chapter 1 Flashcards
hypothesis
begins with “it is hypothesized that..”
then mentions the independent variable followed by its affects on the dependent variable compared to the control group.
- an idea or explanation for something that is based on known facts but has not yet been proven
independent variable
dependent variable
IV- the variable that is being manipulated (controlled, selected or changed) by the researcher.
DV- the variable that is being measured by the researcher.
controlled experiment
an experimental investigation of the relationship between one or more independent variables and a dependent variable, in which all other variables are controlled.
controlled experiment strengths and limitations
strengths:
-can identify a cause-and-effect relationship between an IV and DV.
-results may be generalised to the population of interest if the study has good validity.
-can be repeated to gather more data
limitations:
-require strictly controlled conditions, which may be difficult to maintain
-participant behaviour may be influenced by the artificial nature of the setting
-external validity may be low if conditions are too artificial.
extraneous variable
a variable other than the independent variable that may have an unwanted effect on the dependent variable and results of an investigation.
controlled variable
is held constant to ensure that the only influence on the dependent variable is the independent variable.
confounding variable
an unwanted variable that has affected the results of an investigation.
-population
-sample
population- the wider group of people that a study is investigating.
sample- the smaller group of people selected from the population who will be participants in the investigation. (should be representative of the population)
random sampling
selecting participants from the population in a way that means each member of the population has an equal chance of being selected to participate in the study.
random sampling strengths and limitations
strengths -
a large enough sample is likely to be representative of the population improving external validity.
limitations-
-small random samples may not be representative of the population, reducing external validity.
-it may be difficult, time-consuming, impossible or unethical to obtain names of all members in the population.
stratified sampling
first dividing the population into subgroups, and then randomly selecting participants from each subgroup in the proportions that they appear in the population.
stratified sampling strengths and limitations
strengths-
- a large enough stratified sample is likely to be representative of the population, improving external validity.
-important subgroups of a population are ensured fair representation.
limitations-
-it may be difficult to obtain all names from the population.
-it is more time-consuming than using a random sampling technique because of the need to form subgroups and any pretesting required.
random allocation
dividing a sample into groups in such a way that each participant has an equal chance of being placed into the experimental group or the control group.
between subjects design
is when participants are randomly allocated to either the control
or the experimental condition
between subjects design - strengths and limitations
strengths:
* A between subjects design is the most time-efficient design because both groups can be tested at the same time and no
pre-testing is required.
* It has a lower rate of participant withdrawal than a within subjects design because participants only complete one condition.
* There is better control of participant knowledge of the study and there is no effect of prior participation extraneous
variables influencing results compared with a within subjects design.
limitations:
* More participants are needed in a
between subjects design than a within subjects design.
* There is less control over the extraneous variable of participant variables between groups, which may influence results in an unwanted way, lowering validity.
Investigation aim
&
Investigation question
I.A- the purpose of a study
I.Q-the question that is to be solved by a study
experimental group
&
control group
experimental group: the group that is exposed to the independent variable and receives the experimental treatment.
Control group: the group that forms a baseline level to compare the experimental group with
Within subjects design
-an investigation design in which all participants in the sample are involved in both the experimental and control conditions
Within subjects design - STRENGTHS AND LIMITATIONS
strengths:
* In a within-subjects design, there is no extraneous variable of participant variables between groups, improving validity.
* Fewer participants are needed than in a between subjects design.
limitations:
* There is less control over participant knowledge of the study. The extraneous
variable of prior participation in the first
condition may influence their behaviour
while completing the second condition.
* It is more time consuming than a between
subjects design because both conditions cannot be tested at the same time.
* There is a higher rate of participant
withdrawal from the study than in a between subjects design because the DV has to be measured multiple times.
mixed design
an investigation design that combines elements of a between subjects design and a within subjects design
mixed design - strengths and limitations
strengths:
* Differences in participant variables between groups are controlled in the within subjects design element.
* Can test the effect of multiple independent variables on a dependent variable in one investigation.
* Testing multiple independent variables in
one investigation can be time and cost effective compared to completing two or more separate investigations.
limitations:
* There is a higher rate of participant withdrawal from the study than using a between subjects design alone, which can be detrimental to the internal validity.
* There is less control over participant knowledge of the study. Prior participation in the first condition may influence their behaviour while completing the second condition, than when using a between
subjects design alone.
* There is less control over differences in participant variables between groups in the between subjects element, which may influence results in an unwanted way, lowering validity.