Unit 1; Research Methods; Data Recording & Analysis
- Created by: Former Member
- Created on: 22-02-17 10:22
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- Data Recording, Analysis
- Raw Data
- Collected in tables documenting frequency of behaviour
- Can be shown in standard form, decimal form, significant figures
- Data collected in a sample before it's analysed
- Descriptive Statistics
- Measure of Central Tendency
- Mode: most common factor
- Mean: sum of factors dividing by amount of factors
- Median: middle factor of a numerical sequence
- Measures of Dispersion
- Range: largest minus smallest
- Standard Deviation: square root of variance
- Variance: mean per condition; each score - mean = D; square D; mean of D^2
- Present in tables/ line or scatter graph/ pie or bar charts/ histogram
- Measure of Central Tendency
- Levels of Data
- Nominal: numerical data in a tally
- Ordinal: can ranked but with varying, unprecise intervals
- Interval: can be ranked with equal intervals
- Types of Data
- Quantitative: numerical data
- Pro: easy to analyse
- Con: doesn't specify why
- Qualitative: literal data
- Pro: detailed
- Con: hard to analyse
- Primary: researcher collects directly from participants
- Secondary: gathered by someone other than researcher
- Quantitative: numerical data
- Inferential Stats
- Normal Distribution mean,median & mode in same place; 98% within 2 standard deviations
- Positive skew: lower mode
- negative skew : higher mode
- Probability: P0.05 isn't significant
- P = probability results are from luck
- Parametric Tests
- interval or ratio data with similar variances
- all assume normal distribution
- e.g. T-tests & Pearson's Product
- nonparametric tests
- can use skewed data
- Errors
- Type 1: false positive, rejected null hypothesis
- Type 2: false negative, accept null hypothesis
- Normal Distribution mean,median & mode in same place; 98% within 2 standard deviations
- Raw Data
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