Questionnaires

State-Trait Anxiety Inventory (STAI-Y)

import neuropsydia as n  # Load neuropsydia


questions_dictionary = {

    "Item": {
        1: "I feel calm.",
        2: "I feel secure.",
        3: "I am tense.",
        4: "I feel strained.",
        5: "We're not allowed to reveal all the questions :("  # As it is the last dict item, no comma after that.
    },
    "Reverse": {
        1: True,
        2: True,
        3: False,
        4: False,
        5: False
    }
}

n.start()  # Initialize neuropsydia

participant_id = n.ask("Participant ID:", order=1)  # Get participant id
participant_gender = n.ask("Gender:", order=2)  # Get participant's gender
participant_age = n.ask("Age:", order=3)  # get participant's age

df = n.questionnaire(questions_dictionary,  # The questions
                participant_id=participant_id,
                analog=False,  # Lickert-like
                edges=[1, 4],  # Values underneath
                labels=["Almost never", "Sometimes", "Often", "Almost always"],
                style="blue",  # The cursor's color
                instructions_text="A number of statements which people have used to describe themselves are given below. \nSelect the number that indicate how you feel right now, that is, at this moment. \nThere are no right or wrong answers. Do not spend too much time on any one statement but give the answer which seems to describe your present feelings best.")  # Add instructions at the beginning


# Scoring
score = df["Answer"].sum()

# Cutoff based on Crawford et al. (2011). This just for illustration purposes, adapt it following your activity.
if score > 56:
    interpretation = "Possible Anxiety"
else:
    interpretation = "No anxiety"

# Add info and save
df["Participant_ID"] = participant_id
df["Participant_Gender"] = participant_gender
df["Participant_Age"] = participant_age
df["Score"] = score
df["Interpretation"] = interpretation
df.to_csv("STAI_" + participant_id + ".csv")

n.close()  # Close neuropsydia

Hint

Try to run this questionnaire!

• Can you add all missing questions from a legal version?
• Can you computerize the trait version?