Logistic regression
| Panel A: Contrast analysis on logistic regression | df | Χ2 | p-value |
|---|---|---|---|
| Graph format (aggregated vs disaggregated) | 1 | 9.95 | 0.001 |
| Visual cues (absent vs present) | 1 | 1.99 | 0.079 |
| Graph format × visual cues | 1 | 0.27 | 0.302 |
| Gender | 1.86 | 0.063 | |
| Age | −2.20 | 0.028 |
| Panel A: Contrast analysis on logistic regression | df | ||
|---|---|---|---|
| Graph format (aggregated vs disaggregated) | 1 | 9.95 | 0.001 |
| Visual cues (absent vs present) | 1 | 1.99 | 0.079 |
| Graph format × visual cues | 1 | 0.27 | 0.302 |
| Gender | 1.86 | 0.063 | |
| Age | −2.20 | 0.028 |
| Panel B: Simple analysis | Z | p-value |
|---|---|---|
| Simple effect of graph format when visual cues are absent | −2.00 | 0.023 |
| Simple effect of graph format when visual cues are present | −2.32 | 0.010 |
| Simple effect of visual cues when the graph format is aggregated | −1.44 | 0.075 |
| Simple effect of visual cues when the graph format is disaggregated | −0.88 | 0.190 |
| Panel B: Simple analysis | Z | |
|---|---|---|
| Simple effect of graph format when visual cues are absent | −2.00 | 0.023 |
| Simple effect of graph format when visual cues are present | −2.32 | 0.010 |
| Simple effect of visual cues when the graph format is aggregated | −1.44 | 0.075 |
| Simple effect of visual cues when the graph format is disaggregated | −0.88 | 0.190 |
Note(s): 1) The dependent variable is a dichotomous variable that equals to 1 if the perception of the trend line is upward, and 0 otherwise. 2) Graph format is equal to 0 for aggregated graph format and 1 for disaggregated graph format. 3) Visual cues is equal to 0 for the absence of visual cues and 1 for the presence of visual cues. 4) Reported significance is one-tailed for directional hypotheses
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