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add descriptive statistics
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‎bitbots_misc/bitbots_education/scripts/study_evaluation.py‎

Lines changed: 54 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -38,6 +38,7 @@ def __init__(self, audio_condition1_data, audio_condition2_data, web_condition1_
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self.descriptive_data = pd.DataFrame({})
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self.evaluate_scores()
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self.make_descriptive_statistics()
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def evaluate_scores(self):
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#self.calculate_significance(pd.concat([self.web1_data['SUS Score'],self.audio2_data['SUS Score']]), pd.concat([self.audio1_data['SUS Score'],self.web2_data['SUS Score']]), is_within_subject=False)
@@ -47,6 +48,9 @@ def evaluate_scores(self):
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SUS_between_condition2_stat, SUS_between_condition2_p = self.calculate_significance(self.audio2_data['SUS Score'], self.web2_data['SUS Score'], is_within_subject=False)
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SUS_between_condition1_stat, SUS_between_condition1_p = self.calculate_significance(self.audio1_data['SUS Score'], self.web1_data['SUS Score'], is_within_subject=False)
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51+
Quiz_between_baseline_audio_stat, Quiz_between_baseline_audio_p = self.calculate_significance(self.audio1_data['Quiz Score'], self.quiz_data['Quiz Score'], is_within_subject=False)
52+
Quiz_between_baseline_web_stat, Quiz_between_baseline_web_p = self.calculate_significance(self.web1_data['Quiz Score'], self.quiz_data['Quiz Score'], is_within_subject=False)
53+
5054
Quiz_within_audio_stat, Quiz_within_audio_p = self.calculate_significance(self.audio2_data['Quiz Score'], self.audio1_data['Quiz Score'], is_within_subject=True)
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Quiz_within_web_stat, Quiz_within_web_p = self.calculate_significance(self.web2_data['Quiz Score'], self.web1_data['Quiz Score'], is_within_subject=True)
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Quiz_between_condition2_stat, Quiz_between_condition2_p = self.calculate_significance(self.audio2_data['Quiz Score'], self.web2_data['Quiz Score'], is_within_subject=False)
@@ -64,21 +68,67 @@ def evaluate_scores(self):
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self.significance_data = pd.DataFrame({
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"Test": ["SUS within audio", "SUS within web", "SUS between condition 2", "SUS between condition 1",
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"Quiz between baseline audio", "Quiz between baseline web",
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"Quiz within audio", "Quiz within web", "Quiz between condition 2", "Quiz between condition 1",
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"IOS robot within audio", "IOS robot within web", "IOS robot between condition 2", "IOS robot between condition 1",
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"IOS group within audio", "IOS group within web", "IOS group between condition 2", "IOS group between condition 1"],
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"Statistic": [SUS_within_audio_stat, SUS_within_web_stat, SUS_between_condition2_stat, SUS_between_condition1_stat,
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Quiz_between_baseline_audio_stat, Quiz_between_baseline_web_stat,
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Quiz_within_audio_stat, Quiz_within_web_stat, Quiz_between_condition2_stat, Quiz_between_condition1_stat,
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IOS_robot_within_audio_stat, IOS_robot_within_web_stat, IOS_robot_between_condition2_stat, IOS_robot_between_condition1_stat,
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IOS_group_within_audio_stat, IOS_group_within_web_stat, IOS_group_between_condition2_stat, IOS_group_between_condition1_stat],
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"p-value": [SUS_within_audio_p, SUS_within_web_p, SUS_between_condition2_p, SUS_between_condition1_p,
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Quiz_between_baseline_audio_p, Quiz_between_baseline_web_p,
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Quiz_within_audio_p, Quiz_within_web_p, Quiz_between_condition2_p, Quiz_between_condition1_p,
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IOS_robot_within_audio_p, IOS_robot_within_web_p, IOS_robot_between_condition2_p, IOS_robot_between_condition1_p,
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IOS_group_within_audio_p, IOS_group_within_web_p, IOS_group_between_condition2_p, IOS_group_between_condition1_p]
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})
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def make_descriptive_statistics(self,):
81-
print(self.audio1_data['IOS Robot Score'].describe())
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#describe Quiz Score
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quiz_describe = self.quiz_data['Quiz Score'].describe()
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quiz_audio1_describe = self.audio1_data['Quiz Score'].describe()
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quiz_audio2_describe = self.audio2_data['Quiz Score'].describe()
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quiz_web1_describe = self.web1_data['Quiz Score'].describe()
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quiz_web2_describe = self.web2_data['Quiz Score'].describe()
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#describe SUS Score
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sus_audio1_describe = self.audio1_data['SUS Score'].describe()
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sus_audio2_describe = self.audio2_data['SUS Score'].describe()
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sus_web1_describe = self.web1_data['SUS Score'].describe()
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sus_web2_describe = self.web2_data['SUS Score'].describe()
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#describe IOS Robot Score
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ios_robot_audio1_describe = self.audio1_data['IOS Robot Score'].describe()
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ios_robot_audio2_describe = self.audio2_data['IOS Robot Score'].describe()
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ios_robot_web1_describe = self.web1_data['IOS Robot Score'].describe()
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ios_robot_web2_describe = self.web2_data['IOS Robot Score'].describe()
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107+
#describe IOS Group Score
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ios_group_audio1_describe = self.audio1_data['IOS Group Score'].describe()
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ios_group_audio2_describe = self.audio2_data['IOS Group Score'].describe()
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ios_group_web1_describe = self.web1_data['IOS Group Score'].describe()
111+
ios_group_web2_describe = self.web2_data['IOS Group Score'].describe()
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113+
self.descriptive_data = pd.concat([quiz_describe.to_frame(name="Online Quiz"),
114+
quiz_audio1_describe.to_frame(name="Audio Condition 1 Quiz"),
115+
quiz_audio2_describe.to_frame(name="Audio Condition 2 Quiz"),
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quiz_web1_describe.to_frame(name="Web Condition 1 Quiz"),
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quiz_web2_describe.to_frame(name="Web Condition 2 Quiz"),
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sus_audio1_describe.to_frame(name="Audio Condition 1 SUS"),
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sus_audio2_describe.to_frame(name="Audio Condition 2 SUS"),
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sus_web1_describe.to_frame(name="Web Condition 1 SUS"),
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sus_web2_describe.to_frame(name="Web Condition 2 SUS"),
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ios_robot_audio1_describe.to_frame(name="Audio Condition 1 IOS Robot"),
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ios_robot_audio2_describe.to_frame(name="Audio Condition 2 IOS Robot"),
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ios_robot_web1_describe.to_frame(name="Web Condition 1 IOS Robot"),
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ios_robot_web2_describe.to_frame(name="Web Condition 2 IOS Robot"),
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ios_group_audio1_describe.to_frame(name="Audio Condition 1 IOS Group"),
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ios_group_audio2_describe.to_frame(name="Audio Condition 2 IOS Group"),
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ios_group_web1_describe.to_frame(name="Web Condition 1 IOS Group"),
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ios_group_web2_describe.to_frame(name="Web Condition 2 IOS Group"),
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self.descriptive_data],
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axis=1)
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83133
def make_quiz_histogram(self, data: pd.Series):
84134
# Compute min and max
@@ -103,11 +153,9 @@ def get_quiz_and_sus_data_and_ios(self, data, study):
103153
def calculate_significance(self, data1, data2, is_within_subject):
104154
if is_within_subject:
105155
stat, p_value = stats.wilcoxon(data1, data2, alternative="greater")
106-
print(f"Wilcoxon signed-rank test statistic: {stat}, p-value: {p_value}")
107156
return stat, p_value
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else:
109158
stat, p_value = stats.mannwhitneyu(data1, data2, alternative="greater")
110-
print(f"Mann-Whitney U test statistic: {stat}, p-value: {p_value}")
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return stat, p_value
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@@ -123,9 +171,10 @@ def calculate_significance(self, data1, data2, is_within_subject):
123171
# dir_list = os.listdir(path)
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eval = StudyEvaluation(audio_1_condition, audio_2_condition, web_1_condition, web_2_condition, data_raw) #dir_list
126-
print(eval.make_descriptive_statistics())
127-
print (eval.significance_data)
174+
print(eval.descriptive_data)
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176+
eval.significance_data.to_csv("significance_data.csv")
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eval.descriptive_data.to_csv("descriptive_data.csv")
129178
# print(eval.log_eval.button_dict, eval.log_eval.df)
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#eval.log_eval.df.sort_values(by=["VP"], inplace=True)

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