1
From: "Human Potential & Development."
Split Justification: Development fundamentally involves both our inner landscape (**Internal World**) and our interaction with everything outside us (**External World**). (Ref: Subject-Object Distinction)..
2
From: "Internal World (The Self)"
Split Justification: The Internal World involves both mental processes (**Cognitive Sphere**) and physical experiences (**Somatic Sphere**). (Ref: Mind-Body Distinction)
3
From: "Cognitive Sphere"
Split Justification: Cognition operates via deliberate, logical steps (**Analytical Processing**) and faster, intuitive pattern-matching (**Intuitive/Associative Processing**). (Ref: Dual Process Theory)
4
From: "Analytical Processing"
Split Justification: Analytical thought engages distinct symbolic systems: abstract logic and mathematics (**Quantitative/Logical Reasoning**) versus structured language (**Linguistic/Verbal Reasoning**).
5
From: "Quantitative/Logical Reasoning"
Split Justification: Logical reasoning can be strictly formal following rules of inference (**Deductive Proof**) or drawing general conclusions from specific examples (**Inductive Reasoning Case Study**). (L5 Split)
6
From: "Inductive Reasoning Case Study"
Split Justification: Induction involves forming general rules (**Hypothesis Generation**) and testing their predictive power (**Hypothesis Testing**). (L6 Split)
7
From: "Hypothesis Generation"
Split Justification: Generating a hypothesis requires identifying a pattern (**Observing Correlations**) and formulating a testable explanation (**Stating a Falsifiable Claim**).
8
From: "Observing Correlations"
Split Justification: This dichotomy separates the process of identifying relationships based on numerical data and statistical analysis from the process of discerning patterns and connections within non-numerical, descriptive, or categorical information. Together, these two categories comprehensively cover the fundamental modes of observing correlations in any form of data or experience for hypothesis generation.
9
From: "Observing Quantitative Correlations"
Split Justification: This split categorizes the observation of quantitative correlations based on the number of variables involved in the relationship. A quantitative correlation fundamentally involves either two variables (bivariate) or more than two variables (multivariate), making these categories mutually exclusive and jointly exhaustive for any observed quantitative relationship.
10
From: "Observing Multivariate Quantitative Correlations"
Split Justification: This dichotomy distinguishes between correlations immediately apparent from raw data or simple direct calculations (e.g., a correlation matrix, direct scatterplot analysis) and those that are inferred or revealed through more complex statistical modeling of underlying, unobserved (latent) variables or mediating relationships.
11
From: "Observing Directly Manifested Multivariate Quantitative Correlations"
Split Justification: This dichotomy differentiates the observation of directly manifested multivariate quantitative correlations based on whether the focus is on the relationships between individual pairs of variables within the multivariate dataset, or on the composite, interwoven patterns that emerge from the interaction of multiple variables simultaneously.
12
From: "Observing Direct Pairwise Quantitative Relationships"
Split Justification: The parent node describes observing immediate relationships between two quantities. These relationships can fundamentally be categorized based on whether one is observing the comparative state or magnitude of the two quantities at a given point (Comparisons), or observing how changes in one quantity are associated with changes in the other across multiple instances or over time (Covariation). This dichotomy is mutually exclusive and comprehensively covers the direct pairwise quantitative relationships.
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Topic: "Observing Direct Pairwise Quantitative Covariation" (W6415)