Author(s) Christina Matschke (Leibniz-Institut für Wissensmedien Tübingen) - c.matschke@iwm-tuebingen.de Kathrin Nieder-Steinheuer (Leibniz-Institut für Wissensmedien Tübingen) - k.nieder-steinheuer@iwm-tuebingen.de Mareike Kehrer (Leibniz-Institut für Wissensmedien Tübingen) - m.kehrer@iwm-tuebingen.de
Pre-registered on 2023/03/10 01:09 (PT)
1) Have any data been collected for this study already? No, no data have been collected for this study yet.
2) What's the main question being asked or hypothesis being tested in this study? Hypothesis and research question:
1) Abstract descriptions lead to higher psychological distance (temporal, special, social and hypothetical) than concrete descriptions.
2) Explorative research question: Does the level of abstractness have an impact on understanding of the text, the interest in the topic of the text, the ability to reflect upon the adaptability of the described teaching experience, utility expectations of the teaching experience, technological and technological-educational self-efficacy referring to the teaching experience, and intentions to adapt the described teaching experience?
3) Describe the key dependent variable(s) specifying how they will be measured. All dependent variables will be measured with items: Psychological distance (temporal, special, social, hypothetical), Understanding of the text, Reflexion about adaptivity, Interest in the topic, Utilization expectation, Technical self-efficacy, Technological-educational self-efficacy, and Behavioral intentions to apply the scenario. Besides the items, the interest in the topic of digital technology and hybrid learning spaces will be measured as follows: participants will be offered to be linked to a repositorium of hybrid learning spaces, to a toolbox of digital technology teaching material, or to close the window.
4) How many and which conditions will participants be assigned to? Condition 1: Abstractness of the text (concrete vs. abstract). Participants will be randomly allocated to one of the two conditions.
If the sample size allows it, there will be Condition 2: Topic of the text (video-exam vs. inversed conference). The first 110 participants will read the text about the video-exam. If the traffic on the questionnaire allows the collection of the second topic, the following participants will read the text about the inverted conference.
5) Specify exactly which analyses you will conduct to examine the main question/hypothesis. Hypothesis 1: 2 Manovas (one for each topic) with IV = Condition (abstract / concrete). DVs: Psychological distance (temporal, special, social, hypothetical).
The explorative reserach question will be tested with t-tests for each dependent variable.
6) Describe exactly how outliers will be defined and handled, and your precise rule(s) for excluding observations. Exclusion criteria:
• People with more than 20% incomplete data sets
• People who obviously did not answer the questionnaire seriously
• People who do not teach at present nor intend to teach in the future
• People who indicate that they did not understand the pattern (below 3)
• For behavioral intentions: people who do not have the opportunity to apply the pattern
7) How many observations will be collected or what will determine sample size? No need to justify decision, but be precise about exactly how the number will be determined. Power-Analyses revealed a minimum sample size of 104, if only one condition is tested, or of 144, if two conditions are tested with the MANOVA. As we collect the data for the second condition sequentially, the cell sizes should be similar. Data collection will therefore stop after 200 participants or a maximum of 6 weeks after the first advertisement. This allows similar cell cizes and the exclusion of participants who are not eligible (see exclusion criteria).
8) Anything else you would like to pre-register? (e.g., secondary analyses, variables collected for exploratory purposes, unusual analyses planned?) Nothing else to pre-register.
