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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Exp Aging Res. Author manuscript; available in PMC 2017 May 1.
Published in final edited form as:
PMCID: PMC4902024

Visual Acuity does not Moderate Effect Sizes of Higher-Level Cognitive Tasks



Declining visual capacities in older adults have been posited as a driving force behind adult age differences in higher-order cognitive functions (e.g., the “common cause” hypothesis of Lindenberger & Baltes, 1994). McGowan, Patterson and Jordan (2013) also found that a surprisingly large number of published cognitive aging studies failed to include adequate measures of visual acuity. However, a recent meta-analysis of three studies (LaFleur & Salthouse, 2014) failed to find evidence that visual acuity moderated or mediated age differences in higher-level cognitive processes. In order to provide a more extensive test of whether visual acuity moderates age differences in higher-level cognitive processes, we conducted a more extensive meta-analysis of topic.


Using results from 456 studies, we calculated effect sizes for the main effect of age across four cognitive domains (attention, executive function, memory, and perception/language) separately for five levels of visual acuity criteria (no criteria, undisclosed criteria, self-reported acuity, 20/80-20/31, and 20/30 or better).


As expected, age had a significant effect on each cognitive domain. However, these age effects did not further differ as a function of visual acuity criteria.


The current meta-analytic, cross-sectional results suggest that visual acuity is not significantly related to age group differences in higher-level cognitive performance—thereby replicating LaFleur and Salthouse (2014). Further efforts are needed to determine whether other measures of visual functioning (e.g. contrast sensitivity, luminance) affect age differences in cognitive functioning.

Recently, McGowan, Patterson and Jordan (2013) noted concerns regarding the lack of visual acuity assessment in aging studies involving linguistic stimuli. By exploring the incidence of specific visual acuity criteria used, these researchers found that the majority of 240 studies using linguistic stimuli published from 2000–2010 in Experiment Aging Research, Journal of Gerontology: Psychological Sciences, and Psychology and Aging either made no mention of the visual acuity of their participants (59%) or relied on self-report (8.8%). Furthermore, numerous studies documented visual acuity capacities with no mention of a specific assessment (17.9%), and just over 14% of articles had documented participants' visual abilities while also providing the specific assessment that was utilized. Thus, a concern in this paucity of visual acuity screening in studies of cognitive aging is that visual acuity deficits in older adults might be moderating or mediating age-related differences in higher-order cognitive performance (e.g., attention, executive function, memory, and perception/language).

Considering the widespread decline in visual sensory processing that is normative to the aging process (Lindenberger & Baltes, 1994), it is alarming that so many studies have not controlled for acuity in their comparisons between younger and older participants. Moreover, it is also conceivable that the wide array of inclusionary criteria (e.g. Snellen 20/20, Snellen 20/40, self-report) incorporated into studies across several domains of cognitive function may also have an impact on the interpretation of results. For example, numerous reports have provided evidence of a dissociation between subjective and objectively measured visual acuity (Friedman et al., 1999; Ross et al., 1999; Warrian, Altangerel, & Spaeth, (2010). While visual acuity assessment is time consuming and requires trained examiners, there is evidence that that the large stimuli and proper lighting used in earlier studies may not preclude declining abilities from influencing performance (Skeel et al., 2003; Skeel et al., 2006).

However, La Fleur and Salthouse (2014) recently reported a meta-analysis on three of Salthouse’s past studies (Salthouse, Hambrick & McGuthry, 1998; Salthouse, 2013, 2014) that examined the relationship between age-related differences in processing speed and memory with visual acuity. Two of these datasets were cross-sectional, and one was longitudinal. They stated: “In conclusion, although we confirmed prior findings of moderate relations between sensory ability and measures of cognitive functioning, our results are not consistent with the hypothesis that age-related declines in sensory ability contribute to age-related declines in cognitive functioning” (p. 1208). La Fleur and Salthouse made this conclusion because their mediation analyses were inconclusive and because their observed relations between visual acuity and processing speed and memory were constant across all adult ages. Consequently, we conducted the present more comprehensive meta-analysis to follow-up on the LaFleur and Salthouse meta-analysis to assess the generality of the earlier finding of no moderation of visual acuity on age-related differences in higher cognitive processes. We believe that it is important to replicate these earlier findings because of the importance of the common cause hypothesis originally proposed by Lindenberger and Baltes (1994) to theories of cognitive aging.

In the present project, we meta-analyzed the data from 456 cognitive aging studies published from 1995 to 2013 using the Pubmed academic database, as well as searching the aforementioned cognitive aging journals. The major issue of interest was whether the effect size of age would vary as a function of visual acuity category and/or higher-level processing domain. If the common cause theory can be applied to visual acuity, we assumed that studies that did not assess visual acuity, or used self-report indices of visual acuity, or studies in which visual acuity ranges were lower (20/80 to 20/31) would have larger disparities between younger and older adults’ higher-level cognitive performances than studies in which visual acuity was higher (20/30 or better). That is, if all participants (younger and older) were required to have 20/30 visual acuity, or better, than the average age deficit in higher-level cognitive performance would be smaller than if participants were required to have a minimum of just 20/40 visual acuity, or higher (because the average visual acuity would have tended to be higher in younger adults). Building on this logic, we predicted that if visual acuity modulated age-related differences in higher-cognitive function, then the effect size for age in meta-analyses should be greater for the three groups expected to have poorer visual acuity (e.g., see McGowan et al., 2013).

The Common Cause Theory of Cognitive Aging

Given that there is frequently a lack of consensus in the cross-sectional and longitudinal cognitive aging literature (e.g., is there general, process-specific, or domain-specific slowing?), part of this lack of consensus may be due to the potentially confounding effect of uncontrolled visual acuity differences across age. A critical theory related to this issue is the common cause theory (Lindenberger & Baltes, 1994; Baltes & Lindenberger, 1997) of cognitive aging. For example, Lindenberger and Baltes (1994) examined a sample of 156 older adults from the Berlin Aging Study (mean age = 84.9 years, range = 70–103 years). They found that visual and auditory acuity accounted for 93.1% of the age-related reliable variance in intelligence. This type of empirical evidence has led common cause advocates to hypothesize that underlying age-related differences in visual or auditory sensory function moderate (change the direction or intensity of the age effect) or mediate (cause) age-related differences across a wide number of cognitive domains (Baltes & Lindenberger, 1997; Li & Lindenberger, 2002; Lindenberger & Baltes, 1994; Lindenberger & Ghisletta, 2009). There is evidence for age-related declines in sensory function. Indeed, previous efforts have found significant adult age-related differences in visual acuity, contrast sensitivity, and visual field (e.g., Brabyn et al., 2001; Evans & Rowlands, 2004; Glass, 2007; Greene & Madden, 1987; Klein et al., 2006; Lindenberger & Baltes, 1994; Madden & Greene, 1987;). These differences have been found across multiple settings and even in participants using their current optical correction (Brabyn et al., 2001; Greene & Madden, 1987; Skeel et al., 2003). Other research groups have explored the impact of acuity in processing visually-presented stimuli through the use of occlusion filters in younger adults (e.g., Gilmore, Spinks & Thomas, 2006). However, findings under this framework have reached inconsistent conclusions, perhaps due to these blurring filters impeding the functionality of neural compensatory mechanisms in the visual processing of experimental stimuli (Bertone et al., 2007). Regardless, dependent upon the requirements of the particular cognitive task, age-related deficits in visual information processing have been suggested in both the periphery as well as central processing areas (Berry et al., 2010; Elliott et al., 1990; Owsley, 2011; Zhang et al., 2008).

However, the literature is mixed with regard to whether sensory decrements are correlated with, moderate, or mediate age-related differences in higher cognitive function. For example, Lindenberger and Baltes (1994) and Baltes and Lindenberger (1997), Anstey, Lord, and Williams (1997), Anstey and Smith (1999), Salthouse, Hambrick and McGuthry (1998), and Salthouse, Hancock, Meinz, and Hambrick (1996) all reported evidence of sensory mediation of age-related differences in cognitive processing. However, Allen et al. (2001), Anstey, Luszcz, and Sanchez (2001), Baena, Allen, Kaut, and Hall (2010), Schmiedek and Li (2004), and Verhaeghen (2003, 2011) all found evidence of substantial indirect effects of age on higher-level cognitive variables that were not accounted for (mediated by) common causes such as sensory processes (e.g., visual acuity). Consequently, past results using causal modeling (SEM) methods and meta-analysis have resulted in seemingly inconsistent results with regard to sensory effects accounting for age-related differences in higher-level processes. An important contribution of the present study is that we present a meta-analysis of data from a much larger sample of studies (456) than has been used in the past (e.g., LaFleur & Salthouse, 2014; and past SEM studies). Our goal is to assess whether the effect size of age-related differences in four different cognitive domains for the present substantial set of experimental studies vary as a function of visual acuity in younger and older adults.

The Present Study

There are two reasons for reporting the present meta-analyses in spite of the fact that La Fleur and Salthouse (2014) recently reported a similar study. First, La Fleur and Salthouse reported results from just two cognitive domains (processing speed and memory), and our design includes four domains (attention, executive function, memory, and perception/language) as well as multiple visual acuity categories (no assessment of visual acuity, undisclosed visual acuity, self-reported assessment of visual acuity, 20/80-20/31, and 20/30 or better). Second, given the importance of the common cause hypothesis (Lindenberger & Baltes, 1994) to the cognitive aging field, it is important to replicate these earlier results with a larger set of studies. Consequently, the present meta-analysis of visual acuity levels and their relationship to age-related differences in higher-level cognitive function uses a sample 456 aging studies across four cognitive domains and four levels of visual acuity.


Literature Search

To further the effort of McGowan et al. (2013) and La Fleur and Salthouse (2014), we surveyed the literature from the online PubMed academic database ( in conjunction with the databases for three journals used by McGowan and colleagues: Psychology and aging, Experimental Aging Research, and The Journals of Gerontology, Series B: Psychological Sciences & Social Sciences, as well as many other journals. To be included in the meta-analysis, studies were required to; (1) be cross-sectional in nature (because so few longitudinal studies on this topic have been published), (2) have documented at least one age group comparison as a main effect, (3) have documented raw statistics in the form of Pearson's r, regression coefficient R2, variance F ratio, Student's t, β, or Spearman's ρ, (4) involve cognitive tasks in which stimuli were presented visually and performance could be objectively measured (i.e. by reaction time, percentage correct, or overall task performance), and (6) for the circumstances in which multiple studies were incorporated into a single publication, contain an orthogonal sample with participants not participating in any other portion of the study. Data collection took place in two stages. Stage one involved collecting studies from the PubMed database and from the three journals dating back to 2002. After examining the characteristics of these studies, we then conducted an additional search in the three journals dating back to 1995, targeting only studies that incorporated objectively measured visual acuity criteria in order to evenly distribute our categorizations and allow for representative comparison across visual acuity criteria for each cognitive domain.

Coding Procedure

In total, 456 studies were incorporated into the statistical analyses. We categorized these studies by visual acuity criteria and four cognitive domains: attention, executive function, memory, and perception. Many studies recorded measures from more than one domain. However, to satisfy independence requirements for the meta-analysis, only measures from one category per study were added into the analysis. For these studies with multiple domains, domains were chosen based upon either the emphasis of the study or, and provided that no emphasis was apparent, we assigned studies by need of the statistical analysis (i.e., to evenly distribute category cell counts). Building upon the visual acuity criteria employed by McGowan et al. (2013), studies were assigned to seven separate visual acuity categories in the current protocol. However, it should be noted that we “over-sampled” in certain categories so that we would have enough cases—so the present results cannot be directly compared to those of McGowan et al. The first and most frequently assigned category (36.4% of cases) included studies in which no visual acuity criterion was required for participation. Separate categories were also established for studies documenting self-reported visual acuity (5.9% of cases) and adequate visual acuity with no documentation of the specific acuity threshold required (23.0% of cases). The final two criteria incorporated studies that provided a specific acuity threshold required to participate. All presented visual acuity thresholds were converted to Snellen ratios and initially assigned to the categories of 20/80-20/41, 20/40-20/31, 20/30-20/21, or 20/20 or better. Due to a limited number of studies utilizing the thresholds of 20/80 and 20/20 or better, the visual acuity categories were reduced to two categories for analysis, 20/80-20/31 and 20/30 or better. The classification of studies to both cognitive domain and visual acuity category is presented in Table 1 below.

Table 1
Categorical Assignment of Articles by Visual Acuity Criteria & Cognitive Domain.

As with McGowan et al. (2013), we also examined the prevalence of studies that documented the use of a specific visual acuity screener instrument. For 158 studies in which a specific threshold was required for participation, 53.8% (85) of studies documented the utilized measure of visual acuity. For comparison, 41.9% (44) of studies omitting documentation of an acuity threshold listed a vision assessment tool. However, a Chi-square test of independence between these two likelihoods failed to reach statistical significance, χ2 = 3.58, p = .058, thus providing evidence that researchers using a specific exclusionary criteria were no more likely to document an assessment tool than those not utilizing a specific visual acuity criteria.

Effect Size Calculation

For each study, the raw statistic characterizing the main effect of age group (r, R2, F, t, β, or ρ) was converted to Fisher’s Z (Zr), weighted by the study sample size (Rosenthal & DiMatteo, 2001). When necessary, the sign of the raw statistics were adjusted such that positive Zr values indicate better performance (i.e., higher accuracy, faster reaction time) in younger adults relative to older adults. We then averaged the Zr values across studies, separately for each visual acuity criteria and cognitive domain, and then converted back to r values (see Hedges & Vevea, 1998).


The averaged effect sizes (r) are presented separately for each visual acuity criterion and cognitive domain in Table 2. We also calculated overall values for each visual acuity criterion by collapsing across the cognitive domains and for each cognitive domain by collapsing across visual acuity criteria. These moderate to large effect sizes (Cohen, 1988) indicate that, as expected, older adults performed significantly worse on all cognitive tasks than younger adults. Multiple Z tests of the weighted effect sizes (Zr) further confirmed that the effect of age on cognitive performance was significant for each cognitive domain at each visual acuity criteria (Z’s > 5.43, p’s < 0.001).

Table 2
Average effect sizes for each visual acuity criteria and cognitive domain

Additional Z tests of the differences between the weighted effect sizes revealed that the effect of age did not significantly differ across the visual acuity criteria for any cognitive domain (Z’s < |1.11|, p’s > 0.13). Similar non-significant differences were observed across the visual acuity criteria when using the overall cognitive measure (i.e., collapsed across domains) (Z’s < |0.49|, p’s > 0.31). See Appendix B for individual study categorizations with their associated weighted effect size values.


The main finding of the present meta-analysis of 456 cognitive aging studies across four domains was that there were no significant differences in effect size for age across the five categories of visual acuity in any of the four different cognitive domains. A key assumption was that if the visual acuity data supported the predictions of the common cause hypothesis, then there would be larger relative sensory decrements in the unreported VA, self-reported VA, and 20/80-20/31 visual acuity categories than in the 20/30 or above VA category (because this final category of the highest VA group required that younger and older adults had a minimum of 20/30 visual acuity). In the other groups, one would expect that older adults would have poorer visual acuity than younger adults in causes in which visual acuity was not controlled, and thus, the effect size for age should largest in the groups with relatively larger age-related differences in VA. However, the effect sizes for age did not differ across the five VA groups in any of the four cognitive domains, or overall (i.e., when collapsing into a single cognitive domain). These results therefore suggest that one type of sensory effect, visual acuity, does not moderate age-related differences in higher cognitive processes in seeming violation of the predictions of the common cause hypothesis (Lindenberger & Baltes, 1994; Baltes & Lindenberger, 1997).

With regard to the limitations of the current design, the most apparent consideration is that we drew our results from a single measure of visual functioning—visual acuity. This parameter was selected due to its ubiquity in the published cognitive aging literature. However, this meta-analysis does not rule out a potential moderation or mediation relationship between other measures of visual functioning, such as contrast sensitivity or visual field size (or measures of auditory sensory functioning), and differences in age-group comparisons of cognitive performance. Also, the present study consisted of a healthy aging sample. Thus, it could be that for, say, dementia patients that sensory decrements could moderate or mediate performance in higher-level cognition. Note that this is a particularly important possibility because the sample used in Lindenberger and Baltes (1994) was approximately 85 years of age, and the odds of dementia at this age is likely over over 30% (Herbert, Weuve, Scherr, & Evans, 2013). Nevertheless, we argue that the lack of a sensory-cognition association as measured by the most ubiquitously reported measure of sensory function, visual acuity, provides an important consideration to the discussion of general and specific effects associated with cognitive aging. Namely, based on a meta-analysis of 456 studies, we could not detect significant age-related differences in overall visual acuity, and we found that different categories of visual acuity did not moderate age-related differences in higher-level cognitive function.

The independence of age-related visual sensory and cognitive effects is surprising in light of the common cause hypothesis. One possibility is that older adults compensate for sensory deficits using top-down processes (e.g., Madden, 2007) and/or increased bottom-up chunking skill and normalization (Allen et al., 2002, 2011; see Stine-Morrow, Miller & Hertzog, 2006, for an information-processing model of compensation). At a neural level, compensation is reflected in age-related differences in task-related functional brain activation, and perhaps in brain structure as well (e.g., white matter integrity), linked to age-related differences in behavioral performance (Cabeza et al., 2002; Grady, 2012). The aspects of brain structure and function that define compensation, however, are not yet known entirely and appear to depend on many variables related to task demands and the overall level of task performance (Davis et al., 2008; Daselaar et al., 2013; Logan et al., 2002). Alternatively, it may be the case that, for the types of cognitive measures reviewed here, the variance associated with computational (encoding), decision-related, and response-related aspects of the task is more relevant for age-related differences than the variance associated with visual acuity. Finally, as noted earlier, it could be that sensory moderation or mediation of age-related differences in higher-level cognitive function may not occur into much later (e.g., in the mid 80s—as in Lindenberger & Baltes, 1994). Consequently, other factors in addition to sensory decrements are important for a thorough understanding of age-related differences in cognitive processing. While we in no way suggest that researchers should not screen for visual acuity, our meta-analysis results show that that such a situation would probably not bias estimates of age-related differences in higher cognitive processing, although not screening for visual acuity could exacerbate age-related differences in visual acuity.


We thank Paul Verhaeghen for meta-analysis advice.

We gratefully acknowledge funding for this research by NIH grant AG039684 (to David J. Madden) and by NIA Grant AG047334 (to Ilana J. Bennett).

Appendix A

Appendix Table 1

Common tasks representing cognitive domains

AttentionExecutive FunctionMemoryPerception
Asynchronous Dual-taskDrivingMetaphor CompletionBinocular Rivalry
Attentional BlinkFluencyNon-partisan lookupCircle Discrimination
Change DetectionImage GenerationObject NamingEmbedded Figures
Continuous Performance TaskIntelligencePaired AssociatesEmotion Identification
Error DetectionLetter-Number SequencingRepetition PrimingFace Discrimination
FlankerMental RotationRote RecallFace Encoding
Go/No GoN-backRote RecognitionFace/Location Matching
Letter IdentitySpanSemantic PrimingFragmented Picture Naming
Negative PrimingStroopSemantic-judgmentHaylings Test
Novelty OddballTower of (Hanoi, London, etc.)Sentence CompletionLetter Detection
Simultaneous Dual-taskTrailmaking BVocabularyLexical Decision
Stimulus SuffixVirtual MazeNational Adult Reading Test
TapWisconsin Card Sorting TestObject Tracking
Visual SearchWorking MemoryReading
Texture Discrimination
Visual Field Sensitivity

Appendix B

Appendix Table 2

Individual study citations with sample sizes and weighted age-related effect sizes

Visual Acuity
Weighted Avg. Fisher's
Bartels et al. (2010)36AttentionUnreported8.55
Gamboz, Russo, & Fox (2000)48AttentionUnreported11.77
Greenhut-wertz & Manning (1995)32AttentionUnreported18.41
Malmstrom & LaVoie (2002)48AttentionUnreported40.24
Maylor & Lavie (1998)30AttentionUnreported26.72
Mienaltowski et al. (2011)31AttentionUnreported19.90
Plude & Doussard-Roosevelt (1989)24AttentionUnreported14.30
Salthouse (1992) – 2100AttentionUnreported25.12
Smyth & Shanks (2011) – 140AttentionUnreported18.39
Sorond et al. (2008)29AttentionUnreported10.22
Vallesi, Hasher, & Stuss (2010)40AttentionUnreported22.63
Verhaeghen, Cerella, & Basak (2006)62AttentionUnreported9.75
Bertsch et al. (2009)56AttentionUndisclosed22.90
Bock (2008) – 133AttentionUndisclosed13.92
Bock (2008) – 232AttentionUndisclosed11.49
Brache, Scialfa, & Hudson (2010)35AttentionUndisclosed15.10
Ceponiene et al. (2008)38AttentionUndisclosed16.31
Dywan et al. (2001)61AttentionUndisclosed35.08
Gamboz, Zamarian, & Cavallero (2010)135AttentionUndisclosed58.61
Georgiou-Karistianis et al. (2006)60AttentionUndisclosed−4.12
Guerriero, Adam, & Van Gerven (2012)55AttentionUndisclosed45.45
Hartley & Kieley (1995) – 134AttentionUndisclosed24.12
Hartley & Kieley (1995) – 240AttentionUndisclosed29.66
Hartley & Kieley (1995) – 334AttentionUndisclosed6.98
Hartley & Kieley (1995) – 432AttentionUndisclosed11.59
Hartley (2001)44AttentionUndisclosed21.81
James & Kooy (2011) – 136AttentionUndisclosed16.24
James & Kooy (2011) – 240AttentionUndisclosed18.06
Kennedy & Raz (2009)52AttentionUndisclosed16.56
Maylor, Birak, & Schlaghecken (2011)47AttentionUndisclosed26.03
McDowd & Oseas-Kreger (1991)40AttentionUndisclosed19.18
McLaughlin & Murtha (2010)50AttentionUndisclosed42.00
McLaughlin et al. (2010)60AttentionUndisclosed29.80
Müller-Oehring et al. (2007)37AttentionUndisclosed13.17
Neider & Kramer (2011) – 148AttentionUndisclosed20.02
Neider & Kramer (2011) – 224AttentionUndisclosed9.13
Prado, Stoffregen, & Duarte (2007)24AttentionUndisclosed13.42
Roux & Ceccaldi (2001) – 134AttentionUndisclosed15.95
Roux & Ceccaldi (2001) – 237AttentionUndisclosed16.63
Sander, Werkle-Bergner, & Lindenberger (2011) - 180AttentionUndisclosed98.68
Schmitz, Cheng, & De Rosa (2010)27AttentionUndisclosed13.46
Tucker et al. (2009)43AttentionUndisclosed3.78
Van Gerven & Murphy (2010)96AttentionUndisclosed33.08
Allen et al. (1993a) – 140AttentionSelf-reported19.34
Allen et al. (1993a) – 240AttentionSelf-reported20.62
Allen, Weber, & Madden (1994)40AttentionSelf-reported17.32
Lien, Gemperle, & Ruthruff (2011) – 132AttentionSelf-reported18.18
Lien, Gemperle, & Ruthruff (2011) – 230AttentionSelf-reported22.44
Maquestiaux et al. (2010)32AttentionSelf-reported22.28
Quigley et al. (2010)19AttentionSelf-reported7.38
Solbakk et al. (2008)25AttentionSelf-reported10.88
Strobach et al. (2012)19AttentionSelf-reported10.35
Titz, Behrendt, & Hasselhorn (2010)80AttentionSelf-reported32.32
Allen et al. (1998) – 140Attention20/4018.85
Allen et al. (1998) – 240Attention20/4028.18
Allen et al. (2009)36Attention20/4021.04
Allen, Weber, & May (1993) – 140Attention20/4017.40
Allen, Weber, & May (1993) – 240Attention20/4024.28
Atchley & Kramer (2000) – 124Attention20/4014.46
Atchley & Kramer (2000) – 224Attention20/4014.05
Batsakes & Fisk (2000)48Attention20/4060.40
Bojko et al. (2004)31Attention20/4019.65
Bucur et al. (2005)40Attention20/4031.07
Bucur, Madden, & Allen (2005)40Attention20/4023.19
Coeckelbergh et al. (2004)14Attention20/4015.77
Costello et al. (2010a) – 148Attention20/4028.85
Costello et al. (2010a) – 248Attention20/4031.94
Costello et al. (2010b)48Attention20/4028.82
Gottlob (2006)30Attention20/4014.85
Graham & Burke (2011)112Attention20/4048.14
Greenwood & Parasuraman (2004) – 132Attention20/4012.12
Hugenschmidt et al. (2009)52Attention20/4010.66
Jennings et al. (2011)98Attention20/4041.23
Kaneko (2004)14Attention20/406.47
Kramer et al. (1999) - 116Attention20/4011.56
Kramer et al. (1999) - 216Attention20/4010.80
Langley et al. (2007) - 164Attention20/4030.79
Langley et al. (2007) - 256Attention20/4027.26
Langley et al. (2008a) – 160Attention20/4045.01
Langley et al. (2008a) – 360Attention20/4055.84
Madden & Langley (2003) – 148Attention20/4033.93
Madden & Langley (2003) – 264Attention20/4024.53
Madden & Langley (2003) – 348Attention20/4028.91
Madden (1982) – 196Attention20/4029.58
Madden (1982) – 272Attention20/4027.94
Madden (1992a) – 148Attention20/4043.26
Madden (1992a) – 224Attention20/4018.85
Madden et al. (2002)24Attention20/4013.06
Madden et al. (2005) - 148Attention20/4049.16
Madden et al. (2005) - 248Attention20/4028.57
Madden et al. (2007)48Attention20/4037.93
Mani, Bedwell, & Miller (2005)32Attention20/4010.36
Nielson, Langenecker, & Garavan (2002) – 134Attention20/4014.45
Veiel, Storandt, & Abrams (2006) – 180Attention20/4041.29
Veiel, Storandt, & Abrams (2006) – 260Attention20/4029.87
Whiting et al. (2005) – 148Attention20/4035.37
Whiting et al. (2005) – 248Attention20/4034.14
Whiting et al. (2005) – 348Attention20/4030.05
Whiting, Madden, & Babcock (2007)48Attention20/4018.68
Colcombe et al. (2005)60Attention20/3029.54
Fisk & Rogers (1991) – 195Attention20/303.14
Fisk & Rogers (1991) – 285Attention20/3039.14
Hogan (2003)172Attention20/30149.98
Hoyer, Cerella, & Buchler (2011)36Attention20/3031.26
Humphrey & Kramer (1997)30Attention20/3021.72
Kotary & Hoyer (1995)40Attention20/3030.29
Kramer & Atchley (2000) - 148Attention20/3045.63
Kramer & Atchley (2000) - 224Attention20/3021.21
Kramer & Weber (1999) – 136Attention20/3029.37
Kramer & Weber (1999) – 232Attention20/3015.84
Kramer et al. (1996) - 129Attention20/3022.52
Kramer et al. (1996) - 234Attention20/3033.26
Ellis et al. (1996)24Attention20/2923.73
Burton-Danner, Owsley, & Jackson (2001)40Attention20/2533.12
Owsley, Burton-Danner, & Jackson (2000)40Attention20/2520.03
Hahn & Kramer (1995)20Attention20/2414.51
Georgiou-Karistianis et al. (2007)50Attention20/2018.15
Norman et al. (2007) – 116Attention20/206.73
Scialfa & Thomas (1994)40Attention20/18.933.23
Anderson et al. (2011a)80ExecutiveUnreported21.50
Andrés & Van der Linden (2000)95ExecutiveUnreported27.25
Artistico, Cervone, & Pezzuti (2003)60ExecutiveUnreported30.55
Ashendorf & McCaffrey (2008)44ExecutiveUnreported27.50
Ashley & Swick (2009)40ExecutiveUnreported8.01
Baudouin et al. (2009)100ExecutiveUnreported70.84
Beaunieux et al. (2009)100ExecutiveUnreported42.72
Bell, Buchner, & Mund (2008) – 391ExecutiveUnreported27.77
Bock (2005)24ExecutiveUnreported14.01
Bopp & Verhaeghen (2009) – 196ExecutiveUnreported57.04
Bopp & Verhaeghen (2009) – 250ExecutiveUnreported30.08
Bopp & Verhaeghen (2009) – 362ExecutiveUnreported38.86
Borella et al. (2011)79ExecutiveUnreported43.88
Brehmer, Westerberg, & Backman (2012)55ExecutiveUnreported29.58
Briggs, Raz, & Marks (1999)85ExecutiveUnreported30.12
Bugg et al. (2006)196ExecutiveUnreported119.70
Chen, Ma, & Pethtel (2011)184ExecutiveUnreported37.50
Copeland & Radvansky (2007) – 172ExecutiveUnreported39.87
Copeland & Radvansky (2007) – 272ExecutiveUnreported41.15
Copeland & Radvansky (2007) – 360ExecutiveUnreported27.49
Davis & Klebe (2001)23ExecutiveUnreported11.80
Denburg, Tranel, & Bechara (2005)80ExecutiveUnreported29.35
Dorbath, Haselhorn, & Titz (2011)176ExecutiveUnreported45.58
Doumas, Rapp, & Krampe (2009)18ExecutiveUnreported12.95
Eckert et al. (2010)42ExecutiveUnreported23.81
Einstein et al. (1997) – 164ExecutiveUnreported29.06
Einstein et al. (1997) – 2128ExecutiveUnreported41.45

Elwan et al. (1996)88ExecutiveUnreported57.60
Emery, Hale, & Myerson (2008)134ExecutiveUnreported49.40
Esposito et al. (1999)41ExecutiveUnreported−1.37
Fein, McGillivray, & Finn (2007)164ExecutiveUnreported50.67
Ferraro & Kellas (1992)48ExecutiveUnreported30.68
Foos & Goolkasian (2010)45ExecutiveUnreported16.02
Hale et al. (2011)388ExecutiveUnreported168.02
Hampshire et al. (2008)32ExecutiveUnreported8.75
Head et al. (2002)68ExecutiveUnreported14.66
Henninger, Madden, & Huettel (2010)112ExecutiveUnreported6.09
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Krampe et al. (2010)44ExecutiveUnreported17.65

Kray, Lucenet, & Blaye (2010)85ExecutiveUnreported53.01
Lamar & Resnick (2004)43ExecutiveUnreported24.37
Lange & Verhaeghen (2009) – 248ExecutiveUnreported34.81
Lesch et al. (2011)101ExecutiveUnreported38.50
Löckenhoff, O'Donogue, & Dunning (2011)98ExecutiveUnreported23.41
Maintenant, Blaye, & Paour (2011)121ExecutiveUnreported49.96
Masunaga & Horn (2001)263ExecutiveUnreported34.78
Mata, Helversen, & Rieskamp (2010)100ExecutiveUnreported55.45
Mather & Schoeke (2011)86ExecutiveUnreported−22.12
Maury, Besse, & Martin (2010) – 272ExecutiveUnreported50.05
Mayr (2001) – 148ExecutiveUnreported29.87
Mayr (2001) – 272ExecutiveUnreported31.43
McAuley et al. (2010)79ExecutiveUnreported56.46
McDowd & Craik (1988)32ExecutiveUnreported24.11
Mell et al. (2009)28ExecutiveUnreported24.98
Miller & West (2010)95ExecutiveUnreported41.51
Morrow et al. (2001)182ExecutiveUnreported41.74
Perry et al. (2009)24ExecutiveUnreported15.60
Phillips, Kliegel, & Martin (2006)78ExecutiveUnreported36.33
Phillips, Smith, & Gilhooly (2002)96ExecutiveUnreported34.92
Radvansky et al. (2001) – 196ExecutiveUnreported22.30
Radvansky et al. (2001) – 2144ExecutiveUnreported71.23
Richmond et al. (2011) w/ additional data from Chein & Morrison (2010)35ExecutiveUnreported15.42
Rypma et al. (2001)12ExecutiveUnreported4.78
Salthouse (1992) – 1180ExecutiveUnreported79.52
Scheibe & Blanchard-Fields (2009)142ExecutiveUnreported92.70
Shafto (2010)72ExecutiveUnreported28.44
Shan et al. (2008)475ExecutiveUnreported95.98
Silver et al. (2011)134ExecutiveUnreported48.82
West (2004)28ExecutiveUnreported15.37
Wood et al. (2005)155ExecutiveUnreported27.43
Wood et al. (2011)121ExecutiveUnreported41.17
Bell, Buchner, & Mund (2008) – 1104ExecutiveUndisclosed44.84
Bo, Borza, & Seidler (2009)50ExecutiveUndisclosed30.10
Carp, Gmeindl, & Reuter-Lorenz (2010)41ExecutiveUndisclosed26.76
Chaparro et al. (2005)28ExecutiveUndisclosed11.64
Clapp et al. (2011)37ExecutiveUndisclosed9.80
Gamboz, Borella, & Brandimonte (2009)80ExecutiveUndisclosed25.69
Guerreiro & Van Gerven (2011)60ExecutiveUndisclosed33.35
Kemtes & Allen (2008)60ExecutiveUndisclosed16.16
Kieley & Hartley (1997) – 132ExecutiveUndisclosed9.97
Kieley & Hartley (1997) – 285ExecutiveUndisclosed19.50
Maury, Besse, & Martin (2010) – 150ExecutiveUndisclosed38.57
Morrone et al. (2010)60ExecutiveUndisclosed19.71
Mund, Bell, & Buchner (2010) – 196ExecutiveUndisclosed56.37
Mund, Bell, & Buchner (2010) – 2157ExecutiveUndisclosed72.21
Nagel et al. (2008)318ExecutiveUndisclosed234.18
Neider et al. (2011)36ExecutiveUndisclosed8.67
Ni, Kang, & Andersen (2010)16ExecutiveUndisclosed7.40
Peltz, Gratton, & Fabiani (2011)58ExecutiveUndisclosed42.48
Ridderinkhof et al. (2002) – 140ExecutiveUndisclosed21.54
Rose et al. (2009)48ExecutiveUndisclosed36.98
Rose et al. (2010)106ExecutiveUndisclosed79.11
Sambataro et al. (2010)57ExecutiveUndisclosed20.02
Zamarian et al. (2008)85ExecutiveUndisclosed28.53
Hartman, Bolton, & Fehnel (2001) – 1161ExecutiveSelf-reported49.94
Hartman, Bolton, & Fehnel (2001) – 296ExecutiveSelf-reported33.06
Hartman, Nielsen, & Stratton (2004)72ExecutiveSelf-reported43.45
Karayanidis et al. (2011)95ExecutiveSelf-reported42.61
Saimpont, Pozzo, & Papaxanthis (2009)39ExecutiveSelf-reported34.28
Touron & Hertzog (2009)124Executive20/5049.31
Allen et al. (1997) – 140Executive20/4019.48
Allen et al. (1997) – 248Executive20/4011.39
Basak & Verhaeghen (2011)55Executive20/4027.94
Feld & Sommers (2009)81Executive20/4041.96
Hertzog et al. (1996)201Executive20/40128.44
Jamieson & Rogers (2000)80Executive20/4048.41
Kirasic et al. (1996)477Executive20/4094.23
Kramer et al. (1994)62Executive20/4021.96
Langley et al. (2005)48Executive20/4023.01
Trick, Perl, & Sethi (2005) – 138Executive20/4027.71
Trick, Perl, & Sethi (2005) – 240Executive20/4023.38
Zanto, Toy, & Gazzaley (2010)43Executive20/4012.95

Brigman & Cherry (2002)40Executive20/3019.51
Cherry & Park (1993)194Executive20/3070.89
Reese & Cherry (2002)128Executive20/3040.46
Touron, Hoyer, & Cerella (2004)60Executive20/3055.18
Verhaeghen & Hoyer (2007)48Executive20/3027.22
Cansino et al. (2011)50Executive20/2019.11
Risse & Kliegle (2011)80Executive20/2017.13
Aizpurua, Garcia-Bajos, & Migueles (2009)68MemoryUnreported27.99
Aizpurua, Garcia-Bajos, & Migueles (2011) – 165MemoryUnreported28.36
Aizpurua, Garcia-Bajos, & Migueles (2011) – 267MemoryUnreported21.80
Anderson et al. (2011) – 160MemoryUnreported31.74
Anderson et al. (2011) – 263MemoryUnreported33.83
Badham & Maylor (2011)108MemoryUnreported67.70
Bayer et al. (2011)40MemoryUnreported4.52
Bell, Buchner, & Mund (2008) – 299MemoryUnreported50.05
Benjamin (2011)79MemoryUnreported18.22
Bryan & Luszcz (1996)72MemoryUnreported34.46
Buchler et al. (2011)60MemoryUnreported8.95
Cabeza et al. (2004)40MemoryUnreported11.80
Charness et al. (2001) – 172MemoryUnreported70.78
Charness et al. (2001) – 248MemoryUnreported20.58
Craik & Schloerscheidt (2011) – 232MemoryUnreported23.21
Denney & Larsen (1994)80MemoryUnreported29.45
Dew & Giovanello (2010a) – 148MemoryUnreported23.18
Dew & Giovanello (2010a) – 260MemoryUnreported44.40
Dew & Giovanello (2010b) – 264MemoryUnreported36.31
Doose & Feyereisen (2001)59MemoryUnreported39.53
Emery & Hess (2011)101MemoryUnreported16.22
Ford et al. (2001)26MemoryUnreported8.53
Frings, Mader, & Hull (2010)17MemoryUnreported12.14
Gardner, Hill, Was (2011)92MemoryUnreported42.06
Glahn et al. (1997)181MemoryUnreported53.39
Grady et al. (2002)44MemoryUnreported27.39
Halamish, McGillivray, & Castel (2011)40MemoryUnreported15.89
Hamami, Serbun, & Gutchess (2011) – 254MemoryUnreported21.49
Hanna-Pladdy & Choi (2010)135MemoryUnreported31.66
Henkel & Rajaram (2011)192MemoryUnreported61.81
Hertzog & Touron (2011)152MemoryUnreported121.83
Jager, Mecklinger, & Kliegel (2010)40MemoryUnreported21.76
Joy, Kaplan, & Fein (2004)950MemoryUnreported467.05
Kave, Knafo, & Gilboa (2010)1145MemoryUnreported104.58
Kim & Giovanello (2011) – 224MemoryUnreported13.63
Kitzan et al. (1999)88MemoryUnreported39.67
Kornell et al. (2010)112MemoryUnreported44.11
Li, Nilsson, & Wu (2004)98MemoryUnreported37.74
Luo, Hendriks & Craik (2007) – 164MemoryUnreported23.93
Luo, Hendriks & Craik (2007) – 252MemoryUnreported13.23
Luo, Hendriks & Craik (2007) – 336MemoryUnreported27.80
Luo, Hendriks & Craik (2007) – 464MemoryUnreported17.45
Maddox et al. (2011) – 160MemoryUnreported44.87
Maddox et al. (2011) – 278MemoryUnreported39.09
McGillivray & Castel (2010)50MemoryUnreported20.63
McGillivray & Castel (2011)52MemoryUnreported27.18
Moffat et al. (2007)68MemoryUnreported39.55
Nashiro & Mather (2011)48MemoryUnreported17.38
Naveh-Benjamin & Craik (1995)50MemoryUnreported9.48
Nemeth & Janacsek (2010)129MemoryUnreported65.66
Ostreicher et al. (2010)32MemoryUnreported12.04
Overman & Becker (2009)151MemoryUnreported−42.60

Rosa & Gutchess (2011)90MemoryUnreported38.81
Simon, Howard Jr., & Howard (2010)30MemoryUnreported16.22
Smith (2011) – 1256MemoryUnreported62.99
Smith (2011) – 270MemoryUnreported24.44
Stern et al. (2008) – 168MemoryUnreported25.19
Stern et al. (2008) – 245MemoryUnreported17.27
Toth, Daniels, & Solinger (2011)72MemoryUnreported19.50
Troyer et al. (2011)40MemoryUnreported23.38
Tse, Balota, & Roediger (2010) – 196MemoryUnreported27.35
Tse, Balota, & Roediger (2010) – 244MemoryUnreported12.36
Wang & Dew (2010)112MemoryUnreported51.52
West, Welch, & Thorn (2001)218MemoryUnreported128.68
Wiggs & Martin (1994) – 132MemoryUnreported12.12
Wiggs & Martin (1994) – 264MemoryUnreported22.15
Bender, Naveh-Benjamin, & Raz (2010)278MemoryUndisclosed62.13
Bergerbest et al. (2009)30MemoryUndisclosed12.13
Craik & Schloerscheidt (2011) – 150MemoryUndisclosed26.94
Craik & Schloerscheidt (2011) – 264MemoryUndisclosed10.98
Fernandes et al. (2008)95MemoryUndisclosed45.01
Gaesser et al. (2011) – 132MemoryUndisclosed20.32
Gaesser et al. (2011) – 230MemoryUndisclosed14.16
Glass (2007)345MemoryUndisclosed240.43
Gopie, Craik, & Hasher (2010) – 140MemoryUndisclosed13.88
Gopie, Craik, & Hasher (2010) – 240MemoryUndisclosed11.69
Hartley et al. (2011) – 148MemoryUndisclosed20.98
Hartley et al. (2011) – 246MemoryUndisclosed16.24
Kemps & Newson (2006)96MemoryUndisclosed45.27
Lin et al. (2010)60MemoryUndisclosed8.59
Lövdén et al. (2005)32MemoryUndisclosed36.13
Murray, Muscatell, & Kensinger (2011) – 148MemoryUndisclosed26.03
Murray, Muscatell, & Kensinger (2011) – 278MemoryUndisclosed54.06
Murray, Muscatell, & Kensinger (2011) – 340MemoryUndisclosed11.45
Shih, Meadmore, & Liversedge (2012)90MemoryUndisclosed29.41
Skinner & Fernandes (2009) – 130MemoryUndisclosed11.73
Skinner & Fernandes (2009) – 232MemoryUndisclosed7.74
Vakil & Agmon-Askenazi (1997)50MemoryUndisclosed29.13
Viggiano et al. (2010)30MemoryUndisclosed22.49
Aizpurua & Koutstaal (2010)71MemorySelf-reported27.87
Feng et al. (2011)85MemorySelf-reported7.63
Hamami, Serbun, & Gutchess (2011) – 164MemorySelf-reported22.34
Rémy, Taconnat, & Isingrini (2008)60MemorySelf-reported38.58
Stine-morrow et al. (2006)73MemorySelf-reported14.60
Tun et al. (1992)50MemorySelf-reported25.47
Hertzog et al. (2007) – 1103Memory20/5033.71
Hertzog et al. (2007) – 284Memory20/5030.48
Hertzog et al. (2007) – 386Memory20/504.70
Touron, Hertzog, & Frank (2011) – 140Memory20/5014.34
Allen et al. (2002b)80Memory20/4026.77
Allen et al. (2011) – 140Memory20/4028.37
Allen et al. (2011) – 2120Memory20/4069.53
Bowles (1994)64Memory20/4053.84
Fisk et al. (1995)201Memory20/40172.35
Fisk et al. (1997) – 1174Memory20/40220.04
Fisk et al. (1997) – 248Memory20/4041.89
Jenkins et al. (2000)32Memory20/4025.52
Langley et al. (2008b) – 172Memory20/4019.25
Langley et al. (2008b) – 268Memory20/4022.16
Langley et al. (2008b) – 364Memory20/4017.72
Lawson, Guo, & Jiang (2007)28Memory20/4015.28
Rogers & Gilbert (1997) - 132Memory20/4020.68
Rogers & Gilbert (1997) - 232Memory20/4019.80
Rogers & Gilbert (1997) - 332Memory20/4020.36
Rogers & Gilbert (1997) - 432Memory20/4017.62

Rutledge, Hancock, & Walker (1997)93Memory20/4032.37
Cerella et al. (2006)98Memory20/3048.05
Cherry & Jones (1999) – 1144Memory20/3058.92
Cherry & Jones (1999) – 2144Memory20/3070.19
Cherry & LeCompte (1999)96Memory20/3018.63
Cherry & St. Pierre (1998)64Memory20/3024.86
Cherry et al. (2003) – 196Memory20/3075.94
Cherry et al. (2003) – 296Memory20/3081.94
Karpel, Hoyer, & Toglia (2001)122Memory20/3044.99
Park et al. (1990) – 184Memory20/3020.92
Park et al. (1990) – 2128Memory20/3028.05
Smith et al. (1998) - 176Memory20/3055.84
Smith et al. (1998) - 248Memory20/3026.04
Bowles & Poon (1981)43PerceptionUnreported20.78
Cohen & Faulkner (1983)24PerceptionUnreported9.29
Elliott et al. (2007)20PerceptionUnreported5.97
Grady et al. (1994)32PerceptionUnreported21.46
Hildebrandt et al. (2011)448PerceptionUnreported26.76
Hunter, Phillips, & MacPherson (2010) – 150PerceptionUnreported19.45
Hunter, Phillips, & MacPherson (2010) – 240PerceptionUnreported13.83
Kalisch et al. (2012)81PerceptionUnreported38.28
Krendl & Ambady (2010) – 178PerceptionUnreported48.26
Krendl & Ambady (2010) – 280PerceptionUnreported37.08
Lange & Verhaeghen (2009) – 148PerceptionUnreported45.44
McLellan, Marcos, & Burns (2001)38PerceptionUnreported13.45
Mikels et al. (2005)40PerceptionUnreported15.62
Mill et al. (2009)607PerceptionUnreported245.57
Park et al. (2010)38PerceptionUnreported17.19
Stine-Morrow et al. (2001)243PerceptionUnreported96.94
Westbury & Titone (2011)68PerceptionUnreported23.08
Allen, Madden, & Crozier (1991)48PerceptionUndisclosed38.13
Andersen et al. (2010) – 118PerceptionUndisclosed14.37
Andersen et al. (2010) – 316PerceptionUndisclosed0.14
Bannerman, Regener, & Sahraie (2011)60PerceptionUndisclosed23.87
Burke, White, & Diaz (1987)64PerceptionUndisclosed25.45
Caplan et al. (2011)200PerceptionUndisclosed56.57
Chaby, Narme, & George (2011)66PerceptionUndisclosed36.33
Deiber et al. (2010)56PerceptionUndisclosed25.77
Del Viva & Agostini (2006)32PerceptionUndisclosed35.54
Halpern (1984)40PerceptionUndisclosed38.81
Kadota & Gomi (2010)32PerceptionUndisclosed24.75
Kennedy et al. (2009)169PerceptionUndisclosed85.83
Klein et al. (2000)36PerceptionUndisclosed23.93
Kolarik, Margrain, & Freeman (2010)39PerceptionUndisclosed8.72
Madden (1992b)108PerceptionUndisclosed50.38
O'Connor, Margrain, & Freeman (2010) – 139PerceptionUndisclosed10.11
Orgeta (2010)80PerceptionUndisclosed25.73
Owsley, Sekuler, & Boldt (1981)27PerceptionUndisclosed27.24
Ridderinkhof & Wijnen (2011)40PerceptionUndisclosed35.46
Slessor et al. (2010)59PerceptionUndisclosed60.72
Spaniol et al. (2011)53PerceptionUndisclosed16.66
Speranza, Moraglia, & Schneider (2001) – 122PerceptionUndisclosed6.35
Speranza, Moraglia, & Schneider (2001) – 222PerceptionUndisclosed6.36
Speranza, Moraglia, & Schneider (2001) – 322PerceptionUndisclosed17.97
Speranza, Moraglia, & Schneider (2001) – 422PerceptionUndisclosed1.75
Werheid, Gruno, & Kathman et al. (2010) – 140PerceptionUndisclosed14.89
Werheid, Gruno, & Kathman et al. (2010) – 240PerceptionUndisclosed16.83
Winneke & Phillips (2011)34PerceptionUndisclosed6.33
Allen et al. (1993b) – 140PerceptionSelf-reported28.14
Allen et al. (1993b) – 240PerceptionSelf-reported26.98
Allen et al. (1993b) – 340PerceptionSelf-reported16.88
Madden (1988)48PerceptionSelf-reported36.64
Maguinness et al. (2011)41PerceptionSelf-reported37.43
Robert & Mathey (2007)54PerceptionSelf-reported13.45
Allen et al. (2002a) – 167Perception20/4030.70
Allen et al. (2002a) – 284Perception20/4027.23
Allen et al. (2002a) – 340Perception20/4017.88
Allen et al. (2004)193Perception20/4068.19
Gottlob et al. (2007)40Perception20/408.60
Hugenschmidt, Mozolic, & Laurienti (2009)41Perception20/4028.79
Tye-Murray et al. (2008)86Perception20/4035.28
Tye-Murray et al. (2010)106Perception20/4037.61
Scialfa et al. (1999)36Perception20/3315.88
Clancy-Dollinger (1995)24Perception20/3018.58
Garnham & Sloper (2006)60Perception20/3022.40
Johnson, Adams, & Lewis (1989)62Perception20/3039.22
Klistorner & Graham (2001)100Perception20/305.06
Kurylo (2006)26Perception20/3018.20
McKendrick, Weymouth, & Battista (2010)43Perception20/3011.53
Nguyen-Tri, Overbury, & Faubert (2003)102Perception20/3031.84
Redmond et al. (2010)68Perception20/307.02
Ross, Clarke, & Bron (1985)70Perception20/3045.89
Ruffman, Sullivan, & Dittrich (2009) - 160Perception20/3026.10
Ruffman, Sullivan, & Dittrich (2009) - 279Perception20/3026.08
Ryan, Murray, & Ruffman (2010)80Perception20/3025.40
Scialfa & Hamaluk (2001)20Perception20/3012.07
Sullivan, Ruffman, & Hutton (2007) – 160Perception20/3019.58
Sullivan, Ruffman, & Hutton (2007) – 254Perception20/3022.40
Elliott & Werner (2010)26Perception20/2513.59
Elliott et al. (2009)20Perception20/256.36
Grunwald et al. (1993)33Perception20/2519.62
Habak, Wilkinson, & Wilson (2009)36Perception20/257.45
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McKendrick et al. (2007)28Perception20/2523.94
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Kennedy, Tripathy, & Barrett (2009)22Perception20/2010.70
Rayner et al. (2006)32Perception20/2010.16
Rayner et al. (2009) - 148Perception20/2011.95
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Contributor Information

James R. Houston, Department of Psychology, University of Akron.

Ilana J. Bennett, Department of Neurobiology and Behavior, University of California, Irvine.

Philip A. Allen, Department of Psychology, University of Akron.

David J. Madden, Brain Imaging and Analysis Center, Duke University Medical Center.

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