Template#

Test Theory and Construction Report#

Author Information#

  • Name:

  • Student ID:

  • Course: Test Theory and Construction

  • Date:


๐Ÿ“‹ Task Assignment#

  • Assigned Task Number:

  • Brief Task Description:


๐Ÿ“ Project Summary#

In this report, we aim to [brief description of test construction goal, e.g., develop a reliable and valid scale to assess X].

This notebook contains the following sections:

  1. Data import and descriptive statistics

  2. Analysis and modeling according to the assigned task

  3. Results, interpretation, and final visualizations

  4. Optional exploratory analysis and resources

Relevant work has been performed and is documented step by step in this portfolio.


๐Ÿ“Š Data Import and Descriptive Statistics#

# Import necessary libraries
import rpy2
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

# Load your dataset
# df = pd.read_csv('your_data.csv')

# Display general info
# df.info()

# Basic descriptives
# df.describe(include='all')

๐Ÿงช Analysis - Task-Specific Section#

In this section, perform the analysis required for your specific assigned task. This might include reliability analysis, factor analysis, item response theory, etc.

# Example: Cronbach's Alpha, EFA, CFA, etc.
# Perform task-specific analyses here

๐Ÿ“ˆ Results and Final Visualizations#

Summarize your key findings here. Include final plots, tables, and interpretations.

# Final plots or summaries
# plt.figure(figsize=(10, 5))
# sns.histplot(...)
# plt.title('Final Visualization')
# plt.show()

Extra Resources / Exploratory Analysis (Optional)#

Use this section for any additional analysis or work that complements your main goal but is not required by the task.

# Optional: Further insights, extra visualizations, sanity checks