Denoting the base-free measure of change

Bond criticized the base-free measure of change proposed by Tucker, Damarin, and Messick by pointing to an incorrect derivation which is here viewed instead as a correct derivation entailing an inadequately specified tacit assumption. Bond's revision leads to estimates of the correlation between initial position and change which are negatively biased by correlated errors, whereas the original approach, with the tacit assumption properly denoted, leads to unbiased values.     

On the base-free measure of change proposed by Tucker,Damarin and Messick

Tucker, Damarin and Messick proposed a base-free measure of change which involves the computation of residual scores that are uncorrelated with true scores on the pretest. The present note discusses this change measure and demonstrates that, because of an incorrect derivation by the authors, properties they attribute to (the coefficient for the regression of true scores from the second testing on true scores from the first testing) are, in fact, properties ofb, the ordinary regression coefficient. A correct derivation of the initial position—change correlation in terms of is obtained, and Tucker et al.'s discussion of the law of initial values is reconsidered.The preparation of this paper was supported by the Learning Research and Development Center supported in part as a research and development center by funds from the National Institute of Education.     

A base-free measure of change

A model for the measurement of the discrepancy between two scores is presented and discussed as a paradigm for the study of growth or experimentally produced change. The model assumes two tests or measures differing in complexity, and it analyzes the true difference between the test scores into a component that is entirely dependent on the first or base-line test and a second component that is entirely independent of it. Equations for estimating both components are given and these are compared with other measurement efforts with similar goals.     

Kelley's formula as a basis for the assessment of reliable change

In the literature on the measurement of change,reliable change is usually determined by means of a confidence interval around an observed value of a statistic that estimates thetrue change. In recent literature on the efficacy of psychotherapies, attention has been particularly directed at the improvement of the estimation of the true change. Reliable Change Indices, incorporating thereliability-weighted measure of individual change, also known as Kelley's formula, have been proposed. According to current practice, these indices are defined as the ratio of such an estimator and an intuitively appealing criterion and then regarded as standard normally distributed statistics. However, because the authors fail to adopt an adequate standard error of the estimator, the statistical properties of their indices are unclear. In this article, it is shown that this can lead to paradoxical conclusions. The adjusted standard error is derived.     

Examining the reliability of ADAS-Cog change scores

The purpose of this study was to estimate and examine ways to improve the reliability of change scores on the Alzheimer’s Disease Assessment Scale, Cognitive Subtest (ADAS-Cog). The sample, provided by the Alzheimer’s Disease Neuroimaging Initiative, included individuals with Alzheimer’s disease (AD) (n = 153) and individuals with mild cognitive impairment (MCI) (n = 352). All participants were administered the ADAS-Cog at baseline and 1 year, and change scores were calculated as the difference in scores over the 1-year period. Three types of change score reliabilities were estimated using multivariate generalizability. Two methods to increase change score reliability were evaluated: reweighting the subtests of the scale and adding more subtests. Reliability of ADAS-Cog change scores over 1 year was low for both the AD sample (ranging from .53 to .64) and the MCI sample (.39 to .61). Reweighting the change scores from the AD sample improved reliability (.68 to .76), but lengthening provided no useful improvement for either sample. The MCI change scores had low reliability, even with reweighting and adding additional subtests. The ADAS-Cog scores had low reliability for measuring change. Researchers using the ADAS-Cog should estimate and report reliability for their use of the change scores. The ADAS-Cog change scores are not recommended for assessment of meaningful clinical change.     

A note on Tryon's measure of reliability

Two alternative formulas, based upon the analysis of variance, are given for Tryon's general form for the reliability coefficient.     

The relative error magnitude in three measures of change

Formulas for the standard error of measurement of three measures of change—simple difference scores, residualized difference scores, and the measure introduced by Tucker, Damarin, and Messick—are derived. Equating these formulas by pairs yields additional explicit formulas which provide a practical guide for determining the relative error of the three measures in any pretest-posttest design. The functional relationship between the standard error of measurement and the correlation between pretest and posttest observed scores remains essentially the same for each of the three measures despite variations in other test parameters (reliability coefficients, standard deviations), even when pretest and posttest errors of measurement are correlated.     

A further note on freeman's measure of association

This note extends and elaborates Hubert's attempt to provide an interpretation of Freeman's measure of association,. The measure is used in a a contingency table when observations are ordered on one variable and unordered on the other. No attempt is made explore the distribution of.     

A still further note on freeman's measure of association

This article demonstrates that Freeman's theta, a measure of association between a nominal variable and an ordinal variable, has a sampling distribution identical with the sampling distribution of Mann-Whitney'sU.     

A note on moran's measure of multiple rank correlation

A measure of multiple rank correlation,T _y.12 ², is proposed for the situation with no tied observations in the variables. The measure is a weighted average of two squared Kendall taus. It is shown thatT _y.12 ² is equivalent to a statistic previously proposed by Moran and thus a new interpretation is given to Moran's statistic.The author wishes to thank Nancy Anderson, Willard Larkin, and Kent Norman for their helpful comments.     

On the identification of clinically significant client changes: Reinterpretation of Jacobson's cut scores

Cut points or cut scores play a central role in Jacobson's popular method of identifying clinically significant changes in psychotherapy. When pre- and posttherapy scores of a client are on different sides of one of these cut scores, the change is considered clinically significant, provided that it is also reliable (i.e., not due to measurement errors). This article critically examines the meanings and implications of these cut scores. Contrary to popular beliefs, they are generallynot the test scores for which the probability of belonging to the Functional population is equal to the probability of belonging to the Dysfunctional population. When the Functional population distribution is above that of the Dysfunctional population, persons scoring above these cut scores can, in fact, have much greater probabilities of belonging to the Dysfunctional than to the Functional population. Goals of Jacobson's method can be attained only with Bayesian methods. Bayesian modifications of Jacobson's cut scores are proposed, although their use is limited by the availability of relevant base rates. Bayesian methods (a) can provide information about the probability that an individual belongs to each population, given his (her) score, and (b) are expected to yield total misdiagnosis rates that are many times lower than those of Jacobson's method. Users of Jacobson's method are cautioned against interpreting ratios of likelihoods as if they were ratios of posterior probabilities.     

Another way to think about psychological change: experiential vs. incremental

The traditional pre-post treatment difference reflects an incremental notion of change, where a quantity of some psychological function is added to (or subtracted from) a pretreatment quantity. This study presents a complementary, experiential notion of change. Rather than a difference, change is a feeling or experience of having changed, a feeling that one is different than before. Based on a post-treatment interview the Change after Psychotherapy (CHAP) is a method to quantify/rate such ‘differentness’ in terms of how extensively or radically the patient feels having changed. A pre-post quasi-experimental study (N = 49) comparing the CHAP with ratings on the Global Assessment of Functioning, the Karolinska Psychodynamic Profile and the Comprehensive Psychopathological Rating Scale-Self-Affective is reported. The results showed the CHAP to be a reliable, valid and sensitive way to assess an experiential kind of CHAP.     

未雨绸缪：变革前非正式信息对员工变革抵制意愿的影响

组织变革前总会有小道消息等非正式信息传播, 这些信息是员工提前了解变革的重要来源。研究探索变革前非正式信息对员工变革前抵制意愿的影响, 以及员工变革抵制意愿随时间推移的变化。基于255位样本数据的结构方程模型及多层次线性增长模型分析表明：(1)变革前非正式信息的消极性及不完整性, 显著负向影响员工变革认知, 进而使员工变革抵制意愿上升; (2)随着时间推移, 员工变革抵制意愿显著衰减, 即从变革前到变革发生时抵制意愿显著降低。研究揭示了变革前非正式信息对员工有“热身准备”的作用, 能够帮助员工提前适应, 从而更好地应对变革。研究结果有助于变革的顺利实施。     

Classical test theory based and factor analytic structural models for analyzing change: A note on differences and similarities

This note is concerned with differences and similarities between structural models for analyzing change, which are conceptualized within two different modelling traditions: the one based on the classical test theory, and that within the factor-analytic approach. It is shown that these two possibilities lead to models for studying change, which are indistinguishable when using for data analytic purposes structural modeling programs, such as LISREL, EQS, COSAN, LISCOMP, RAMONA, EzPATH, SAS PROC CALIS. The reason for this data-analytic equivalence of the two conceptually different types of models is the confounding of their differences in the corresponding implied covariance matrix structures.     

The effects of a job crafting intervention on the success of an organizational change effort in a blue-collar work environment

The current study in a blue-collar context investigates whether a job crafting intervention may facilitate employee adaptation to organizational change, while decreasing exhaustion and increasing positive attitudes towards change and safety behaviour. It was hypothesized that the intervention would increase job crafting behaviours (i.e., seeking resources, seeking challenges, and optimizing demands) resulting in decreased employee exhaustion, and improved change attitudes and employee safety behaviour (i.e., adherence to organization’s standard operating procedures). The quasi-experimental study revealed that, after the intervention (consisting of a workshop, four weeks of job crafting implementation, and an evaluative session), employees reported an increase in two of the three trained job crafting strategies (i.e., seeking challenges, optimizing demands). Moreover, those who participated in the intervention reported lower levels of exhaustion, improved cognitive and behavioural attitudes towards change, and increased safety behaviour. The intervention was found to improve the affective, cognitive, and behavioural components of a change attitude due to increases in seeking challenges. Results were similar after controlling for quality information and leadership behaviour during the change. It is concluded that a job crafting intervention and resulting job crafting behaviour can be an effective way to achieve successful adaptation to organizational change.     

Promotion of social change: a conceptual framework

This paper argues for the need to advance promotion efforts and proposes a conceptual framework for promotion of social change. A brief review is presented of traditional frameworks for the prevention of mental and social disorders and the promotion of wellness and social competencies, with attention to the ways in which promotion of social change extends and departs from these frameworks. In a framework for promoting social change, we advocate for promoting dynamic processes within systems, rather than outcomes within individuals. Systems are viewed as flexible and capable of facilitating multiple adaptive pathways for individuals and groups. Promoting social change also involves careful attention to critical analysis, values, language, and contextual processes. Examples are discussed throughout to illustrate how these principles have been used in the past and can be implemented in future efforts to promote social change.     

A note on latent trait theory and Bowker's test

Bowker's test for marginal equality in contingency tables provides a familiar chi-square test to determine whether the marginal distributions are the same across two or more factors or occasions. In this note it is shown how latent trait theory provides a theoretical framework for the development and application of this test.The research reported here was supported by a grant to the senior author from the National Institute on Aging (AG03164).