<p>If I understand your description correctly, you have one within-subject factor with two levels (certain/uncertain) and one between-subject factor (based on how you assign the different text snippets to different group, but I'm not sure I understand what exactly you are doing there). So, this would be a repeated-measures design with different groups (based on the assignment of different text snippets) which I would refer to as is a mixed design (<a href="https://www.discoveringstatistics.com/statistics-hell-p/porus-comparing-means/mixed-designs/" rel="nofollow noreferrer">https://www.discoveringstatistics.com/statistics-hell-p/porus-comparing-means/mixed-designs/</a>), and you could analyse it, e.g., with a mixed ANOVA (<a href="https://statistics.laerd.com/spss-tutorials/mixed-anova-using-spss-statistics.php" rel="nofollow noreferrer">https://statistics.laerd.com/spss-tutorials/mixed-anova-using-spss-statistics.php</a>). I think crossover-design refers to something similar.</p>

CC BY-SA 4.0
2020-10-03T16:25:12.673Z
2020-10-03T16:25:12.673Z
user46310
<p>The basis of my experiment are 4 neutral text snippets. For each text snippet, I create an uncertain and a certain version so that I have a total of 8 text snippets (2 versions for each text snippet, 1 certain and 1 uncertain version). The &quot;version&quot; of the text is the IV.</p>
<p>Now, the participants are randomly shown 4 text snippets at the same time (always 2 uncertain and 2 certain text snippets). The participants are asked to indicate if they perceive the text snippet as uncertain or not (DV).</p>
<p>On the one hand, I have a within-subject design because each participant sees uncertain and certain versions of text snippets. On the other hand, I have a between-subject design because a participant only sees either the certain or the uncertain version of a text snippet.</p>
<p>In my analysis, I will first examine the difference between the uncertain and certain versions in general (I sum up the results of the certain and the uncertain versions and compare the results). Then, I will examine the difference between the uncertain and certain versions of each text snippet.</p>
<p>My question is: What is the name of that setting? Is that setting a crossover-design?</p>

<experiment-design>
Which experiment design is this? Between and within combined
Jensxy
# Which experiment design is this? Between and within combined

(Asked by: username_0 on 2020-09-29)

The basis of my experiment are 4 neutral text snippets. For each text snippet, I create an uncertain and a certain version so that I have a total of 8 text snippets (2 versions for each text snippet, 1 certain and 1 uncertain version). The "version" of the text is the IV.

Now, the participants are randomly shown 4 text snippets at the same time (always 2 uncertain and 2 certain text snippets). The participants are asked to indicate if they perceive the text snippet as uncertain or not (DV).

On the one hand, I have a within-subject design because each participant sees uncertain and certain versions of text snippets. On the other hand, I have a between-subject design because a participant only sees either the certain or the uncertain version of a text snippet.

In my analysis, I will first examine the difference between the uncertain and certain versions in general (I sum up the results of the certain and the uncertain versions and compare the results). Then, I will examine the difference between the uncertain and certain versions of each text snippet.

My question is: What is the name of that setting? Is that setting a crossover-design?

**Tags:** experiment-design


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## 1 answers

### Answer by username_1 on 2020-10-03. Score: 3

If I understand your description correctly, you have one within-subject factor with two levels (certain/uncertain) and one between-subject factor (based on how you assign the different text snippets to different group, but I'm not sure I understand what exactly you are doing there). So, this would be a repeated-measures design with different groups (based on the assignment of different text snippets) which I would refer to as is a mixed design (<https://www.discoveringstatistics.com/statistics-hell-p/porus-comparing-means/mixed-designs/>), and you could analyse it, e.g., with a mixed ANOVA (<https://statistics.laerd.com/spss-tutorials/mixed-anova-using-spss-statistics.php>). I think crossover-design refers to something similar.


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