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Updated: Oct 20, 2025

ScanLag: High-throughput Quantification of Colony Growth and Lag Time

ScanLag: High-throughput Quantification of Colony Growth and Lag Time

Published on: July 15, 2014

Start Small, not Random: Why does Justifying your Time-Lag Matter?

Yannick Griep^1,2, Ivana Vranjes³, Johannes M Kraak⁴

¹Radboud Universiteit (The Netherlands).

The Spanish Journal of Psychology

|September 13, 2021

Summary

This summary is machine-generated.

Choosing appropriate time-lags in repeated measurement designs is crucial for valid research in organizational psychology. This study critiques current practices and advocates for time-sensitive theory and descriptive studies to better understand temporal dynamics.

Keywords:

repeated measurement time time-lags time-sensitive theory

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Area of Science:

Organizational Behavior
Work and Organizational Psychology

Background:

Repeated measurement designs are increasingly common in organizational studies.
Current literature often lacks rigorous justification for time-lag choices in these designs.

Purpose of the Study:

To evaluate the appropriateness and justification of time-lag decisions in repeated measurement research.
To offer guidance on optimal time-lag selection and the role of time-sensitive theory.
To encourage explicit consideration of temporal dynamics in research.

Main Methods:

Literature review and critique of existing time-lag selection practices.
Theoretical discussion on optimal time-lag determination.
Recommendations for future research methodologies.

Main Results:

Existing methods for selecting time-lags in repeated measures research are often inadequate.
Time-sensitive theory building is essential for guiding appropriate time-lag choices.
Descriptive studies with short time-lags are needed to reveal change processes.

Conclusions:

Authors should explicitly address temporal dynamics in their research.
Advocacy for descriptive studies with short time-lags to capture change over time.
Improved rigor in time-lag selection is necessary for advancing organizational research.