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Steps to Content Analysis: |
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1) Id your research question/hypothesis 2) Id your unit of analysis- what are you trying to make your claim about ? 3) Id your sampling unit- collect a sample of texts 4) Id your coding unit-then have 2 indept. Coders unitize the texts 5) Calculate unitizing reliability (must be at least .70) 6) Have two indept. Coders “code the text 7) Calculate inter-coder reliability (must be at leae .70) 8) Analyze Data |
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public (ads), private (transcribed convos b/w intimates), scripted (press releases), spontaneous (initial interactions b/w strangers), linguistic/non-linguistic |
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process of segmenting text into its “chunks” for coding purposes |
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reoccurring ideas w/in larger units of the text |
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Number counting, no interpretive analysis |
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interpretation, underlying meaning |
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Types of RQs that com. Researchers ask: |
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1) Levels and kinds of factual knowledge held by respondant 2) Trait/state orientations or dispositions 3) Cognitive beliefs/perceptions abt. Some phenomenon 4) Networks of com 5) Demographic features 6) Affective feelings/emotional response to some phen. 7) Reports on behaviors |
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use of several ?s to measure a given variable. |
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when a variable has a single facet and all the ?s asked will focus on this single facet. |
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when a variable has several facets, or components |
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constructed through simple accumulation of scores assigned to indiv. Attributes. |
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assignment of scores to patterns of responses, recognizing that some items reflect a relatively weak degree of that variable while others reflect something stronger |
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makes sure that items are getting at a concept, avoids errors |
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1) cheaper and quicker than interviews, some people find it too much trouble to mail back in |
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1) saves money and time., no need to drive some place for an interview, bad b/c people may hang up |
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Standardized Interview Surveys |
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: face to face encounter, fewer incomplete surveys, good for complicated surveys, Answers must be recorded accurately, probing for answers |
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easy and quick, may not be representative |
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easy to get at certain populations, but not necessarily generalizable to whole population |
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avail, participants, risky, not generalizable |
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Purposive/judgmental sampling: |
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used in pilot study, small subset of population |
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specialized populations, asking participants to seek out other similar |
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error expected in sampling |
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actual list of sampling units |
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attempts to be representative of population, more accurate in terms of wide variety of people, systematic, some sort of table you look @ |
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sample reflects the population |
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equal probability of being chosen |
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not typical not representative |
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people and or unit of analysis |
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numerical characteristic of pop. |
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method to determine sample |
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method to determine sample |
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sampled by segments, strata |
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1. whether a particular technique, applied repeatedly to the same object would yield the same result each time *Reliability does not ensure accuracy; it just gives you the same result every time * |
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1. making the same measurement more than once to check consistency of measurements |
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Alternate-form reliability: |
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creating two different versions of the same measure for the same pool of items. Used particularly with pencil and paper questionnaires. The same/similar scores will be derived from the subgroups measured by each form. |
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a. A kind of internal consistency measurement of reliability in which the scores from 2 halves of a given measurement are correlated for a group of participants |
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compares the consistency/correlation, of each item in a measure with the total score across all items of the measure |
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extent to which an empirical measure adequately reflects the real meaning of the concept under consideration |
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how well a measure covers the range of meanings /dimensions within the concept |
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: how well a measure covers the range of meanings /dimensions within the concept |
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one asks whether a given measure on its face appears to tap the full range/scope of a variable as conceptualized by researchers. |
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a) a group of experts in an area evaluates a measure’s validity |
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useful in indicating trait/behavior |
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comparing the outcome of one measure to the outcome of another measure |
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relationship between variables based on theory/logical relationships |
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refinement and specification of abstract concepts for an agreed meaning in a study |
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development of specific research procedures to identify the focus of the study |
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1. Explicit procedures/directions for how to measure variables/attributes accurately |
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theoretical creations that are based on observations but cannot be observed directly/indirectly |
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the presence or absence of the concept we are studying ((simplistic view- items on a questionnaire)) |
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Concepts that have more than one aspect/facet ((attributes)) |
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Characteristic/quality of something |
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logical sets of attributes |
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you must be able to classify every observation in terms of one of the attributes composing the variable |
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you must be able to classify every observation in terms of one and only one attribute |
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Names & labels offered for the attributes of each variable |
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Measures of variables that can be logically rank-ordered ;Not numerically quantified |
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Measures variables in which the dist. b/w the attributes is impt | |
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Measures are based on a true zero point; 0-100 |
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