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What is the difference between open-ended questions and closed-ended questions. What are adv and dis of each |
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A closed-ended question provides answer choices to the person being asked while open-ended do not. Advs of closed- easy to code and analyse, allow for self selection into pre-determined categories, more likely to answer with respect to sensitive topics. Dis- may force to choose answer that do not match their position, may include inapropriate choices leading to choices of "others"
advs of open- allow respondents to more fully explain answer and create opportunity for researcher to find answer not anticipated. dis- time consuming and difficult to analyse, there may be too much diversity to creat a reasonable number of categories |
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provide responders with a list of resposes to choose from |
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the inverstigator's presense is hidden or undisclosed and his or her intentions disguised |
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the extent to which responses provide accurate and complete information |
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refers to the proportion of persons initially contacted who actually participate |
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created by the deposition and acumulation of materials |
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the portion of the written record that is not part of a regular, ongoing record-keepig enterprise |
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encourages respondents to coose a particular response because the question indicates that the researcher expects it |
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the respondent is asked to agree or disagree with a single substantive statement |
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tells us how many incidents of each category in a variable occured, and ussally includes percentages and cumulative percentages as well |
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the type of scale asking respondents to choose from a range of responses such as 1=strongly agree 2= agree.... |
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interval and ratio-level data can also be referred to as scale , parametric |
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done by taking outcomes of multiple measures of a concept to demonstrate the validity of the entire measurement scheme |
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better measure of central tendency |
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why is a literature reviw that focuses on concepts and ideas rather than individual articles or books ussually more effective? |
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focusing on ideas and concepts relay to the reader how previous work fit together and how the current work builds on previous works |
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what is the purpose of a literature review?
why should you include one in a researh paper? |
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to learn about what other people have discovered, identify important questions that have not been addressed fully, identify data, methods and research strategy that others have used to answer specific questions as well as narrowing or focusing a topic.
to have a body of related work on a topic and a systematic examination and interpretation for thepurpose of informining furthr a topic |
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often found at the beginning of a scholarly article and will usually include a description of the contents of the article, including the research question, the theory and hypotheses and data and methods used to test hypotheses and the result and conclusion |
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newspaper, magazine, TV news, blogs and yahoo |
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bookes and articles by political scientists and other academics or political practioners
search engine like JSTOR |
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a systematic examination and interpretation of the literature for the purpose of informing further work on a topic |
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how would you design an experimental research design for this topic |
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- control group
- randomly assign individuals to the group
- establish and measure a dependent variable both before and after stimulus is given
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why are experimental deisgn generally better than nonexperimental design for making causal inferences? |
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because the researcher is allowed to be in control, isolating causality. Experimental design also tend to have better internal validity. |
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How does random assignment of subjects to group control for extraneous factors |
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with random assignment to groups you can assume that extraneous factors will affect all groups equally and thus be cancelled out |
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what causes spurious relationships |
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a spurious relationship is caused by a third variable which gives a false impression of a worthy link between two variabbles. This misleading correlation is caused by a third factor that is linked to both |
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what are the important components to include in a research design |
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- theory being tested
- unit of analysis
- necessary, observable data
- data collection precision
- analytical procedure
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how can you distinguish between casual relationships and spurious relationships |
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causal relationship's goal is to find causality. IT has three characteristics; co-variation, time order, and elimination of alternative exploration.
In a spurious relationship the control variable has strong relationships with the independent variable and the dependent variable. Not causal at all. After holding a third variable constant the causal connection between x and y turns out to be coincidental |
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a group that receives or is exposed to an experimental treatment, test stimulus, or test factors |
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a representation of a system by a device in order to study the system's behavior over time |
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a simplified and abstract representation of reality that can be expressed verbally, mathematically, or in some other symbolic system, and that puports to show how variables, or parts of a system tie toether. It's external validity is ussually very low |
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is a cros-sectional design that introduces a time element |
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measurements of the independent and dependent variable are taken at approximately the same time, and the researcher dos not control or manipulate the indepenent variable, the assignment of subjects to treatment or control group, or the conditions under which the independent variable is experienced |
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more than one experimental or control group are created so that different levels of the experimental variables can be compared |
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classical randomized design |
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most basic experiment, involves two groups and two variables, on indepenent and one dependent |
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the initial measurement of variables in an experimental design |
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a plan that shows how a researcher intends to study an empirical question |
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What is the difference between an antecedent variable and an intervening variable |
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antecedent variable is a variable that comes b4 the independent variable
intervening variable is a variable in between the independent and dependent variable |
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what is the difference between a variable and a constant. Why important for testing hypotheses |
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a variable is a concept of variation, which can have many different kinds of relationship
a constant is a concept of no variation
you need to have both a constant and a variable so you can compare your cariable to constant |
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using info that shows a relationship forgroups to infer that the same relationship exists for individuals when no such relationships exist at the individual level |
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is one that is a consistent measure of the concept |
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one in which the values of one variable increases as the values of another varaible decreases |
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the extent to which a measurement records the true value of the characteristic the researcher intends to measure |
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particular type of actor whose political behavior is named in a hypothesis for the research project |
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a guess(but an educated nature) that represents the proposed explanation for some phenomenon and that indicates how an independent variable is thought to affect, influence, or alter a dependent variable |
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the empirical measurement of a characteristic |
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a variable that occur prior to all other variable and that may affect other independent variables |
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a variable that occurs closer in time to the dependent variable and is itself affected by other independent varalb |
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caused, to depend upon, to be a function of independent variable |
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differece between deductive and inductive reasoning |
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deductive-proper application of logic guarantees the truthfulness of a proposition. If premises are true, conclustion is true
inductive- process of drawing an inference from a set of premises. Premises do not guarantee conclusion but tend to support it |
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central componetns of scintific knowledge in political science |
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- empirical verfication-objective
- falsibility-can in principle b rejected
- transmissible-dscoveries explicit so others can analyse
- cumulative-built upon the result or prior studies
- applicable to many rather than few
- explanatory
- parsimony-simplistic
- non-normative-concerned with fact finding
- empirical generalization- more general
- perdictive-interpretation for future
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Is political science a real science |
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lack of exactute in methods and content
not same level of precision
philosophical objections |
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how does explanation lead to prediction |
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explanation can be predictive by offering systematic, reasoned anticipation of future events. It gives scientific reasons or justification for why certain outcome is to be expected |
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why scientific knowledge must be transmissible |
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the method used in making scientific dscoveries must be made explicit so that others can analyse and replicate findings.
science is a social activity in that it takes several scientists, analysing and criticising each other to produce a more reliable knowledge |
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value of replication in cumulative knowledge |
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both the substantive finding and research technique are build upon results of prior studies. If the original results are not replicated using the same procedure they may be incorrect |
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difference between normative and nonnormative knowledge |
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non-normatice knowledge is concerned not with evaluation or prescription but with factual or objective determination
WHILE
normative knowledge is evaluative, value laden and concerned with prescribing what ought to be |
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importatn because it can be predictive by offering systematic, reasoned anticipation of future events |
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summarizes relationships between individual facts |
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both the substantive findings and research technique are built upon the results of prior studies |
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knowledge that is concerned not with evaluation or prescription but with factual or objective determination |
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when statements or hypothesis can in principle be rejected in the face of contravening empirical evidence |
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argue that humans do not simply discover knowledge of the real world through a neutral process like the scientific method but create it |
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refers to the process of drawing an inference form a set of premises and observations |
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one in which, if premises are true, the conclustion must necessarly be true as well |
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is a body of statements that systematize knowledge of, and explain phenomena |
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dictates that when given choices between two compelling explanations, the explantion that relies on fewer explanatory factors is the better choice |
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probabilistic explanation |
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which it is not a necessary to explain or predict a phenomenon with 100% accuracy |
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knowledge that is evaluative, value laden, and concerned with prescribing what ought to be |
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indicates only a difference between categories
ex:state/region/party affiliation/gender |
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ranked in order in addition to indicating a difference between categories |
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meaningful interval between varible but does not use a meaningful zero
ex= SAT score |
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meaningful interval between values and includes a meningful zero |
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what is the difference between a hypotheses and a theory? what is the role of each |
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A theory is a body of statements that synthesizes knowlegde or explain phenomena. A hypothesis are the terms to be tested through the collection and analysis of empirical data. The role of the hypotheses is to be tested by empirical data. The role of theory is to sysnthesize the knowlegde of a phenomena |
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longer or skinnier, riht hand tail.mean is higher than median |
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skinnier left-hand tail. mean is lower than its median |
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