Quiz 5
_____________ is the extent to which a study can inform us about persons, places, or time periods that were not directly studied. - Bias - Sample size - Homogeneity - Generalizability
- Generalizability
Halfway through the semester, after students have received grades on some of the course assignments, a professor asks her students what grade they think they will earn for the overall course grade. Many of the students over-estimate the grade they actually earn based on the criteria shown on the course syllabus. The students' anticipated final course grades show: - Good concurrent validity - Poor inter-rater reliability - Poor predictive validity - Good inter-item reliability
- Poor predictive validity
The _______ is the entire set of individuals or other entities to which study findings are to be generalized. - Sampling frame - Sample - Element - Population
- Population
What type of sampling method allows the researcher to know in advance the likelihood of selecting each element? - Probability sampling - Non-probability sampling - Biased sampling
- Probability sampling
A researcher conducts a survey of students from one large section of Introduction to Psychology at State University. The researcher then attempts to generalize these findings to all Intro to Psychology students at that university. In this example, the type of generalization is: - Cross-population - Sample - Simple random - Element
- Sample
A student uses data from the 2018 American Community Survey for his project. Those data are a type of: - Primary data - Secondary data - Invalid data - Constant data
- Secondary data
Match each term to its definition. Snowball sampling
A procedure that relies on getting information from respondents to find other respondents.
Match each term to its definition. Availability sampling
A procedure that uses accidental or convenience techniques to select elemets for a study.
Match each term to its definition. Simple random sampling
Elements from a population are selected for a sample by use of a random number task.
Match each term to its definition. Stratified random sampling
Subgroups within the population are identified as sharing some characteristic, and elements are randomly selected from within that population.