Effects of repeated administration of the Beck Depression Inventory and other measures of negative mood states

Sharpe, J. Patrick; Gilbert, David G.

doi:10.1016/s0191-8869(97)00193-1

Cited by 107 publications

(108 citation statements)

References 8 publications

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“…Gilbert and McClernon (2000) also suggested that selfrated stress levels tend to decrease with repeated measurement, citing several studies where this had been found (e.g. Choquette and Hesselbrock 1987;Gilbert et al 2002;Hatzenbuehler et al 1983;Sharpe and Gilbert 1998). Therefore, it is important to examine the generality and robustness of this phenomenon and consider how it might effect prospective nicotine research, not only the adult cessation findings (present section), but also the adolescent initiation literature (previous section).…”

Section: Prospective Consequences Of Smoking Cessation In Adulthoodmentioning

confidence: 82%

Nicotine psychobiology: how chronic-dose prospective studies can illuminate some of the theoretical issues from acute-dose research

Parrott

2006

Psychopharmacology

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Section: Prospective Consequences Of Smoking Cessation In Adulthoodmentioning

confidence: 82%

Nicotine psychobiology: how chronic-dose prospective studies can illuminate some of the theoretical issues from acute-dose research

Parrott

2006

Psychopharmacology

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“…Van der Zouwen and Van Tilburg (2001) showed that most of their evidence of panel conditioning for measurement of personal network size in repeated personal interviews could be attributed to behavior of the interviewers. Sharpe and Gilbert (1998) find that repeated testing (interrupted by a 1 week interval) increases the scores on the Beck depression scale and attribute this to socially desirable responding, mood-congruent associative processing, or self-monitoring, triggered by the first interview. Similar effects, called "testing effects" in this context, were found within the same experimental session by Chan and McDermott (2007).…”

Section: Introductionmentioning

confidence: 88%

Can I Use a Panel? Panel Conditioning and Attrition Bias in Panel Surveys

2007

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Over the past decades there has been an increasing use of panel surveys at the household or individual level, instead of using independent cross-sections. Panel data have important advantages, but there are also two potential drawbacks: attrition bias and panel conditioning effects. Attrition bias can arise if respondents drop out of the panel non-randomly, i.e., when attrition is correlated to a variable of interest. Panel conditioning arises if responses in one wave are influenced by participation in the previous wave(s). The experience of the previous interview(s) may affect the answers of respondents in a next interview on the same topic, such that their answers differ systematically from the answers of individuals who are interviewed for the first time. The literature has mainly focused on estimating attrition bias; less is known on panel conditioning effects.In this study we discuss how to disentangle the total bias in panel surveys due to attrition and panel conditioning into a panel conditioning and an attrition effect, and develop a test for panel conditioning allowing for non-random attrition. First, we consider a fully nonparametric approach without any assumptions other than those on the sample design, leading to interval identification of the measures for the attrition and panel conditioning effect. Second, we analyze the proposed measures under additional assumptions concerning the attrition process, making it possible to obtain point estimates and standard errors for both the attrition bias and the panel conditioning effect.We illustrate our method on a variety of questions from two-wave surveys conducted in a Dutch household panel. We found a significant bias due to panel conditioning in knowledge questions, but not in other types of questions. The examples show that the bounds can be informative if the attrition rate is not too high. Point estimates of the panel conditioning effect do not vary a lot with the different assumptions on the attrition process. * CentERdata, Tilburg University * * Department of Econometrics and Operations Research, Faculty of Economics and Business Administration, Tilburg University 1 Please address correspondence to: Marcel Das, CentERdata, Tilburg University, P.O. Box 90153, 5000 LE Tilburg, The Netherlands. E-mail: das@uvt.nl. We are very grateful to Ramon van den Akker for his help and comments.

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“…For over 50 years, researchers have noticed that reports of levels and severity of certain symptoms and maladaptive experience diminish over repeated assessments (1)(2)(3)(4).…”

Section: Conflicts Of Interestmentioning

confidence: 99%

Initial elevation bias in subjective reports

Shrout

Stadler

Lane

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

165

194

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Initial Elevation of Reports 2 SignificancePeople's reports of their own thoughts, feelings and behaviors are essential assessment tools in biomedical and social science. They be used to take a snapshot of how people are doing and to track change and the effects of interventions. When subjective states have been studied over time, researchers have often observed an unpredicted and puzzling decrease with repeated assessments. Our results across multiple outcomes in four field experiments suggest that this pattern is due to an initial elevation bias. This effect is larger for reports of internal states rather than behaviors and for negative mental states and physical symptoms than for positive states. This initial elevation bias needs to be considered in all types of research using subjective reports. AbstractPeople's reports of their thoughts, feelings and behaviors are used in many fields of biomedical and social science. When these states have been studied over time, researchers have often observed an unpredicted and puzzling decrease with repeated assessment. When noted, this pattern has been called an "attenuation effect", suggesting that the effect is due to bias in later reports. However, the pattern could also be consistent with an initial elevation bias. We present the first systematic, experimental bias, rather than a later decline. This bias is larger for reports of internal states than behaviors, and for negative mental states and physical symptoms than positive states.

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Effects of repeated administration of the Beck Depression Inventory and other measures of negative mood states

Cited by 107 publications

References 8 publications

Nicotine psychobiology: how chronic-dose prospective studies can illuminate some of the theoretical issues from acute-dose research

Nicotine psychobiology: how chronic-dose prospective studies can illuminate some of the theoretical issues from acute-dose research

Can I Use a Panel? Panel Conditioning and Attrition Bias in Panel Surveys

Initial elevation bias in subjective reports

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