Research Methods Flashcards
Name 3 features of the Scientific approach
1) Observation and description of a phenomenon
2) Formulation of a hypothesis to explain the phenomenon
3) Performance of experimental tests of the predictions
Reliability
Being able to repeat a study to check the credibility. Research has to be clearly written so conditions can be repeated
Objectivity
Observations are made without bias. Researchers aim to use standardised instructions to operationalise variables.
Falsification
Scientific statements are capable of being proven wrong through experimentation
Inductive phase of Theory construction
Observations yield information which is used to formulate theories
Deductive phases of theory construction
Predictions made from theories
In form of testable hypotheses that are tested and yield data that is analysed leading to theory adjustment
Paradigm shifts
Change in scientific assumptions from one set of widely accepted ideas to a new set.
Psychology as Pre-paradigmal
Psychology doesn’t operate under one paradigm; instead it’s pre - paradigmal as there are many approaches
Aim
A general study describing what the study intends to investigate
Operationalisation of variables
Making clear how variables are understood and how they will be measured
Experimental hypothesis
A statement used in an experiment to predict what will happen in an investigation. Both the IV and DV are operationalised
Alternative hypothesis
A statement used in a non-experimental method to predict what will happen in an investigation
Directional hypothesis
A hypothesis that gives a very specific outcome of an experiment
Non directional hypothesis
A hypothesis that does not state a specific outcome
One tailed test
Statistical test used with a directional hypothesis
Two tailed test
Statistical test used with a non directional hypothesis
Random Sampling
A sample which all members of the target population have an equal chance of being selected to participate in research.
Systematic sampling
A mathematical selection of participants when the population size is divided by the sample size to dictate which participants are selected for the sample
Stratified sampling
Method aims to ensure that the key characteristics of the population are represented in the same proportion in the sample
Opportunity sampling
A sample that consists of participants who were selected because of their availability
Volunteer sampling
A sample where participants self select
Generalisability
The extent to which the findings from a study can be taken and said to be true of those beyond the original sample
Whole population
Everyone in a population, regardless of who they are and if they fit the demands of the study
Target population
The group of people within the whole population who the researcher wants to find more about
Primary data
Data collected from first hand experience
Secondary data
Data collected from an already published source
Sampling frame
A list of people from the target population from which the researcher chooses the sample
Sample
The RPs who the researcher will use as part of their study
Qualitative data
Data that is not numerical
Quantitive data
Data that is expressed in a numerical form
Meta analysis
Combining findings of independent studies often with smaller samples to create a larger sample