Published: 2020-03-30

Articles

The Promise and Pitfalls of Self-report

Development, research design and analysis issues, and multiple methods

Luke K. Fryer, Daniel L. Dinsmore

1-9

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The How of Survey Self-report: VAS-Likert-Slide-Swipe... Same difference?

Luke K. Fryer, Kaori Nakao

10-25

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It is all in the surv-eye: can eye tracking data shed light on the internal consistency in self-report questionnaires on cognitive processing strategies?

Margot Chauliac, Leen Catrysse, David Gijbels, Vincent Donche

26 - 39

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Opening the black box of students’ text-learning processes: A process mining perspective

Amélie Rogiers, Emmelien Merchie, Hilde Van Keer

40-62

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Disentangling objective characteristics of learning situations from subjective perceptions thereof, using an experience sampling method design

Julia Moeller, Jaana Viljaranta, Bärbel Kracke, Julia Dietrich

63 - 84

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Variability in Certainty of Self-Reported Interest: Implications for Theory and Research

Implications for Theory and Research

Amanda Durik, Jade Jenkins

85 - 103

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Insufficient Effort Responding in Surveys Assessing Self-Regulated Learning: Nuisance or Fatal Flaw?

Ryan Iaconelli, Christopher A. Wolters

104 - 125

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Experience and Meaning in Small-Group Contexts

Fusing Observational and Self-Report Data to Capture Self and Other Dynamics

Christine Calderon Vriesema, Mary McCaslin

126 - 139

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Tracking Patterns in Self-Regulated Learning Using Students’ Self-Reports and Online Trace Data

Nicolette van Halem, Chris van Klaveren, Hendrik Drachsler, Marcel Schmitz, Ilja Cornelisz

140 - 163

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A Proposed Remedy for Grievances about Self-Report Methodologies

Phil Winne

164 - 173

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Measurement and the Study of Motivation and Strategy Use: Determining If and When Self-report Measures are Appropriate

Peggy Van Meter

174 - 184

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Self-Report is Indispensable to Assess Students’ Learning

Reinhard Pekrun

185 - 193

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