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Record W2000448997 · doi:10.1037/cp2006009

Implicit and explicit self-esteem: What are we measuring?

2006· article· en· W2000448997 on OpenAlexaff
Romin W. Tafarodi, Caroline Ho

Bibliographic record

VenueCanadian Psychology/Psychologie canadienne · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologySelf-esteemSocial psychologyCognitive psychologyPsychoanalysis

Abstract

fetched live from OpenAlex

Abstract For nearly 60 years, researchers and practitioners have struggled toward agreement on the definition and of self-esteem. Both consensus and precision have proven elusive, and debate about what we are or should be measuring with our instruments continues today. In this article, we offer a clarifying account of the nature of self-esteem as a key aspect of personal identity and examine its legitimacy as a construct. The distinction between implicit and explicit self-esteem is discussed in this context, raising critical questions about the theoretical status of the former. Any discussion of the of a test presupposes a definite quality to be measured. An easy separation of from definition, however, is possible only when the quality reduces to purely operational terms that are rarely contested (e.g., distance, conductivity, blood pressure). Moreover, the routine measurement of even such qualities is intimately tied to supporting networks of theoretical and empirical relations that ultimately blur the distinction between defining the quality and measuring it (Cliff, 1982). This interdependence becomes all the more clear for psychological qualities. Here, the question of whether a test is working as intended usually cannot be answered by referring to a single operationally defined criterion. Rather, one is forced to take up the more fundamental task of trying to determine just what the test is measuring and whether this quality or qualities are consistent with the claims of the designer. This is accomplished by building around the test a of confirmed relations to pertinent constructs and related measures (Cronbach & Meehl, 1955). The of the test is reflected in the extent to which the network is logically consistent with the working definition of the quality that is the target of and the inferences that follow from this working definition. Thus, construct validity supports both the definition of the quality and one's success in measuring it. A test that fails to demonstrate a crucial relation posited in its nomological net may reflect either poor or misunderstanding of the quality being measured. This presents a dilemma for the researcher who is confronted with a critical disconfirmation. How does one proceed? Should the test be improved? The quality redefined? Both? The of self-esteem over the past half-century has been marked by this programmatic dilemma and the dynamics of uncertainty and change are no less prominent today. In the hope of providing a useful starting point for making sense of recent developments in this continuing evolution - especially the current emphasis on implicit versus explicit - we offer a brief conceptual analysis. Self-Esteem as a Hypothetical Variable We begin by specifying the kind of quality that self-esteem represents. A long-standing distinction proposed by MacCorquordale and Meehl (1948) can be applied here. On one hand, there are psychological that amount to nothing more than the quantitative or qualitative relations of more primary observable entities. They contain no surplus content and are merely formal or informal abstractions from empirical observations or relations. These intervening variables are exemplified by dispositional concepts such as plasticity, dominance, and reactivity. Clearly, these are not entities, processes, or events of any kind. They are summary abstractions of behavioural patterns. On the other hand, there are psychological that entail the existence of entities, processes, or events that are not directly observable but are posited to explain that which is observable. Often these hypothetical variables begin as metaphors needed to fill theoretical gaps. Over time, many become reified into self-standing concepts with existential content. Historical examples in psychology are engram, libido, and iconic store. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.318
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations37
Published2006
Admission routes1
Has abstractyes

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