APP 1012 Chapter Notes - Chapter 2: Demand Characteristics
7 Jun 2018
School
Department
Course
Professor
Research Enterprise
Theoretical Framework: systematic organising and explaining observations. Hypothesis that flows
from the theory or from an important research question.
Standardise Procedure: Procedure that is the same for all participants except where a variation is
necessary to test a hypothesis.
Generalisability: A sample is representative of the population. A procedure that is sensible and
relevant to circumstances outside the laboratory.
Object Measurement: Reliability (procedures a consistent result) and validity ( assesses dimensions
they measure)
Comparing Research Methods
Descriptive- Concerned with describing behaviour.
Purpose- To observe and record behaviour (Survey)
Correlation- Concerned with predicting behaviours
Purpose- Detect naturally occurring relationships, to assess how one variable predicts another
(compute statistical association)
Experimental- Establishing causes of behaviour
Purpose- To explore cause and effect (manipulate one factor)
Overview of Experimental Research Design
STEP ONE- FRAMING A HYPOTHESIS
Predicting the relationships among two or some variables
STEP TWO- OPERATIONALISING VARIABLES
Converting abstract concepts into testable forms
STEP THREE- DEVELOPING A STANDARDISED PROCEDURE
Setting up experimental and control conditions, attending to demand characteristics, attending to
research bias.
STEP FOUR- SELECTING AND ASSIGNING PARTICIPANTS
Randomly assigning participants to different conditions
STEP FIVE- APPLYING STATISTICAL TECHNIQUES
Describe data and determine likelihood that differs between a conditions reflect causality and
chance
STEP SIX- DRAWING CONCLUSIONS
Evaluating whether data supports hypothesis, suggest future studies to address limitations and new
questions raises
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Document Summary
Hypothesis that flows from the theory or from an important research question. Standardise procedure: procedure that is the same for all participants except where a variation is necessary to test a hypothesis. Generalisability: a sample is representative of the population. A procedure that is sensible and relevant to circumstances outside the laboratory. Object measurement: reliability (procedures a consistent result) and validity ( assesses dimensions they measure) Purpose- detect naturally occurring relationships, to assess how one variable predicts another (compute statistical association) Purpose- to explore cause and effect (manipulate one factor) Predicting the relationships among two or some variables. Setting up experimental and control conditions, attending to demand characteristics, attending to research bias. Describe data and determine likelihood that differs between a conditions reflect causality and chance.
