HOMEWORK

Year 10 Topic: Research Methods

FILTER: What do I need to know?

Variables, Hypotheses & Designs 

Variables

  • Independent variable
  • Dependent variable
  • Extraneous variables
Hypotheses
  • The ability to take the variables and write an accurate testable hypothesis.
Experimental Designs
  • Repeated measures (& counterbalancing)
  • Independent groups
  • Matched pairs
  • Strengths and weaknesses for each:
  • Order effects
  • Time-consuming/quick
  • Number of participants
Experiments vs Natural Studies vs Field Studies
  • The difference between each of these
  • ​A strength and a weakness for each

Standardisation, Sampling & Ethics 

Standardisation

  • Brief
  • Standardised procedures/instructions
  • Debrief
Sampling Methods
  • Random sampling
  • Systematic sampling
  • Opportunity sampling
  • Stratified sampling
  • Strengths and weaknesses for each: bias, representative, time-consuming/quick
Ethics
  • Informed consent
  • Deception
  • Protection from harm/stress
  • ​Privacy

Data & Graphs

Data Analysis
  • Qualitative and Quantitative data
  • Mean
  • Median
  • Mode
  • Range
  • Drawing conclusions from the average
  • Drawing conclusions from the range
  • Calculating percentages
Drawing Graphs
  • Draw accurate bar charts
  • Draw accurate line graphs
  • Draw accurate scattergraphs
  • Drawing conclusions from graphs

Research Method Choices 

Questionnaires

  • Open/closed questions
  • Evaluations
Interviews
  • Structured vs unstructured
  • Evaluations
Case Studies
  • Definition
  • Evaluations
Observations
  • Covert vs overt
  • Evaluations
  • Inter-observer reliability
Correlations
  • Definition
  • Evaluations

LEARN: Homework Tasks

Topics:
  • Variables
  • Hypothesis writing
  • Experimental designs x 3
  • Evaluation of experimental designs
  • Experiments vs natural studies
  • Standardisation
  • Sampling methods x 4
  • Evaluation of sampling methods
  • Ethics
  • Analysing data - mean, median, mode, range
  • Analysing data - calculating percentages
  • Analysing data - qualitative vs quantitative data
  • Drawing conclusions from averages and ranges
  • Questionnaires and evaluation
  • Interviews and evaluation
  • Case studies and evaluation
  • Observations, evaluation and inter-observer reliability
  • ​Correlations and evaluation 

TEST: Exam Questions