Data scoring
An a priori scoring sheet was used to score participants’ free and cued recall responses (see Van Oorsouw et al. 2012; 2015). The sheet contained 53 details that referred to the surroundings, events and people depicted in the video.Footnote 1 The scoring sheet outlined the details of the video in their smallest units of description (e.g. barstool with orange cushion and brown legs represented 5 units of information: Barstool (1) with orange (1) cushion and (1) brown (1) legs (1)).
The free recall data were scored according to whether each detail participants reported was correct, an error, unscorable information or incorrect PEI. A detail was scored as correct if it accurately described the events in the video (e.g. ‘the walls in the pub were red’ when indeed the walls were red). Participants received a correct point for each unit of correct information provided (e.g. ‘the victim was a dark-haired female in a black and white dress’ would be scored as four correct details, i.e. dark-haired (1), female (1) and black and white (1) dress (1)). A detail was described as an error if it incorrectly described a detail from the video (e.g. ‘the victim had blonde hair’ when in fact the victim had dark brown hair). Information was unscorable when it referred to subjective feelings or the opinions of participants (e.g. ‘I think she looked shifty’). Finally, incorrect PEI referred to erroneous details reported by the video confederate that participants incorporated into their own accounts.
For the free recall data, the total number of details in each response category was recorded. Additionally, an accuracy rate was computed by dividing the number of correct details by the total number of details reported. A subset of fourteen (> 20% of the total sample) free recall accounts was independently coded by a second individual who was blind to the BACs of participants and the hypotheses of the study. Significant inter-coder reliability was shown across all response categories (see Table 1). For the cued recall data, each question was scored as either ‘correct’, ‘incorrect’, ‘incorrect PEI’ or ‘I don’t know’. Twenty percent of cued recall data was similarly double scored, and significant inter-coder reliability was also demonstrated (see Table 2). Accuracy rates were computed for each question category (questions for which participants received correct PEI, incorrect PEI or no PEI) in the same way as outlined above. Both coders were blind to participant intoxication level at the point of coding the data. The second coder was additionally blind to the study hypotheses.
Table 1 Intra class correlation coefficients between coders for each response type in the free recall Table 2 Intra class correlation coefficients between coders for each response type in the cued recall For the source monitoring question, responses were scored as incorrect when (a) participants incorporated incorrect PEI from the video witness in their cued recall answers but incorrectly stated that they only included answers based upon the video and/or (b) if participants did not include any incorrect PEI but incorrectly stated that they did include details based upon the witness. Responses were scored as correct when participants reported incorrect PEI and stated that their answers were based on the statement by the co-witness or both (i.e. co-witness and video). Responses were also coded as correct if participants did not report any incorrect PEI and stated that their answers were entirely based on their own memory of the video.
Subjective and objective consumption of alcohol
The mean number of alcoholic drinks participants reported having consumed was 2.45 (SD = 2.02) with a range from 0 to 9. The mean BAC of participants who were intoxicated was 0.05%, with a range from 0.01 to 0.19%. The number of drinks participants reported having consumed was significantly positively correlated with their BAC reading, r = 0.61, N = 67, p < 0.001, 95% CI [0.47, 0.75]. The mean score on the AUDIT-C was 8.13 (SD = 2.26), ranging from 4 to 12. Bivariate correlations indicated a significant positive relationship between AUDIT-C score and the number of drinks consumed on the night of testing, r = 0.36, p = 0.003. Additionally, there was a significant positive relationship between BAC and AUDIT-C score, r = 0.30, p = 0.012. Those who scored higher on the AUDIT-C reported consuming more alcoholic beverages on the testing night and had a higher BAC. Participants were asked what type of alcoholic drink, if any, they had consumed prior to testing. Twenty-two participants reported consuming beer, three reported wine, nine spirits and seven reported consuming a mix of beverages. The remaining twenty-six participants either did not consume any alcoholic drinks or did not report what type of drinks they had consumed.
Free recall
For the free recall data, correlations with bootstrapping of 1000 samples were used to examine the relationship between intoxication level and memory completeness, accuracy and the number of incorrect PEI items reported. Memory completeness was calculated as the total number of details participants reported, whilst accuracy rate was calculated as the number of correct details reported divided by the total number of details reported. There were significant negative correlations between BAC and completeness, r = − 0.48, N = 63, p = 0.01, 95% CI [− 0.64, − 0.25], and intoxication level and accuracy rate, r = − 0.64, N = 63, p < 0.001, 95% CI [− 0.83, − 0.20]. Sixteen percent of participants included at least one piece of misinformation in their free recall accounts, although there was no significant correlation between intoxication level and amount of misinformation reported, r = − 0.09, N = 67, p = 0.484, 95% CI [− 0.27, 0.15]. This suggests that increased intoxication levels were related to reduced accuracy and less complete accounts but did not make participants more vulnerable to incorporate misinformation in their free recall accounts.
Cued recall
Analyses of cued recall data examined how alcohol and the video co-witness influenced participants’ recall accuracy, completeness, confidence in their responses and their ability to monitor the source of the reported information.
Recall completeness
There was a significant positive correlation between intoxication level and the number of ‘I don’t know’ responses given in the cued recall, r = 0.45, N = 67, p < 0.001, 95% CI [0.09, 0.68]. Participants responded with ‘I don’t know’ more frequently when they were more intoxicated.
There was a significant, negative correlation between intoxication level and the number of correct details reported in the cued recall, r = − 0.65, N = 67, p = < 0.001. As intoxication increased, the number of correct details reported decreased.
Confederate influence and incorrect PEI
Thirty-three percent of participants reported at least one piece of incorrect PEI in their cued recall (M = 1.32, SD = 0.5). There was no significant correlation between intoxication level and the amount of incorrect PEI reported, r = − 0.06, N = 67, p = 0.624, 95% CI [− 0.26, 0.20]. That is, participants with elevated intoxication levels did not incorporate more misinformation in their cued recall than those with lower levels.
In order to examine the potential benefits of exposure to correct PEI, accuracy rates were computed for each question category (i.e. questions relating to incorrect PEI from the video witness, correct PEI and no PEI) for each participant. Accuracy rates were computed by dividing the number of accurate responses by the total number of responses for each subset of questions including ‘I don’t know’ responses.
A mixed linear model with bootstrapping of 1000 samples was computed to examine the effect of PEI type (correct, incorrect, no information) and intoxication level on accuracy rate. PEI type was added as a fixed factor and intoxication was added as a fixed covariate in the model. PEI type significantly predicted accuracy rate F (2, 192) = 21.64, p < 0.001. Participants’ accuracy rates were significantly higher for questions pertaining to correct PEI from the video witness (EMM = 0.856, SE = 0.03, 95% CI [0.80, 0.91]) than for questions relating to details where the co-witness had given no information (EMM = 0.50, SE = 0.03, 95% CI [0.44, 0.55]). Participants also had significantly higher accuracy rates for questions pertaining to correct PEI than incorrect PEI (M = 0.54, SE = 0.03, 95% CI [0.48, 0.59]) (ps < 0.001). Participants were not significantly more accurate in response to neutral questions than questions for which they received incorrect PEI (p = 0.307). Intoxication significantly negatively predicted accuracy rates for each question category, F (1, 192) = 76.25, p < 0.001. The interaction between intoxication and PEI type was not significant, F (2, 192) = 0.87, p = 0.42 (see Table 3 for relevant coefficients and confidence intervals).
Table 3 Coefficients and confidence intervals for the effect of intoxication and PEI type on accuracy rate in the cued recall. *Parameters are set to 0 as they are redundant in the model Thus, exposure to incorrect PEI may undermine a witness’ recall due to the potential for this incorrect information to be incorporated into one’s own recall, whereas exposure to correct PEI can boost accuracy, regardless of one’s alcohol intoxication status. Alcohol intoxication negatively impacts accuracy during cued recall responding but does not interact with different types of PEI.
Confidence
A mixed linear model was computed to examine the relationship between intoxication, PEI type and participant confidence, with PEI type as a fixed factor and intoxication as a fixed covariate. PEI type significantly predicted participants’ confidence, F (2, 193) = 7.22, p = 0.001. Participants were significantly more confident in responses to questions pertaining to correct PEI (M = 4.36, SE = 0.09, 95% CI [4.18, 4.54]) than to questions pertaining to no PEI (M = 3.78, SE = 0.09, 95% CI [3.60, 3.96]) or questions relating to incorrect PEI (M = 3.87, SE = 0.09, 95% CI [3.68, 4.05]) (ps < 0.001). Intoxication was also a significant negative predictor of participants’ confidence F (1, 193) = 16.57, p < 0.001. As intoxication increased, participants’ confidence decreased. There was no significant interaction between PEI type and intoxication on reported confidence levels F (2, 193) = 0.63, p = 0.532 (see Table 4).
Table 4 Coefficients and confidence intervals for the effect of intoxication and PEI type on confidence for the cued recall data. *Parameters are set to 0 as they are redundant in the model Source-monitoring
In order to examine source-monitoring abilities, participants were asked to indicate whether the information they used in response to the cued recall questions came from their own memory, the co-witness or both. In total, 85.1% of participants reported only using their own memory, whilst 14.9% reported using both their own memory and the co-witness’s statement. None of the participants reported using only the witness’ statement.
It is not possible to state whether those who recalled accurate information relied on the witness’ account or used their own memory of the event. However, incorrect PEI reported by participants could only have been encountered by the co-witness. Therefore, a Pearson’s chi-square analysis was used to examine the association between reporting at least one incorrect PEI detail and answering the source monitoring question incorrectly. There was a significant association between reporting at least one piece of incorrect PEI and answering the source monitoring question incorrectly, c2 (1) = 38.27, p < 0.001. Participants who reported at least one piece of incorrect PEI were significantly more likely to incorrectly state that their responses came from their own memory than to correctly identify that they had used information from the video witness. Odds ratios indicate that participants who did not report any incorrect PEI were 173.5 times more likely to correctly identify the source of the information reported. Additionally, a logistic regression showed no relationship between BAC scores and source-monitoring accuracy, c2 (1) = 0.03, p = 0.863.