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RMDA Exam 2

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Term
Definition
Nominal Scales   show
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Ordinal Scales   show
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show -Intervals between levels are equal in size, but may not be equal in a person's mind -Can be summarized using means -No absolute zero  
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Ratio Scale   show
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show -One paragraph -Gender, mean age, range or SD of ages, ethnicity, number of participants, consent/ IRB approved consent, informed consent, different conditions (may put in procedure), missing data (attrition), how many people assigned to each condition  
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Writing Methods Section - Procedure   show
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show -If you use anything where you have a cut off Manipulating turning the values into anything else that they are  
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show -Participants -Any materials used/ equipment -Procedure -Coding Schemes  
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show -Focus: behavior that can be quantified -Assign numerical values to responses and measures -Typically uses larger samples -Can do statistical analysis, calculate means -Surveys, correlational studies, experiments  
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show -Focuses on behavior in natural settings -Focus groups -Describe themes that emerge from data -Data are non-numerical and depressed in words and/or images -Researcher draws conclusions -Studies can have quantitative and qualitative aspects  
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Naturalistic observation - Field work or field observations   show
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Naturalistic observation - Goals   show
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Naturalistic observation - Participate   show
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Naturalistic observation - Pros   show
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Naturalistic observation - Cons   show
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show -Just observing -Remaining objective -Never part of the group; may not choose to incorporate you; may change behavior  
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show -Decide if you’re gonna tell them about research purposes -Pros and cons: reactivity, invasion of privacy  
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Systematic Observation   show
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Systematic Observation - Methodological issues   show
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Case studies   show
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Psychobiography   show
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Archival research   show
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Archival research - Limitations   show
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show -Information re: current events, political or consumer choices -Awareness of public health services, vaccines, ect  
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show -Preferences or evaluations (attitudes towards groups, ethnic groups, ect) -Beliefs about political or social events (which party provides bete security) -Feelings or moods (quality of life, depression, marital satisfaction, ect)  
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What do surveys measure - Behavior   show
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Defining research objectives   show
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Constructing survey questions   show
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Closed-ended items   show
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Closed-ended items - Direct (face valid) assessment   show
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Closed-ended items - Behavioral (content valid) indicators (same concept using open-ended questions)   show
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show -Chief virtue: clear operationalization -Chief liability: potentially insensitive  
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show -Specific and concrete; we know exactly what the participant is responding to -Easy to quantify and use statistically -Can be tested for reliability  
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show -Brief and simply worded; potentially superficial -“Top down”; issues are imposed on the participant -Discrimination studies; no options for “has no attitude” -Attitudes / moods; not sensitive to participants' personal perspectives  
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Closed-ended items - Rating scales   show
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Graphic rating scale   show
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show -Examines respondents meaning of concepts -Concepts rated on a series of bipolar adjectives -strong/weak, active/passive, quiet/loud  
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show -Range of faces for pain, or taste perception, satisfaction, happiness  
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Labeling response alternatives   show
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Likert rating scale   show
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show -General / textual -More sensitive to the respondent -More difficult to interpret  
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show -“Paper and pencil” or internet based -Assume at least a moderate reading level -Cheap and easy to administer -Internet: representativeness very dubious  
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Face-to-face interview   show
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General issues in surveys - Cost/ population access   show
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General issues in surveys - Participant sophistication   show
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show -Clear face-valid items addressing embarrasing topics yield less valid responses -Wording elicts innaccurate responses -Populations differ in social desirability responding; may be a confound in studying group differences  
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Question order   show
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show -Social research is increasingly important to political and cultural debates -Pressure for confirmity results encourages bias or outright fraud  
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show -Recruit of part. to maz rep of sample to known pop -Uses some form of random selection -Requires each member of population has known probability of being selected -Most ext. valid approach to sampling gen. pop. -May not be totally naive to exp  
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show -Uses available samples for convenience, or targeted outreach to unusual or small populations Selection may be either systematic or haphazard Often most ext. valid approach to unusual groups, No sampling frame available  
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show -Early participants are paid to recruit others, who recruit others, ect  
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Internal validity   show
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General research hypothesis   show
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Posttest-only design   show
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show -A pretest is given to each group prior to introduction of the experimental manipulation Assures that groups are equivalent at the beginning of the experiment Can quickly measure changes that occur from the pretest to the posttest  
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show Between-subjects design Participants only participate in one group  
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show Within-subjects design Same participants in all conditions  
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show -All possible trial orders are presented Typically done with along with gender or other participants variables Used with repeated measures design because same person serves as own control  
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show When you have many possible orders Can be used for condition order and trial order in each condition Each treatment only occurs once in each row and once in each column  
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show Goal is to match people on a participant characteristic Not completely random assignment Find 2 ppl w/ same characteristic then each gets randomly assigned to a condition Usually for experiments with two conditions Useful to control for confounds  
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show Same age, no groups (demonstration studies) Different age groups (most popular design) Same age, different ability groups (age-matched controls and age-held constant design  
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show Age (when kids are 6, 12, and 18 months old) Ability (when kids go from crawling to walking) Pre/post intervention Microgenetic  
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show H0: the means of the populations from which the samples were drawn equal H0: any difference between the M for the experimental group and the M for the control group is by chance alone  
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show H1: the means of the population from which the samples were drawn are not equal  
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Statistical significance   show
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show Made when the null hypothesis is rejected but the null hypothesis is actually true We think there's an effect but there's actually not Means are same but think they are diff Called a false positive Obtained when large value obtained by chance  
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Type II errors   show
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Meaning of the t statistics   show
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Independent samples t test   show
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Paired samples t test   show
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3 ways to give authors credit for ideas in paragraph   show
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Paraphrasing   show
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show Smith, G.R, Ferguson, T (2001). Sigmund Freud: Champion of the unconscious, Great Psychologists, 13, 241-276.  
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