GoConqr has a new look! Let us know what you think.

Sign up free

Flashcards

Stat Quiz Review

Theana Ezen English 62 cards

Cards in this deck (62)

  1. 1summarizes the collection of seemingly related observations and experiencesConception
  2. 2observations and experiences are ____; conceptions are ______real ; mental images
  3. 3Agreeing on what terms mean isConceptualization
  4. 4The result of conceptualizationConcept
  5. 5theoretical creations that are based on observations but cannot be observed directly or indirectlyConstructs
  6. 6TRUE OR FALSE: A concept is a construct – something we create and agree upon based on mental imagesTRUE
  7. 7the process of development and clarification of conceptsConceptualization
  8. 8clarifying one's concepts with words and examples and arriving at precise verbal definitionsConceptualization
  9. 9process through which we specify what we mean when we use particular terms in researchConceptualization
  10. 10We classify different meanings into different groups. Such groups are calledDimension
  11. 11TRUE OR FALSE: At a practical level, we are usually more interested in dimensions than in conceptsTRUE (because concepts are abstract/vague)
  12. 12When a dimension is not directly observable, we useIndicators
  13. 13a sign of the presence or absence of the concept we are studyingIndicators
  14. 14Difference between concept, dimension, and indicatorIn practice, the three terms are
    often interchangeable but one difference is the level of abstraction
  15. 15TRUE OR FALSE: One concept may have multiple dimensions; and one dimension may have multiple indicatorsTRUE
  16. 16a quantity that can take on different possible valuesVariable
  17. 17TRUE OR FALSE: Both dimension and indicator can be variablesTRUE
  18. 18In order to measure scientifically, remember that: You must have a ___ to study that is ___ and not ____thing ; real ; not imaginary
  19. 19TRUE OR FALSE: Constructs are based on mutually agreed mental conceptions of some object or behavior, the conceptions must be based on observables to be scientific.TRUE
  20. 20TRUE OR FALSE: Constructs do not have intrinsic meaningTRUE
  21. 21describes how a concept will be measuredOperationalization
  22. 22Operationalization ChoicesRange of Variation (Should be based
    on distribution in the population you
    are studying)
    Precision of Variation
  23. 23Can only be used to describe the group that is being studied. The results cannot be generalized to any larger groupDescriptive Statistics
  24. 24Examples of Descriptive StatisticsFrequency distributions
    measures of central tendency (mean, median, and mode)
    graphs
    like pie charts and bar charts that describe the data
  25. 25concerned with making predictions or inferences about a population from observations and analyses of a sampleInferential Statistics
  26. 26properties or characteristics of some event, object, or person that can take on different values or amountsVariables
  27. 27When a variable is manipulated by an experimenter, it is called anIndependent Variable
  28. 28In general, the independent variable is manipulated by the experimenter and its effects on the _____ variable are measured.Dependent
  29. 29are thought to influence changes in another variableIndependent Variable
  30. 30IV is sometimes calledexplanatory or predictor variable in nonexperimental research
  31. 31DV is sometimes calledoutcome or criterion variable in nonexperimental research
  32. 32changes in IV CAUSE changes in DVCausal Relationship
  33. 33variables are associated or occur together without the assumption of causationNoncausal Relationship
  34. 34is a designed research that provides information needed to solve a problemStatistical Inquiry
  35. 351. Identify the Problem 2. Plan the Study 3. Collect the data 4. Explore the data 5. Analyze the data and interpret the results 6. Present the resultsSteps of Statistical Inquiry
  36. 36“The goal is to transform data into information, and information into insight.”Carly Fiorina (Chairwoman of Hewlett-Packard Co. in 2000)
  37. 37Assigning a value or a number on a characteristic or attribute A step taken in finding out whether the subject of our study have the attribute we are examining, and to what extent they have itMeasurement
  38. 38Difference between conceptual and operational definitionsVariables are first defined by conceptual definitions. These are definitions that
    explain the concept the variable is attempting to capture.
    Second, variables are defined by operational definitions. These are definitions of how the variable will be measured in practice.
  39. 39Qualities of Variables1. Exhaustive (include all possible responses)
    2. Mutually Exclusive (no respondent should be able to have two attributes simultaneously)
  40. 40The relationship of the values that are assigned to the attributes for a variableLevel of Measurement
  41. 41Why is Level of Measurement Important?1. Helps you decide what statistical analysis is appropriate on the values that were assigned
    2. Helps you decide how to interpret the data from that variable
  42. 42Data TypesQualitative
    Quantitative
  43. 43consist of values that can be separated into different categories that are distinguished by some nonnumeric characteristicQualitative
  44. 44a consist of values representing counts or measurementsQuantitative
  45. 45can take on any value in a given interval. Continuous data values result from some continuous scale that covers a range of values without gaps, interruptions, or jumps; can take any value within a rangeContinuous data
  46. 46can take on only particular distinct values and not other values in between. The values in discrete data is either a finite number or a countable number; jump from one category to anotherDiscrete Data
  47. 474 Levels of MeasurementNominal
    Ordinal
    Interval
    Ratio
  48. 48Qualitative Levels of MEasurementNominal
    Ordinal
  49. 49Quantitative Levels of MeasurementInterval
    Ratio
  50. 50are we studying what we think we are studying?Validity
  51. 51are the measures we are using consistent?Reliability
  52. 52refers to the degree to which a study accurately reflects or assesses the specific concept that the researcher is attempting to measure.Validity
  53. 53refers to the extent to which the results of a study are generalizable or transferableExternal Validity
  54. 54rigor in which the study as conducted and extend to which the designers of a study have taken into account alternative explanations for any causal relationships they exploreValidity
  55. 55concerned with how a measure or procedure appears (does not depend on established theories for support)Face Validity
  56. 56also referred to as instrumental validity, is used to demonstrate the accuracy of a measure or procedure by comparing it with another measure or procedure which has been demonstrated to be validCriterion Related Validity
  57. 57seeks agreement between a theoretical concept and a specific measuring device or procedureConstruct Validity
  58. 58based on the extent to which a measurement reflects the specific intended domain of contentContent Validity
  59. 59is the extent to which an experiment, test, or any measuring procedure yields the same result on repeated trials.Reliability
  60. 60Can a test be reliable without being valid?Yes, a test can be reliable without being valid.
  61. 61Can a test be valid without being reliable?No, a test cannot be valid but not reliable.
  62. 62TRUE OR FALSE: A test can be reliable and not valid; but if it is valid, it is by default reliableTRUE

Information

Description
Flashcards on Stat Quiz Review, created by Theana Ezen on 16/09/2024.
Created by
Theana Ezen
Views
6
Rating

Feedback

What is it about?

What do you think of the new look?

How do you like it?