Studying within-person changes in work, motivation in the short and medium-term: You will likely need more measurement points than You think!  <span class="so-article-trans-title" dir="auto"> Translated title: Análisis de los cambios intrapersona en la motivación laboral a corto y medio plazo: ¡probablemente necesites más puntos de medición de los que crees! </span>

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Abstract

ABSTRACT Within-person analysis of data from longitudinal designs has become popular in the field. However, important characteristics of the design can influence that variability. In this paper, we examine how the number of measurement points obtained per participant influences in the within-person variance in work motivation. Using two sources of evidence (a systematic review and an empirical study) we show how the number of assessments substantially influences the amount of within-person variance reaching values of 52%-54% of total variance. We found that a minimum of 25-30 measurement points per participant is required to be rigorous.

Translated abstract

RESUMEN En el estudio de la motivación laboral, el análisis intrapersona de datos provenientes de diseños longitudinales es hoy común en el área. Sin embargo, algunas características del diseño de investigación empleado pueden estar influyendo en la variabilidad intrapersona encontrada. En este trabajo analizamos cómo influye el número de medidas repetidas por participante en la varianza intrapersona de la motivación laboral. Mediante dos estudios (una revisión sistemática y un estudio empírico original) mostramos cómo el número de medidas repetidas influye significativamente en la varianza intrapersona encontrada, que llega a alcanzar valores máximos del 52%-54% sobre el total de la varianza. Para llegar a esos valores de varianza explicada en el caso de la motivación laboral se necesitarían un mínimo de 25-30 medidas repetidas para ser rigurosos en la medida de la varianza intrapersona.

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Diary methods: capturing life as it is lived.

Niall Bolger, Angelina Davis, Eshkol Rafaeli (2003)

In diary studies, people provide frequent reports on the events and experiences of their daily lives. These reports capture the particulars of experience in a way that is not possible using traditional designs. We review the types of research questions that diary methods are best equipped to answer, the main designs that can be used, current technology for obtaining diary reports, and appropriate data analysis strategies. Major recent developments include the use of electronic forms of data collection and multilevel models in data analysis. We identify several areas of research opportunities: 1. in technology, combining electronic diary reports with collateral measures such as ambulatory heart rate; 2. in measurement, switching from measures based on between-person differences to those based on within-person changes; and 3. in research questions, using diaries to (a) explain why people differ in variability rather than mean level, (b) study change processes during major events and transitions, and (c) study interpersonal processes using dyadic and group diary methods.