Expanding Reliability Generalization Methods With KR-21 Estimates: An RG Study of the Coopersmith Self-Esteem Inventory

Lane, Ginny G.; White, Amy E.; Henson, Robin K.

doi:10.1177/001316402128774978

Cited by 6 publications

(8 citation statements)

References 11 publications

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“…Table compares values reported in the currents study to commonly cited artefact distributions. In some cases the difference was between the current estimates and other studies was small (.00–.04; Berry et al, ; Connolly and Viswesvaran, ; Viswesvaran and Ones, ), while in other cases the differences were substantial (.10–.15; Dalal, ; Lane et al, ). In case of the large differences between the current estimates and previous studies, our estimates of alpha were unilaterally larger.…”

Section: Discussioncontrasting

confidence: 63%

“…RG studies with specific measures have now become quite common and include such prominent measures as the Spielberger State‐Trait Anxiety Inventory (Barnes et al, ), the Coopersmith Self‐Esteem Inventory (Lane et al, ), the Myers‐Briggs Type Indicator (Capraro and Capraro, ), and the Minnesota Multiphasic Personality Inventory (Vacha‐Haase et al, ). Other studies have assessed measures related to broader organizational and work attitudes such as the Survey of Perceived Organizational Support (Hellman et al, ), the Career Decision‐Making Self Efficacy Scale (Nilsson et al, ), and the Index of Work Satisfaction for nurses (Zangaro and Soeken, ).…”

Section: Reliability Generalizationmentioning

confidence: 99%

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Meta‐Analysis of Coefficient Alpha: A Reliability Generalization Study

Greco

O’Boyle

Cockburn

et al. 2017

J Management Studies

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Increasing precision of measurement is a goal of scientific advancement, but Nunnally's (1978) .70 benchmark for coefficient alpha (alpha) has remained the omnibus test for reliability for nearly 40 years. This likely arises due to there only being scattered empirical evidence of the degree to which the field has met or surpassed this standard. Using metaanalytic techniques known as reliability generalization (RG), we cumulate alphas across 36 commonly used individual differences, attitudes, and behaviours from 1675 independent samples (N 5 991,588). Our primary finding is that alphas almost always exceed .70 and generally fall above .80. In addition, we identified factors that moderate alpha including the specific measure used, the number of scale items, and the rater. The study provides baseline alphas that can be used for research planning and design; it also offers best practices for RG and notes the benefits of RG for understanding systematic fluctuations in reliability.

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Section: Discussioncontrasting

confidence: 63%

Section: Reliability Generalizationmentioning

confidence: 99%

Meta‐Analysis of Coefficient Alpha: A Reliability Generalization Study

Greco

O’Boyle

Cockburn

et al. 2017

J Management Studies

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“…The KR-21 method has been used in previous RG studies (Henson, Kogan, & Vacha-Haase, 2001) and was considered for use in the present analysis. Lane, White, and Henson (2001) noted that the use of the KR-21 in RG studies is best justified when the reported internal consistency estimates are > .60 (and questionable when < .60). Our preliminary analysis showed that the vast majority of internal consistency estimates reported for the MAC/MAC-R, AAS, and APS were well below the suggested cutoff of .60.…”

Section: Criterionmentioning

confidence: 99%

Substance Use Scales of the Minnesota Multiphasic Personality Inventory

Miller

Shields

Campfield

et al. 2007

Educational and Psychological Measurement

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Three drug and alcohol use screening scales are embedded within the Minnesota Multiphasic Personality Inventory-2: the MacAndrew Alcoholism Scale (MAC) and its revised version (MAC-R), the Addiction Acknowledgement Scale (AAS), and the Addiction Potential Scale (APS). The current study evaluated the reliability reporting practices among 210 studies administering the MAC/MAC-R, APS, and/or AAS. Furthermore, reliability generalization methods were used to characterize the previously reported reliability estimates associated with each instrument. The vast majority of studies (90.6%) did not provide measurement reliability data, suggesting a need for improved psychometric reporting. Data from the remaining studies yielded mean and median score reliability estimates below .70 for each of the identified measures. Although limited in some instances by sample size constraints, results suggest that these instruments tend not to produce scores with acceptable levels of reliability for most research or clinical situations.

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“…The many and substantial physiological and psychosocial changes that take place during this period require frequent adjustments (Arnett, 2000;Kroger, Martinussen, & Marcia, 2010). The Coopersmith Self-Esteem Inventory (CSEI; Coopersmith, 1967Coopersmith, , 1981Coopersmith, , 2002 is one of the most commonly used self-report questionnaires (Lane, White, & Henson, 2002) designed to measure attitudes toward the self in a variety of areas (family, peers, school, and general social activities) among adolescents (Blascovich & Tomaka, 1991). The CSEI consists of 50 items and yields an overall score and four separate scores representing specific aspects of self-esteem, namely, general self, social self-peers, home parents, and school academic (or professional for adults).…”

Section: Introductionmentioning

confidence: 99%

Psychometric Properties of the French Version of the Short Form of the Coopersmith Self-Esteem Inventory Among Adolescents and Young Adults

et al. 2015

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We examined the psychometric qualities of the Short Form of the Coopersmith Self-Esteem Inventory (SF-CSEI) in a large sample of French adolescents and young adults. A 25-item French version was administered to 1,362 participants (561 aged below 16 years and 801 aged 16-25 years). Participants also completed other scales to measure construct validity (e.g., Rosenberg Self-Esteem Scale, Hospital Anxiety and Depression Scale, and General Health Questionnaire). Factorial analysis yielded evidence for a structure with three first-order factors for the SF-CSEI: personal, social, and family-derived self-esteem. The internal consistency of the questionnaire's different dimensions was satisfactory (Cronbach's α = .68-.77). Pearson's correlation coefficients showed that the SF-CSEI had moderate to high correlations with convergent measures (r = .19-.73) and constructs related to self-esteem (r = -.23-.65). Psychiatric patients (n = 67) scored significantly lower than a control group. Test-retest reliability was good for some of the factors, especially at 5 weeks and 1 year (r = .29-.79). The French version of the SF-CSEI appears to be a useful instrument, with a cross-culturally stable factorial structure.

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Expanding Reliability Generalization Methods With KR-21 Estimates: An RG Study of the Coopersmith Self-Esteem Inventory

Cited by 6 publications

References 11 publications

Meta‐Analysis of Coefficient Alpha: A Reliability Generalization Study

Meta‐Analysis of Coefficient Alpha: A Reliability Generalization Study

Substance Use Scales of the Minnesota Multiphasic Personality Inventory

Psychometric Properties of the French Version of the Short Form of the Coopersmith Self-Esteem Inventory Among Adolescents and Young Adults

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