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Internal Validity
The ability to draw conclusions about casual relationships from the results of a study
Temporal precedence
Part of casual interference; the cause occurs before the effect
Covariation of cause and effect
Part of casual interference; observing that a change in one variable is accompanied by a change in a second variable
Eliminate plausible alternative explanations
Part of casual interference; based on the possibility that some confounding third variable is responsible for the observed relationship.
Field Experiment
Independent variable is manipulated in a natural setting
Participant variables
Characteristics of individuals, such as age, gender, ethnic groups, nationality, birth order, personality, or marital status. (cannot be manipulated)
Reliability
Refers to the consistency or stability of a measure
True score
Someone's real “true” value on a given variable.
Measurement error
Difference between a true score and a measured score
Pearson product-moment correlation coefficient
Pearson correlation coefficient can range from 0.00 to +1.00 and 0.00 to -1.00. (Closer to 0=not related, closer to +1 or -1=stronger relationship
Test-Retest reliability
Measuring the same individuals at two points in time.
Alternate forms Reliability
Administering two different forms of the same test to the same individuals at two points in time. (Alternate forms reliability)
Internal consistency reliability
Assessment of reliability using responses at only one point in time (Internal consistency reliability)
Split-half reliability
Correlation of the total score on one half of the test with the total score on the other half.
Cronbach’s alpha
Provides the average of all possible split-half reliability coefficients
Item-total correlations
Examine the correlation of each item score with the total score based on all items.
Interrater reliability
The extent to which raters agree in their observations
Construct validity
Refers to the adequacy of the operational definition of variables
Face validity
Measure appears to assess the intended variable accurately
Content validity
Based on comparing the content of the measure with the universe of content that defines the construct.
Predictive validity
Using a measure to predict some future behavior
Concurrent validity
Research that examines the relationship between the measure and a criterion behavior at the same time. (Concurrent)
Convergent validity
Which scores on the measure in question are related to scores on other measures of the same or similar constructs. (Convergent)
Discriminant validity
Measure is not related to variables with which is should not be related
Reactivity
Awareness of being measured changes an individuals behavior.
Nominal scale
Categories or groups simply differ from one another (No nominal variables)
Ordinal scales
Allow us to rank order the levels of the variable being studied.
Interval scale
Difference between the numbers on the scale is meaningful
Ratio Scales
Do have an absolute zero point that indicates the absence of the variables being measured.
Naturalistic Observation
researcher makes observations of individuals in their natural environment
Participant observation
researcher may be able to experience events in the same way as natural participants
Systematic observation
Careful observation of one or more specific behaviors in a particular setting
Reactivity
Possibility that the presence of the observer will affect peoples behaviors
Experience sampling method
Alert participants to complete a data collection procedure at that moment in time
Day reconstruction method
Asks participants to think about the previous day and write about distant episodes that occurred.
Psychobiography
Researcher applies psychological theory to explain the life of an individual
Archival Research
Using previously compiled information to answer research questions
Content analysis
Systematic analysis of existing documents
Response set
Tendency to respond to all questions from a particular perspective rather than to provide answers that are directly related to the questions
Social Desirability
Leads individuals to answer in the most socially acceptable way
Yea-saying
Tendency to agree constantly
Nah-saying
Tendency to disagree consistently
Closed-ended questions
A limited number of response alternatives are given
Open-ended
Respondents are free to answer in any way they likes
Rating Scales
People to provide “how much” judgements on any number of dimensions
Graphic rating scale
Requires a mark along a continuous 100-milimeter line that is anchored with descriptions at each end.
Semantic Differential scale
Respondents are asked to rate any concept using a 7-point scale
Response rate
Percentage of people who are asked to complete a survey who actually complete a survey
Interviewer bias
The fact that the interviewer is a unique human being interactive with another human being
Focus groups
Interview with a group of about 6-10 individuals brought together for a period of usually 2-3 hours
Panel Study
Same people are surveyed at two or more points in time
Sample
Participants from a population of interest
Population
All individuals of interest to the researcher
Probability samplling
Each member of the population has a specifiable probability of being chosen
Nonprobability sampling
The probability of any particular member of the population being chosen is unknown
Simple random sampling
Population is divided into subgroups; random sampling is used to select sample members from each subgroup
Cluster sampling
Researcher can identify ‘clusters’ of individuals and then sample from these clusters.
Purposive sampling
Non-probability sampling procedure in which the researcher makes judgement regarding an individual for the sample
Snowball Sampling
Nonprobability sampling procedure in which one or more current research participants recruit others to become part of the sample
Quota Sampling
Chooses a sample that reflects a numerical composition of various subgroups in the population