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Terms in this set (53)self-report measure A method of measuring a variable in which people answer questions about themselves in a questionnaire or interview observational measure A method of measuring a variable by recording observable behaviors or physical traces of behaviors. Also called behavioral measure physiological measure A method of measuring a variable by recording biological data categorical variable A variable whose levels are categories (e.g., male and female). Also called nominal variable quantitative variable A variable whose values can be recorded as meaningful numbers ordinal scale A quantitative measurement scale whose levels represent a ranked order, and in which distances between levels are not equal (e.g., order of finishers in a race) interval scale A quantitative measurement scale that has no "true zero," and in which the numerals represent equal intervals (distances) between levels (e.g., temperature in degrees) ratio scale A quantitative measurement scale in which the numerals have equal intervals and the value of zero truly means "none" of the variable being measured reliability the consistency of the results of a measure Validity the appropriateness of a conclusion or decision test-retest reliability The consistency in results every time a measure is used interrater reliability The degree to which two or more coders or observers give consistent ratings of a set of targets internal reliability In a measure that contains several items, the consistency in a pattern of answers, no matter how a question is phrased. Also called internal consistency correlation coefficient r A single number, ranging from -1.0 to 1.0, that indicates the strength and direction of an association between two variables slope direction The upward, downward, or neutral slope of the cluster of data points in a scatterplot strength A description of an association indicating how closely the data points in a scatterplot cluster along a line of best fit drawn through them Cronbach's alpha A correlation-based statistic that measures a scale's internal reliability. Also called coefficient alpha face validity The extent to which a measure is subjectively considered a plausible operationalization of the conceptual variable in question content validity The extent to which a measure captures all parts of a defined construct criterion validity An empirical form of measurement validity that establishes the extent to which a measure is associated with a behavioral outcome with which it should be associated known-groups paradigm A method for establishing criterion validity, in which a researcher tests two or more groups who are known to differ on the variable of interest, to ensure that they score differently on a measure of that variable. convergent validity An empirical test of the extent to which a self-report measure correlates with other measures of a theoretically similar construct. See also discriminant validity discriminant validity An empirical test of the extent to which a self-report measure does not correlate strongly with measures of theoretically dissimilar constructs. Also called divergent validity Explain what it means to say that there are multiple operational definitions of any conceptual variable. ... Explain why operationally defining a variable is one of the creative aspects of the research process ... Be able to distinguish examples of the three kinds of operationalizations: self-report, observational, and physiological. ... Be able to distinguish between examples categorical and quantitative variables. ...
Explain the difference between the three subcategories of quantitative variables ratio, interval, and ordinal variables ... Be able to distinguish between examples that use ratio, interval, and ordinal scales of measurement ... Explain the difference between validity and reliability within the context of psychological research. ... Explain how it is possible for a measure to be reliable but not valid ... Why is it more important to establish construct validity for abstract variables than for variables that can be directly observed? ... Be able to recognize examples of questions that researchers might ask when interrogating the construct validity of a variable. ... Be able to recognize examples of test-retest, interrater, and internal reliability ... For what kinds of variables is test-retest reliability most relevant ... Explain why interrater reliability is relevant only for observational measures. ... Explain why internal reliability is relevant only for survey items designed to measure the same construct ... Why do researchers ask many similar questions when trying to measure a construct? ... Explain how scatterplots can be used to evaluate test-retest and interrater reliability ... When using a scatterplot to examine test-retest or interrater reliability, why do we want to see that the points are close to the line of best fit (line of agreement)? ... Explain how r conveys the strength and direction of the relationship between two variables. ... What does it mean for a relationship between two variables to be "strong"? ... Distinguish between examples of positive and negative correlations. ... What value of r is considered acceptable for good test-retest reliability? For good interrater reliability? What do low rs for these kinds of reliability indicate? ... Explain why negative rs are problematic for reliability ... What is Cronbach's alpha? What do values of Cronbach's alpha close to 1.0 indicate? What value of Cronbach's alpha is considered acceptable to indicate good internal reliability? ... Be able to recognize and distinguish examples of face validity and content validity. ... Explain how face validity and content validity are similar ... Explain how face validity and content validity are evaluated ... Know the definitions of and be able to distinguish between examples of criterion, convergent, and discriminant validity. ... Explain how the known groups paradigm is used to establish criterion validity. How is this different from other approaches to establishing criterion validity? ... Explain why convergent and discriminant validity are often evaluated together. Explain what it means to say that researchers are interested in the overall pattern of correlations (as opposed to any one correlation on its own). ... Be able to identify characteristics of scatterplots and values of r researchers would want to see when evaluating these types of validity. ... Students also viewedHuman Geo Vocab Chapter 1233 terms Yaraslau2842 Marketing Principles Chapter 5 Vocabulary25 terms courtney_kerbyTeacher AP Gov Unit 2: The Branches of Federal Gov't57 terms netaly_p Chapter 117 terms wsehlmeyer Sets found in the same folderChapter 443 terms McGuireM20 Chapter 125 terms McGuireM20 Chapter 228 terms McGuireM20 Chapter 351 terms McGuireM20 Other sets by this creatorChapter 173 terms McGuireM20 Chapter 1668 terms McGuireM20 Wheelock's Latin: Chapter 14 Vocab22 terms McGuireM20 Wheelock Ch. 13 Vocab17 terms McGuireM20 Other Quizlet setsAutonomic Nervous System59 terms Celestina_DavidsonPlus Chemistry Bell 4 Chapter 639 terms pdflashcardfactory unit 7 APHG46 terms Ajinkya22 What is discriminant validity in research?Discriminant validity is a subtype of construct validity. In other words, it shows you how well a test measures the concept it was designed to measure. Discriminant validity specifically measures whether constructs that theoretically should not be related to each other are, in fact, unrelated.
What is discriminant validity quizlet?discriminant validity. the extent to which the measure does not correlate with measures of different conceptual variables/constructs.
What is convergent validity in research?Convergent validity indicates whether a test that is designed to measure a particular construct correlates with other tests that assess the same or similar construct. Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related.
How many subcategories of quantitative variables are there?There are two types of quantitative variables: discrete and continuous.
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Why are convergent and discriminant validity often evaluated together quizlet?
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