Ch. 3: RESEARCH METHODS AND STUDY DESIGN Flashcards
Independent Variable
The variable manipuulated by the research team
Dependent variable
The variable that is measured
Reproducibility in experiments
Good experimental design requires experiments that can be reproduced by other researchers
Operational Definition
A specification of precisely what researchers mean by each variable
Quantitative
Numerical
Qualitative
Descriptive
Experimental group vs Control Group
Experimental group: the group of participants that receives treatment
Control Group: The group that doesnt receive treatment, which acts as a point of reference and comparison
Extraneous (Confounding) variables
Variables other than the treatment that could potentially explain an experimental result
Placebo Effect
The fact that just believing that treatment is being administered can lead to a measurable result
Can lead to erroneous results
Double blind study
Neither the person administering treatment nor the participants truly know if they are assigned to the treatment or control groups
Sampling bias
If it is not equally likely for all members of a population to be sampled
Selection Bias
Purposefully selecting which studies to evaluate in a meta analysis to look for trends in the data
Meta analysis
Big picture analysis of many studies
Attrition
Participants dropping out of the study
Randomized block technique
In this technique, researchers evaluate where participants fall along the variables they wish to equalize across the experimental and control groups
Then they randomly assign individuals from these groups so that the treatment and control groups are similar along the variables of interest
Ex:
List 1: Tall. List 2: Short
What 3 things must a reliable instrument do/have in an experiment?
- They produce stable and consistent results
- Construct Validity: measure what theyre supposed to
- Replicability: repeated measurements lead to similar results
Construct Validity
Measures what its supposed to
Psychometrics
The study of how to measure psychological variables through testing
Response bias
The tendency for respondents to not have perfect insight into their state and provide inaccurate responses
Between-subjects design
The comparisons in the experiment are made between subjects from one group to another
Within subjects design
Comparing the same group of an experiment at different time points
Mixed methods research
Any combination of different research techniques such as within- subjects and between subjects, or qualitative and quantitative
Type 2 Error
False Negative
Researchers accept the null hypothesis, when in fact it is false