Hypotheses & Sampling Flashcards
Hypotheses
- Is a precise, testable statement of what the researchers predict will be the outcome of the study
- Must always be operationalised; details should be given on how the variables will be manipulated and how they will be measured
Alternate Hypothesis
- States that there will be a relationship/correlation or a significant difference within variables and this is not due to chance
Null Hypothesis
- States that there is no relationship/correlation or significant difference between variables and any results are due to chance
- E.g. there will be no significant difference between the happiness scores, measured on a happiness index, of participants who exercise at least once a week and those who engage in no exercise at all
Two-tailed Hypothesis
- Doesn’t give a direction, simply says that the independent variable will affect the dependent variable
- E.g. there will be a significant difference between the happiness scores, measured on a happiness index, of participants who exercise at least once a week and those who engage in no exercise at all
One-tailed Hypothesis
- Provides a direction as it predicts the nature of the effect of the independent variable on the dependent variable
- E.g. participants who exercise at least once a week will show significantly higher levels of happiness, measured by a happiness index test than participants who do not engage in an any exercise at all
Sampling
- Sampling is a process of selecting a representative group from the population under study
Opportunity Sampling
Selecting people who are available at the time and meet the criteria
+ Quick and convenient
- Only a certain type of people may be available; not representative
Random Sampling
Everyone in the population has an equal chance of being selected
+ Gives an unbiased and representative sample
- Expensive and time consuming
- Selected people may not want to participate
Self Selected Sampling
Individuals volunteer by responding to an advert
+ Higher ethics as they have consented to participate
- Certain people may volunteer; not representative
- May show demand characteristics due to willingness to participate
Stratified Sampling
Population classified into categories, and a sample is selected with categories in proportion to those within the population
+ Representative sample; can be generalised to population
- Time-consuming and replacements are needed for dropouts
Snowball Sampling
One person selected and asked to find other similar participants
+ Representative of difficult-to-locate groups
- Time-consuming
Representative
- The sample represents all types of individuals from the target group
Generalisable
- Refers to the extent which we can apply the findings of our research to the target population