Study Guide Flashcards
evidence or observations grounded in human sensory experience: touch, sight, hearing, smell, and taste.
Empirical
the many forms of empirical evidence or information, carefully collected according to the rules or procedures of science.
Data
a characteristic or attribute of an individual or organization that can be measured or observed
Variable
How does each term: empirical, data, and variable relate to each other?
they are all used in quantitative and qualitative research methods in different ways.
List the five basic norms of the scientific community
- Universalism
- Organized Skepticism
- Disinterestedness
- Communalism
- Honesty
Why is Universalism an important part of the scientific community?
research is judged only on the basis of scientific merit regardless of who conducts the research or where.
Why is Organized Skepticism an important part of the scientific community?
scientists challenge, question, and subject each study to intense scrutiny but their criticism isn’t to attack the individual but ensure the methods used in research are carefully and closely examined.
Why is Disinterestedness an important part of the scientific community?
scientist are neutral, impartial, receptive, and open to unexpected observations and new ideas that go against their positions and base it on high quality research.
Why is Communalism an important part of the scientific community?
scientific knowledge is shared with everyone because it’s a public act that is universal to everyone and available to use
Why is Honesty an important part of the scientific community?
scientist demand honesty in all research as dishonesty or cheating is taboo in scientific research.
has limited evidence but assume that it applies to many other situations
- Overgeneralization
take special notice of certain people or events and generalize from them
- Selective Observation
believe that we no longer need to listen, seek information, or raise questions because we already have an answer
- Premature Closure
overgeneralized trust in highly prestigious source such as, positive representation to sources or people we trust
- Halo Effect
inability to distinguish personal beliefs from what others believe, as there’s an overestimation
- False Consensus
belief we know much more than we actually do but aren’t as smart or well-informed as we think we are.
- Illusion of Explanatory Depth
experimental procedures, treatments, or experiences of participants that **threaten the researcher’s ability **to draw correct inferences from the data about the population in an experiment.
Internal Validity Threats
Examples of Internal Validity Threats
regression, election, and mortality
experimenters draw incorrect inferences from sample data to other people, settings, past or future situations
External Validity Threats
Examples of External Validity Threats
Interaction of selection and treatment
Interaction of setting and treatment
Interaction of history and treatment
experimenters draw inaccurate inferences from data because inadequate statistical power or violation of statistical assumptions
Statistical Conclusion Validity Threats
Used in the final outcome of a study and placed at the end of a research project or at the beginning as it provides a lens that shapes what is looked at and the questions asked
Use of Theory in Qualitative Research
Used deductively and placed at the beginning of a proposed study to test or verify a theory by examining hypotheses or questions containing variables or constructs to confirm or disconfirm the theory
Use of Theory in Quantitative Research
Used to both test theories and generate them as it involves a theoretical framework where both qualitative and quantitive data are collected
Use of Theory in Mixed Methods Research
tests the impact of a treatment or intervention on an outcome while controlling for all other factors that might influence it
Experimental Design (Alternative Quantitive Research Method Design)
provides plans for qualitative or numeric description of trends, opinions, and attitudes of a population by the sample of the population
Survey Design (Alternative Quantitative Research Method Design)
researcher explores a program, event, or process in detail of one or more individuals over a period of time
Case Study (Alternative Qualitative Research Method Design)
research studies an intact cultural group in a natural setting over a prolonged period of time by collecting observational and interview data
Ethnography (Alternative Qualitative Research Method Design)
the lives of individuals are studied and the stories provided by the group or individual are retold or restated by the researcher into narrative chronology
Narrative Research (Alternative Qualitative Research Method Design)
human experiences about a phenomenon described by participants in the study
Phenomenological Research (Alternative Qualitative Research Method Design)
Researcher derives a general, abstract theory of a process, action, or interaction grounded in views of participants in a study
Grounded Theory (Alternative Qualitative Research Method Design)
Quantitive and qualitative data is collected, analyzed separately, then the results are compared to see if the findings confirm or disconfirm each other
Congruent Mixed Methods Design (Alternative Mixed Methods Design)
two-phase project in which the researcher collects qualitative data in the first phase, analyzes the results, then uses a qualitative phase to help explain the quantitative results
Explanatory Sequential (Alternative Mixed Methods Design)
three-phase project which the researcher first collects qualitative data, analyzes it, then designs a quantitative feature based on qualitative results and tests the quantitative features
Exploratory Sequential (Alternative Mixed Methods Design)
data collection stops because fresh data no longer sparks new insight or reveals new properties
Saturation
well-test explanation that unifies a broad range of observations that can be utilized in quantitative, qualitative, and mixed methods research
Theory
a prediction about a specific event or relationship between variables
Hypothesis
variables manipulated in an experiment
Independent Variable
the outcomes or results of the independent variables
Dependent Variable
variables used to predict the outcome of interest and can’t be manipulated
Predictor Variable
variables considered outcomes or results of predictor variables
Outcome Variable