Francisco Wilhelm

Francisco Wilhelm

Doctoral Researcher in I/O Psychology

University of Bern

Biography

Francisco Wilhelm is a doctoral researcher in the Department for Work and Organizational Psychology at the University of Bern, Switzerland. His research interests include career development and career counseling, with a focus on applying theories of motivation and self-regulation. Besides this, he develops packages for the statistical software R.

Interests

  • Psychology of work and careers
  • Future of work
  • R and Data Science

Education

  • MSc in Psychology, 2018

    Philipps-University Marburg

  • BSc in Psychology, 2016

    Philipps-University Marburg

Recent Posts

Beautiful Tables for Exploratory Factor Analysis in R

The psych package for R provides great utilities for exploratory factor analysis (EFA). However, the way psych displays the results does not take advantage of visual cues to make grasping the factor solutions easier, nor is it straightforward to display the results in a way that can be shared easily with others.

How to compute multi-level reliability indices in R and Mplus

Reliability estimation is one of the core tasks when working with psychological scales. However, relability estimation with a multi-level data structure has only recently become a topic and its hard to find good materials for this.

A workflow for automating scale scoring in R

This post contains a workflow that vastly speeds up the process of scale scoring and computing psychometrics such as Cronbach’s alpha.

Recent Publications

Career Self-Management as a Key Factor for Career Wellbeing

Career self-management (CSM) is an important factor for achieving career wellbeing and is becoming increasingly crucial in career …

careless (R Package)

An R package for checking careless and insufficient effort responding.

Learned Predictiveness and Outcome Predictability Effects Are Not Simply Two Sides of the Same Coin

The Learned Predictiveness effect refers to the observation that learning about the relationship between a cue and an outcome is …

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