariate Behavioral Research, 32, 329–353. doi: 10.1207/s15327906mbr3204_2
   PubMed Web of Science ®Google Scholar
• Raykov, T. (2002). Analytic estimation of standard error and confidence interval for scale reliability. Multivariate Behavioral Research, 37, 89–103. doi: 10.1207/S15327906MBR3701_04
   PubMed Web of Science ®Google Scholar
• Regan, P. C., & Baker, S. J. (1998). The impact of child witness demeanor on perceived credibility and trial outcome in sexual abuse cases. Journal of Family Violence, 13, 187–195. doi: 10.1023/A:1022845724226
   Web of Science ®Google Scholar
• Richards, K. (2011). Misperceptions about child sex offenders. Trends and Issues in Crime and Criminal Justice, 429, 1–8.
   Google Scholar
• Roszkowski, M. J., & Soven, M. (2010). Shifting gears: Consequences of including two negatively worded items in the middle of a positively worded questionnaire. Assessment and Evaluation in Higher Education, 35, 113–130. doi: 10.1080/02602930802618344
   Web of Science ®Google Scholar
• Sayfan, L., Mitchell, E. B., Goodman, G. S., Eisen, M. L., & Qin, J. (2008). Children’s expressed emotions when disclosing maltreatment. Child Abuse and Neglect, 32, 1026–1036. doi: 10.1016/j.chiabu.2008.03.004
   PubMed Web of Science ®Google Scholar
• Schaaf, J. M., Bederian-Gardiner, D., & Goodman, G. S. (2015). Gating out misinformation: Can young children follow instructions to ignore false information? Behavioral Sciences and the Law, 33, 390–406. doi: 10.1002/bsl.2195
   PubMed Web of Science ®Google Scholar
• Seymour, F., Blackwell, S., Calvert, S., & McLean, B. (2014). Counterintuitive expert psychological evidence in child sexual abuse trials in New Zealand. Psychiatry, Psychology and Law, 21, 511–522. doi: 10.1080/13218719.2013.839930
   Web of Science ®Google Scholar
• Shackel, R. L. (2008). The beliefs commonly held by adults about children’s behavioral responses to sexual victimization. Child Abuse & Neglect, 32, 485–495. doi: 10.1016/j.chiabu.2007.04.016
   PubMed Web of Science ®Google Scholar
• Smith, L. L., & Bull, R. (2012). Identifying and measuring juror pre-trial bias for forensic evidence: Development and validation of the forensic evidence evaluation bias scale. Psychology, Crime & Law, 18, 797–815. doi: 10.1080/1068316X.2011.561800
   Web of Science ®Google Scholar
• Steiger, J. H., & Lind, J. C. (1980, June). Statistically based tests for the number of common factors. Paper presentation at the Annual Meeting of the Psychometric Society, Iowa City, IA.
   Google Scholar
• Stolzenberg, S. N., & Lyon, T. D. (2014). How attorneys question children about the dynamics of sexual abuse and disclosure in criminal trials. Psychology, Public Policy, and Law, 20(1), 19–30. doi: 10.1037/a0035000
   PubMed Web of Science ®Google Scholar
• Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Boston, MA: Pearson Education.
   Google Scholar
• Tabak S. J., & Klettke, B. (2014). Mock jury attitudes towards credibility, age, and guilt in a fictional child sexual assault scenario. Australian Journal of Psychology, 66, 47–55. doi:10.1111/ajpy.12035
   Web of Science ®Google Scholar
• Tamarack, L. I. (1986). Fifty myths and facts about child sexual abuse. In E. Schlesinger (Ed.), Sexual abuse of children in the 1980s (pp. 3–15). Toronto: University of Toronto Press.
   Google Scholar
• Tanaka, J. S. (1987). How big is big enough? Sample size and goodness of fit in structural equation models with latent variables. Child Development, 58, 134–146. doi: 10.2307/1130296
   Web of Science ®Google Scholar
• Taylor, N., & Joudo, J. (2005). The impact of pre-recorded video and closed circuit television testimony by adult sexual assault complainants on jury decision-making: An experimental study (Research and public policy series no. 68). Canberra: Australian Institute of Criminology.
   Google Scholar
• Trochmé, N., & Bala, N. (2005). False allegations of abuse and neglect when parents separate. Child Abuse & Neglect, 29, 1333–1345. doi: 10.1016/j.chiabu.2004.06.016
   PubMed Web of Science ®Google Scholar
• Trocmé, N. M., Tourigny, M., MacLaurin, B., & Fallin, B. (2003). Major findings from the Canadian incidence study of reported child abuse and neglect. Child Abuse & Neglect, 27, 1427–1439. doi: 10.1016/j.chiabu.2003.07.003
   PubMed Web of Science ®Google Scholar
• Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1–10. doi: 10.1007/BF02291170
   Web of Science ®Google Scholar
• Wessel, E., Magnussen, S., & Melinder, A. M. D. (2013). Expressed emotions and perceived credibility of child mock victims disclosing physical abuse. Applied Cognitive Psychology, 27, 611–616.
   Web of Science ®Google Scholar
• Wood, B., Orsak, C., Murphy, M., & Cross, H. J. (1996). Semi-structured child sexual abuse interviews: Interview and child characteristics related to credibility of disclosure. Child Abuse and Neglect, 20, 81–92. doi: 10.1016/0145-2134(95)00118-2
   PubMed Web of Science ®Google Scholar