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Robert Long
Robert Long
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Lafayote
Lafayote
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I conducted an experiment that investigated preferences for two-digit numbers. Each digit was randomly drawn from a list of digits between 1 and 9, with one digit presented at a leftish position and one at a rightish position on the screen. The resulting two-digit number was either congruent to a previously learned association or not. Each participants received 50 trials (i.e., 50 2-digit presentations) and should indicate how much they like the respective digit arrangement for each trial on scale from 0 to 10.

I found a main effect of congruency. However, I am wondering whether preferences could be alternatively explained by preferences for higher compared to lower numbers. Thus, I would like to consider the tenner of the two-digit number (i.e., the digit appearing at the leftish) position in my analyses. I guess that mixed models would be the analysis of choice; however, as I am completely new to this, I am struggling to find the right model.

Currently, my model looks like this:

preference ~ congruency*tenner + (1|subject)

Yet, I am almost convinced that this is not the most adequate solution and would hence be grateful for any suggestions.

*** EDIT - On the variables:

  • congruency is nominal and binary (congruent vs. incongruent)
  • tenner is interval-scaled (possible values: 1, 2, 3, 4, 5, 6, 7, 8, 9)
  • preference is interval-scaled (possible values: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)

I conducted an experiment that investigated preferences for two-digit numbers. Each digit was randomly drawn from a list of digits between 1 and 9, with one digit presented at a leftish position and one at a rightish position on the screen. The resulting two-digit number was either congruent to a previously learned association or not. Each participants received 50 trials (i.e., 50 2-digit presentations) and should indicate how much they like the respective digit arrangement for each trial.

I found a main effect of congruency. However, I am wondering whether preferences could be alternatively explained by preferences for higher compared to lower numbers. Thus, I would like to consider the tenner of the two-digit number (i.e., the digit appearing at the leftish) position in my analyses. I guess that mixed models would be the analysis of choice; however, as I am completely new to this, I am struggling to find the right model.

Currently, my model looks like this:

preference ~ congruency*tenner + (1|subject)

Yet, I am almost convinced that this is not the most adequate solution and would hence be grateful for any suggestions.

I conducted an experiment that investigated preferences for two-digit numbers. Each digit was randomly drawn from a list of digits between 1 and 9, with one digit presented at a leftish position and one at a rightish position on the screen. The resulting two-digit number was either congruent to a previously learned association or not. Each participants received 50 trials (i.e., 50 2-digit presentations) and should indicate how much they like the respective digit arrangement for each trial on scale from 0 to 10.

I found a main effect of congruency. However, I am wondering whether preferences could be alternatively explained by preferences for higher compared to lower numbers. Thus, I would like to consider the tenner of the two-digit number (i.e., the digit appearing at the leftish) position in my analyses. I guess that mixed models would be the analysis of choice; however, as I am completely new to this, I am struggling to find the right model.

Currently, my model looks like this:

preference ~ congruency*tenner + (1|subject)

Yet, I am almost convinced that this is not the most adequate solution and would hence be grateful for any suggestions.

*** EDIT - On the variables:

  • congruency is nominal and binary (congruent vs. incongruent)
  • tenner is interval-scaled (possible values: 1, 2, 3, 4, 5, 6, 7, 8, 9)
  • preference is interval-scaled (possible values: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
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Lafayote
Lafayote
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Mixed model for trial-based analysis

I conducted an experiment that investigated preferences for two-digit numbers. Each digit was randomly drawn from a list of digits between 1 and 9, with one digit presented at a leftish position and one at a rightish position on the screen. The resulting two-digit number was either congruent to a previously learned association or not. Each participants received 50 trials (i.e., 50 2-digit presentations) and should indicate how much they like the respective digit arrangement for each trial.

I found a main effect of congruency. However, I am wondering whether preferences could be alternatively explained by preferences for higher compared to lower numbers. Thus, I would like to consider the tenner of the two-digit number (i.e., the digit appearing at the leftish) position in my analyses. I guess that mixed models would be the analysis of choice; however, as I am completely new to this, I am struggling to find the right model.

Currently, my model looks like this:

preference ~ congruency*tenner + (1|subject)

Yet, I am almost convinced that this is not the most adequate solution and would hence be grateful for any suggestions.