A growth curve approach to the measurement of change.

Rogosa, David; Brandt, David A.; Zimowski, Michele F.

doi:10.1037/0033-2909.92.3.726

Cited by 975 publications

(792 citation statements)

References 60 publications

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“…Psychologically speaking, such patterns of correlations can occur when the Time 1 and Time 2 measures of conflict reflect trajectory processes, whereby some couples are steadily increasing in conflict while others are reducing their conflict. The proper interpretation of such trajectory patterns has been discussed by Rogosa (1988;Rogosa, Brandt, & Zimowski, 1982). In a nutshell, when conflict at Time 2 is held constant at its mean value, then persons with unusually low Time 1 conflict will tend to have a trajectory of increasing conflict, whereas persons with unusually high Time 1 conflict will tend to have a trajectory of decreasing conflict.…”

Section: Suppressor Variable Processesmentioning

confidence: 98%

Mediation in experimental and nonexperimental studies: New procedures and recommendations.

Shrout¹,

Bolger²

2002

Psychological Methods

9,424

127

7,247

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Mediation is said to occur when a causal effect of some variable X on an outcome Y is explained by some intervening variable M. The authors recommend that with small to moderate samples, bootstrap methods (B. Efron & R. Tibshirani, 1993) be used to assess mediation. Bootstrap tests are powerful because they detect that the sampling distribution of the mediated effect is skewed away from 0. They argue that R. M. Baron and D. A. Kenny's (1986) recommendation of first testing the X → Y association for statistical significance should not be a requirement when there is a priori belief that the effect size is small or suppression is a possibility. Empirical examples and computer setups for bootstrap analyses are provided.

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Section: Suppressor Variable Processesmentioning

confidence: 98%

Mediation in experimental and nonexperimental studies: New procedures and recommendations.

Shrout¹,

Bolger²

2002

Psychological Methods

9,424

127

7,247

View full text Add to dashboard Cite

show abstract

“…With respect to correlational analyses of the very old sample, we follow both practices and report both Posttest II performance and treatment gains. Two types of treatment gains were computed (e.g., Cronbach & Furby, 1970; but see also Rogosa, Brandt, & Zimowski, 1982): (a) simple difference scores between pretest and Posttest II and (b) residualized gain scores reflecting interindividual differences in change from pretest to Posttest II controlled for differences at pretest. Simple difference scores and residualized gain scores were highly correlated in the present sample of very old adults (r ϭ .99), and the pattern of results was identical for the two scores.…”

Section: Statistical Analysesmentioning

confidence: 99%

Plasticity of memory for new learning in very old age: A story of major loss?

Singer¹,

Lindenberger²,

Baltes³

2003

Psychology and Aging

194

122

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Longitudinal survivors of the Berlin Aging Study (N ϭ 96, mean age ϭ 84 years, range 75-101 years) were instructed and trained in a mnemonic skill to examine plasticity of episodic memory performance in very old age. Performance gains after mnemonic instruction were modest, and most individuals were unable to further enhance their performance during 4 sessions of mnemonic practice. Whereas the proportion of variance explained by measures from the broad fluid-ability domain (e.g., perceptual speed) increased with training, the proportion of variance explained by crystallized-ability domain (e.g., word knowledge) and sociobiographical variables decreased. Furthermore, prior 6-year longitudinal changes (loss) in perceptual speed predicted individual differences in plasticity. Results suggest that aginginduced biological factors are a prominent source of individual differences in cognitive plasticity in very old age.

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“…Studies of temporal variation in repertoires are particularly relevant to research on learning, development and cultural elaboration. Techniques range from representing change in descriptive plots of trend lines to growth curve models that model the time trend in formal ways (Rogosa et al, 1982).…”

Section: Scaling and Representing Similarity In Cultural Toolkitsmentioning

confidence: 99%

A toolkit for analyzing corporate cultural toolkits

Weber

2005

Poetics

139

105

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The cultural and discursive underpinning of industries and markets has received growing attention in recent years. I use Ann Swidler's conceptualization of culture as toolkit, and Pierre Bourdieu's concept of habitus as the starting point to further this enterprise. The article illustrates a strategy for measuring and comparing the cultural toolkits in use by different actors in a larger field. The strategy allows quantitative comparisons of similarity at the level of large comprehensive toolkits instead of selective elements or inferred deeper dimensions. It also takes into account the embeddedness of actors' cultural toolkits in the structures of larger social fields and the specificity of toolkits to communication contexts. While this analytic strategy is potentially applicable to any actor's toolkit in a recurring communication context, I use as an illustration the repertoires that different corporations in the pharmaceutical industry employ to account for their activities in their annual reports. #

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A growth curve approach to the measurement of change.

Cited by 975 publications

References 60 publications

Mediation in experimental and nonexperimental studies: New procedures and recommendations.

Mediation in experimental and nonexperimental studies: New procedures and recommendations.

Plasticity of memory for new learning in very old age: A story of major loss?

A toolkit for analyzing corporate cultural toolkits

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