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 Testing"
Split Justification: Testing a hypothesis involves designing a fair test (**Designing a Simple Experiment**) and drawing conclusions from the outcome (**Interpreting Results**).
8
From: "Designing a Simple Experiment"
Split Justification: Designing a simple experiment fundamentally involves two distinct yet complementary aspects: first, establishing the core elements that will be manipulated, measured, or kept constant (variables and controls); and second, detailing the step-by-step execution plan, including methodology, data collection, and logistical considerations (experimental protocol).
9
From: "Development of Experimental Protocol"
Split Justification: This split divides the development of an experimental protocol into two fundamental aspects. "Definition of Experimental Design Parameters" focuses on the conceptual and structural elements of the experiment, such as identifying and defining variables, establishing control groups, implementing randomization or blinding, and determining sample selection criteria. "Specification of Operational Procedures" details the practical, step-by-step instructions for conducting the experiment, including materials and equipment lists, precise measurement techniques, data collection methods, safety protocols, and a timeline. These two components are distinct yet collectively form a complete experimental protocol.
10
From: "Specification of Operational Procedures"
Split Justification: This dichotomy separates the operational procedures that involve active intervention, control, or alteration of the experimental system or subjects from those procedures focused on systematically obtaining, measuring, and documenting the resulting observations or data.
11
From: "Procedures for Data Acquisition and Recording"
Split Justification: This split divides the parent concept into its two explicit and sequential functional components. "Data Acquisition" refers to the methods and steps involved in obtaining or gathering raw data from its source, while "Data Recording" refers to the methods and steps for documenting, storing, and preserving that acquired data for later use and analysis. These are distinct yet complementary sets of procedures that together comprehensively cover the entire process outlined by the parent node.
12
From: "Procedures for Data Recording"
Split Justification: This dichotomy distinguishes between data recording procedures primarily executed by human observation, transcription, or entry, versus those performed by electronic sensors, devices, or software systems without direct human intervention at the point of capture. This is a fundamental and exhaustive split in the methodologies for recording experimental data, directly influencing error sources, precision, and efficiency.
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Topic: "Procedures for Automated Data Recording" (W8111)