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PubMed2005

Measuring task-switching ability in the Implicit Association Test.

Recently, the role of method-specific variance in the Implicit Association Test (IAT) was examined (McFarland & Crouch, 2002; Mierke & Klauer, 2003). This article presents a new content-unspecific control task for the assessment of task-switching ability within the IAT methodology. Study 1 showed that this task exhibited good internal consistency and stability. Studies 2-4 examined method-specific variance in the IAT and showed that the control task is significantly associated with conventionally scored IAT effects of the IAT-Anxiety. Using the D measures proposed by Greenwald, Nosek, and Banaji (2003), the amount of method-specific variance in the IAT-Anxiety could be reduced. Possible directions for future research are outlined.

Adolescent↗
PubMed2001

Figure-ground asymmetries in the Implicit Association Test (IAT).

Based on the assumption that binary classification tasks are often processed asymmetrically (figure-ground asymmetries), two experiments showed that association alone cannot account for effects observed in the Implicit Association Test (IAT). Experiment 1 (N = 16) replicated a standard version of the IAT effect using old vs. young names as target categories and good and bad words as attribute categories. However, reliable compatibility effects were also found for a modified version of the task in which neutral words vs. nonwords instead of good vs. bad words were used as attribute categories. In Experiment 2 (N = 8), a reversed IAT effect was observed after the figure-ground asymmetry in the target dimension had been inverted by a previous go/nogo detection task in which participants searched for exemplars of the category "young." The experiments support the hypothesis that figure-ground asymmetries produce compatibility effects in the IAT and suggest that IAT effects do not rely exclusively on evaluative associations between the target and attribute categories.

Adult↗
PubMed2002

Power and design considerations for a general class of family-based association tests: quantitative traits.

In the present article, we address family-based association tests (FBATs) for quantitative traits. We propose an approach to analytical power and sample-size calculations for general FBATs; this approach can be applied to virtually any scenario (missing parental information, multiple offspring per family, etc.). The power calculations are used to discuss optimal choices of the phenotypes for the FBAT statistic and its power's dependence on ascertainment conditions, on study design, and on the correct specification of the distributional assumptions for the phenotypes. We also compare the general FBAT approach with PDT and QTDT. The practical relevance of our theoretical considerations is illustrated by their application to an asthma study.

Adult↗
PubMed1998

Word Association Test and psychosexual cues in assessing persons with eating disorders.

The present study aimed to detect psychosexual conflicts in patients with eating disorders using the Word Association Test which tests the perceptual sensitivity of the subject to conflictual words. We also expected patients to show concern about food and eating. 19 anorexic patients, 21 bulimic patients, and 20 control subjects without eating disorders provided associations to four groups of words: psychosexual words, food words, emotionally loaded words, and neutral words. Reaction times were recorded. Analysis showed that anorexic patients were slower than controls in responding to food-related words but bulimic patients were not significantly different from controls. Anorexic patients reacted more slowly than controls to psychosexual words. Bulimic patients were also somewhat slower than controls but faster than anorexic patients; however, these differences were not statistically significant. Results are congruent with research that points to sexual problems and delays in the psychosexual development of anorexic patients and to a lesser extent of bulimic patients.

Adult↗
PubMed2001

Family-based association test method: age of onset traits and covariates.

We apply different family-based association test (FBAT) statistics for age of onset traits to the Genetics Analysis Workshop 12, problem 2 data. To evaluate different FBAT statistics we used the software package FBAT, which allows one to evaluate any test statistic that can be expressed as the sum of products between an arbitrary function of an offspring's genotype with an arbitrary function of the offspring's phenotype even if there are missing parental information. For single nucleotide polymorphisms (SNPs) in gene 1, our age-of-onset FBAT test based on the exponential model is significantly more powerful than the test by Mokliatchouk et al. [Hum Hered 51:46-53, 2000], which is based on the Cox model. We suggest incorporating covariates into FBAT statistics by replacing the trait values by their regression residuals. For the age of onset trait statistics we find that deviance residuals have much more power than "plain" martingale residuals. We discuss why for SNPs in gene 1, the usual affectation status trait, which underlies the transmission disequilibrium test (TDT), has higher power than the age-of-onset trait. We find only weak evidence (p = 0.0002) that marker D06G032 is associated with the affectation status.

Adult↗
PubMed2001

The relative power of SNPs and haplotype as genetic markers for association tests.

Identifying the polymorphisms that contribute to disease predisposition and drug response is a major goal of the post-genome era. Single nucleotide polymorphisms (SNPs) in disease-related genes are often used as candidates in the search for causative variations. Association tests based on haplotypes have also been suggested and, at times, have provided greater statistical power than tests based on the underlying SNPs. Here we review the statistical model traditionally used to describe association studies for complex traits and derive novel results for the relative power of SNP-based and haplotype-based tests of association. In the model, a set of independent SNP-based variations, some of which contribute to a measured phenotype, may be used as markers directly or may be organised into haplotype markers. Provided that the marker set includes all the causative SNPs, we find a simple rule for the relative power of SNP and haplotype markers: SNP-based tests have greater power when the number of causative SNPs (a subset of the total set of SNPs) is smaller than the total number of haplotypes. Furthermore, we find that regression tests for the simple main effect of each haplotype are generally more powerful than ANOVA tests applied to haplotype pairs. A review of recent literature supports our findings.

Analysis of Variance↗
PubMed2005

Task-set inertia, attitude accessibility, and compatibility-order effects: new evidence for a task-set switching account of the implicit association test effect.

Based on a task-set switching account of the Implicit Association Test (IAT), the authors predict a specific pattern of aftereffects as a consequence of working through IAT blocks. In Study 1, performance in an evaluative decision task, but not in a color-naming task, was decreased after working through the incompatible rather than compatible block of a flower-insect IAT. In Study 2, response latencies in an evaluative rating task, but not in a color-rating task, were analogously affected, whereas the ratings themselves were not a function of the compatibility of prior IAT blocks. The aftereffects demonstrate reactivity of the IAT; they bear on the mechanisms underlying the IAT and on compatibility-order effects.

Adult↗
PubMed2006

Family-based association tests for ordinal traits adjusting for covariates.

We present a class of family-based association tests (FBATs) for ordinal traits that adjust for the effects of covariates. For complex diseases, especially mental health conditions including nicotine dependence and substance use, the outcome variables are often recorded in an ordinal rather than quantitative scale. The naturally recorded ordinal traits are commonly analyzed either as quantitative traits or are dichotomized. It has been demonstrated repeatedly in recent studies that these commonly used approaches to dealing with ordinal traits are inadequate and result in loss of power. In this report, we make use of conditional likelihood to derive score test statistics that belong to a general class of FBATs. We conducted simulation studies to compare the type I error and power of our proposed test with existing tests. The empirical result suggests that our test produces reasonable type I errors and has power far exceeding (often doubling) those of existing tests. We applied our proposed test to a data set on alcohol dependence and found that six single nucleotide polymorphisms (SNPs) are significantly associated (P-values < or =0.001) with alcohol dependence after adjusting for gender and age. Three of the SNPs (rs619, rs1972373, and rs1571423) or their tightly linked regions have been suggested in the literature from the analysis of the same data, demonstrating the consistent findings between various methods. The other three SNPs (rs485874, rs718251, and rs1869907) are identified for the first time using this data set, underscoring the potential power of our proposed test.

Alcoholism↗
PubMed2005

Exact family-based association tests for biallelic data.

Family-based study designs have an important role in the search for association between disease phenotypes and genetic markers. Unlike traditional case-control methods, family-based tests use within-family data to avoid identification of spurious associations that may result from population admixture. Many family-based association tests have been proposed to accommodate a variety of ascertainment schemes and patterns of missing data. In this report, we describe exact family-based association tests for biallelic data. Specifically, we discuss test of the null hypotheses "no linkage and no association" and "linkage, but no association". These tests, which are valid under various models for inheritance and patterns of missingness, utilize the procedure proposed by Rabinowitz and Laird [2000: Hum Hered 50:211-223] that provides a unified framework for family based association testing (FBAT). The conditioning approach implemented in FBAT makes an exact test conceptually straightforward, but computationally difficult since the minimum sufficient statistics upon which we condition do not have a conventional form. An exact test may be especially critical when accurate computation of the extreme area of the FBAT statistic is needed, such as when the study design necessitates multiple comparisons adjustments. We describe the exact approach as a useful alternative to the asymptotic test and show that the exact tests for biallelic data may be most useful for the recessive disease model.

Algorithms↗
PubMed2006

Stimulus affectivity of the Danish Word Association Test as measured by response heterogeneity and Rasch scaled number of prolonged reaction times.

With the purpose of increasing the knowledge of the psychometric properties of the 70-item Danish Word Association Test, data from three samples of non-patients and psychiatric patients (N = 326) were used to provide two measures of affectivity of the stimulus words, response heterogeneity and reaction time prolongation. It was possible to fit an item response theory one-parameter measurement (Rasch) model to the number of reaction time prolongations (> or =3 seconds) for 54 of the stimulus words. Correlation between Rasch-model item parameters and response heterogeneity was high (r = 0.86), while no correlation was found between either of these measures and frequency of the stimulus words in the Danish language. Both measures of stimulus affectivity supported a theoretically based classification of stimulus words as emotional or neutral. Response heterogeneity measures and Rasch measurement item and person parameters for reaction time prolongations are provided.

Adult↗