Psychology 312/347 Foundations, Experiments and Statistics
A Chinese PDF study pack for Psychology 312/347, linking theories, research design, variables, reliability, validity and statistical interpretation for exam review.
Start with the research question
This pack links psychology foundations, research methods, experimental design and statistics. Begin with the question and hypothesis, identify independent, dependent and control variables, then choose a design and analysis method whose assumptions fit the data.
Distinguish result from interpretation
Record measurement scale, independence, distribution, sample size and comparison target before using a statistical method. Report direction, size and uncertainty, and separate correlation from causation, statistical significance from practical meaning and a sample result from a population claim.
Review with a four-part card
Keep research question and hypothesis, design and variables, method and conditions, result and limitation on one card. This structure makes concept, design, calculation and interpretation errors easier to separate.
File scope
The indexed file is a 2.85 MB Chinese PDF study pack for Psychology 312/347 foundations, research design and statistics. Content review date: 2026-08-23.
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Psychology 312/347 research and statistics guide
Move from research question to variable, design, method and interpretation, then state what the evidence supports and where it stops.
Before you start
- Use a PDF reader, statistics notebook and calculation paper.
- Know variable types, means, variance, correlation, experiments and sampling.
- Prepare the active target-school syllabus and past-paper range.
Installation steps
- 01
Build a concept map
Group general, developmental, social and experimental psychology with methods and statistics, then link the core concepts.
- 02
Write the design card
State research question, hypothesis, independent variable, dependent variable, controls and sample before choosing a design.
- 03
Check method conditions
Record scale, independence, distribution, sample size and comparison target, then justify the selected method.
Quick start
- 01
Diagnose a study
Identify whether the researcher manipulates a variable and controls conditions, or only observes relationships among variables.
- 02
Solve and interpret
Keep formulas, units, degrees of freedom and assumptions visible, then explain direction, size and uncertainty.
- 03
Add limitations
Separate sample, measurement and external-validity limits from the result and state the supported scope.
Usage tips
- Match statistics to the question, variables and design rather than to a familiar output.
- Keep correlation, causation, statistical significance and practical meaning distinct.
- Filter content against the target school, active syllabus and past papers.
Troubleshooting and uninstall
How can experiments and correlational studies be distinguished?
Check whether the researcher manipulates the independent variable and controls conditions; observation of relationships alone supports association, not a direct causal claim.
How can method selection become clearer?
Write the question, variable types and design first, compare the method assumptions and verify the choice with a small example.
Frequently asked questions
What should be identified before choosing a design?
State the research question, hypothesis, independent variable, dependent variable, controls and sample.
Does a significant correlation establish causation?
No. Confounding variables and reverse causation remain possible; causal claims need appropriate manipulation and control.
Which conditions matter in statistics review?
Check scale, independence, distribution, sample size, comparison target and the assumptions of the chosen method.
Are Psychology 312 and 347 scopes identical?
Not necessarily. Subject names and school requirements vary, so use the target-school syllabus, reference books and past papers.