<commit_before># Pilot Study 1

Using per-participant questionnaire (See \ref{questionnaire1}), I captured video
& audio data of participants while the completed the task of extending a mario
game to make mario fly

## Hypotheses

* H1. ...
* H2. ...

### Method

Using Thematic analysis [@Braun2006Thematic] to code the data...

## Results
<commit_msg>Flesh out the first pilot method and intro more<commit_after># Pilot Study 1

Using a per-participant questionnaire (See \ref{questionnaire1}), I captured video
& audio data of 2 participants while they completed the task of extending a
mario game to make mario fly. This initial pilot study was done to get a feel of
what behaviours may be worth investigating further while a user completes a
programming task.  I may then refine the methodology to enable said behaviours
to be isolated more effectively, varying some dependent variable to see if it
has any effect. I have one hypothesis based on my understanding of thrashing
from the literature review, [@Lopez2012a].

## Hypotheses

* **H1.** Novice users (*defined as*: those that list themselves as being new to
  functional programming in the pre-questionnaire (See \ref{questionnaire1}))
  will press compile at least once every 2 minutes during the programming task.
* **H2.** Novice users will not pause (*defined as:* no mouse movement, no
  typing) for more than 2 minutes during the programming task.

### Method

1. Consent form is signed.
2. Pre-questionnaire is given out (See \ref{questionnaire})
3. User is informed that they may ask for help or a prompt, and that they will
   be interrupted if they pause, to ask why they paused. They are also informed
   that they can end at any time, and the goal is to make mario fly.
4. User is shown the result of completed task (mario flying).
4. Programming task is begun.
5. User completes or ends the task.
6. Post-questionnaire is given out (See \ref{questionnaire1})
7. De-breifing.
8. Study ends.

Using Thematic analysis [@Braun2006Thematic] to code the captured audio and
video data, I will transcribe the programming activity. Users will be allowed to
ask for a prompt or ask me questions while I observe.

## Results

* **H1.** This happened
* **H2.** This happened

{'fraction_non_alphanumeric': 0.06565430995980348, 'fraction_numerical': 0.0160786065207682, 'mean_word_length': 4.149425287356322, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '2748547', 'n_tokens_mistral': 615, 'n_tokens_neox': 578, 'n_words': 340}