Summary:

Part I: Confirmatory Results

w/ Different Exclusion Criteria (5-response min., 2-response min., No min.)

## removed: no response rate exclusion criteria used ##

Proceeding with No minimum response inclusion criteria…

Part II: Exploratory and Confirmatory Model Fits

  • PE is a significant predictor of dense sampling Positive and Negative Affect (PA; NA)
  • NEW: Outcome (exam grade) is a significant predictor of NA, but not PA.

Dataset Affect predictor Estimate SE p-value
Exploratory Positive outcome -0.2799268 0.2746970 NA
Exploratory Positive PE 3.0213880 0.6386234 NA
Exploratory Negative outcome -0.7100594 0.4486658 NA
Exploratory Negative PE -1.7950201 0.8262051 NA
Confirmatory Positive outcome 0.2520818 0.1918402 0.2802103
Confirmatory Positive PE 3.3113675 0.4672644 0.0000403
Confirmatory Negative outcome -0.6691739 0.2741294 0.0393588
Confirmatory Negative PE -2.6138620 0.4674892 0.0000002

Part III: CIs for Model Parameters, and PE - Outcome contrasts

  • NEW: Outcome term is significantly different from zero in model predicting NA, but not PA.
  • PE - Outcome contrast is significant for PA and NA models
Dataset Affect Parameter Estimate SE X2 P Lower Upper
Exploratory Positive Outcome -0.2799268 0.2746970 1.038439 0.3081847 -0.8183229 0.2584694
Exploratory Positive PE 3.0213880 0.6386234 22.383264 0.0000022 1.7697092 4.2730668
Exploratory Positive PE - Outcome 3.3013148 0.7834249 17.757391 0.0000251 1.7658302 4.8367993
Exploratory Negative Outcome -0.7100594 0.4486658 2.504629 0.1135122 -1.5894281 0.1693094
Exploratory Negative PE -1.7950201 0.8262051 4.720228 0.0298098 -3.4143523 -0.1756879
Exploratory Negative PE - Outcome -1.0849608 1.1430269 0.900980 0.3425191 -3.3252523 1.1553308
Confirmatory Positive Outcome 0.2520818 0.1918402 1.726647 0.1888397 -0.1239182 0.6280817
Confirmatory Positive PE 3.3113675 0.4672644 50.221464 0.0000000 2.3955461 4.2271889
Confirmatory Positive PE - Outcome 3.0592857 0.5946911 26.464103 0.0000003 1.8937126 4.2248589
Confirmatory Negative Outcome -0.6691739 0.2741294 5.958908 0.0146431 -1.2064576 -0.1318901
Confirmatory Negative PE -2.6138620 0.4674892 31.262388 0.0000000 -3.5301240 -1.6976000
Confirmatory Negative PE - Outcome -1.9446881 0.6578883 8.737669 0.0031170 -3.2341256 -0.6552507

Part IV: Comparing ‘Outcome-Only’ and ‘PE + Outcome’ Models

  • inclusion of PE term significantly improves model fit (over outcome-only models)
Dataset Affect Model Df AIC BIC logLik deviance Chisq Chi Df Pr(>Chisq)
Exploratory Positive Outcome 12 9428.141 9489.411 -4702.071 9404.141 NA NA NA
Exploratory Positive Outcome + PE 22 9363.921 9476.249 -4659.961 9319.921 84.22011 10 0
Exploratory Negative Outcome 12 9957.264 10018.533 -4966.632 9933.264 NA NA NA
Exploratory Negative Outcome + PE 22 9909.290 10021.617 -4932.645 9865.290 67.97405 10 0
Confirmatory Positive Outcome 12 22416.483 22487.922 -11196.241 22392.483 NA NA NA
Confirmatory Positive Outcome + PE 22 22328.043 22459.016 -11142.022 22284.043 108.43939 10 0
Confirmatory Negative Outcome 12 22917.636 22989.076 -11446.818 22893.636 NA NA NA
Confirmatory Negative Outcome + PE 22 22800.914 22931.887 -11378.457 22756.914 136.72156 10 0

Part V: Interactive Model: modeling PA and NA together

Affect ~ Affect_valence:(outcome + PE) + (1 | cohort / id / exam_num)

## removed: in progress ##

Part VI: Model Fits for Sample Subject

  • The paneled plot below depicts observed PA and NA (green points) for an exploratory subject, plus the following model fits
  • orange Affect ~ PE + Outcome
  • blue Affect ~ Outcome