Chapter 10 Clarifying Measurement and Data Collection in

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Chapter 10 Clarifying Measurement and Data Collection in Quantitative Research Copyright © 2011 by

Chapter 10 Clarifying Measurement and Data Collection in Quantitative Research Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 1

Concepts of Measurement Theory Directness of measurement Measurement error Level of measurement Reliability Validity

Concepts of Measurement Theory Directness of measurement Measurement error Level of measurement Reliability Validity Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 2

Directness of Measurement Directness of measurement Direct measures (concrete things such as oxygen saturation,

Directness of Measurement Directness of measurement Direct measures (concrete things such as oxygen saturation, temperature, weight) Ø Indirect measures (abstract concepts such as pain, depression, coping, self-care, and self-esteem) Ø Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 3

Measurement Error Difference between the true measure and what is actually measured Systematic error:

Measurement Error Difference between the true measure and what is actually measured Systematic error: the variation in measurement is in the same direction Ø Random error: the difference is without pattern Ø Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 4

Levels of Measurement Nominal Ordinal Interval Ratio Copyright © 2011 by Saunders, an imprint

Levels of Measurement Nominal Ordinal Interval Ratio Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 5

Nominal-Scale Measurement Lowest of the four levels of measurement Categories that are not more

Nominal-Scale Measurement Lowest of the four levels of measurement Categories that are not more or less, but are different from one another in some way Mutually exclusive and exhaustive categories Named categories Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 6

Example of Nominal Data Gender Ø Ø 1 = Male 2 = Female Copyright

Example of Nominal Data Gender Ø Ø 1 = Male 2 = Female Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 7

Ordinal-Scale Measurement Order/ranking imposed on categories Numbers must preserve order Ø Ø Ø 1

Ordinal-Scale Measurement Order/ranking imposed on categories Numbers must preserve order Ø Ø Ø 1 = Tallest 2 = Next tallest 3 = Third tallest Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 8

Interval-Scale Measurement Numerical distances between intervals Absence of a zero point Likert scale scores

Interval-Scale Measurement Numerical distances between intervals Absence of a zero point Likert scale scores Ø Ø Ø 1 = Strongly disagree 2 = Disagree 3 = Neutral 4 = Agree 5 = Strongly agree Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 9

Ratio-Scale Measurement Highest for measurement Continuum of values Absolute zero point Copyright © 2011

Ratio-Scale Measurement Highest for measurement Continuum of values Absolute zero point Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 10

Example of Ratio Data Test scores Ø Ø Ø 1 = Lowest third percentile

Example of Ratio Data Test scores Ø Ø Ø 1 = Lowest third percentile 2 = Middle third percentile 3 = Top third percentile Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 11

Reference of Measurement Norm-referenced testing Tests performance standards that have been carefully developed over

Reference of Measurement Norm-referenced testing Tests performance standards that have been carefully developed over years with large, representative samples using a standardized test with extensive reliability and validity Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 12

Reference of Measurement (cont’d) Criterion-referenced testing Ø Comparison of a subject’s score with a

Reference of Measurement (cont’d) Criterion-referenced testing Ø Comparison of a subject’s score with a criterion of achievement that includes the definition of target behaviors • When behaviors are mastered, the subject is considered proficient in the behaviors. Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 13

Reliability Testing Concerned with how consistently the measurement technique measures the concept of interest

Reliability Testing Concerned with how consistently the measurement technique measures the concept of interest Needs dependability, consistency, accuracy and comparability If expressed as a correlation coefficient, 1. 00 is perfect reliability, whereas 0. 00 is no reliability. The lowest acceptable coefficient for a welldeveloped measurement tool is 0. 80. Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 14

Types of Reliability Stability: Concerned with the consistency of repeated measures or test-retest reliability

Types of Reliability Stability: Concerned with the consistency of repeated measures or test-retest reliability Equivalence: Focused on comparing two versions of the same instrument (alternate forms reliability) or two observers (interrater reliability) measuring the same event Homogeneity: Addresses the correlation of various items within the instrument or internal consistency; determined by split-half reliability or Cronbach’s alpha coefficient Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 15

Interrater Reliability Consistency in raters Ø % = number of behaviors performed/total number of

Interrater Reliability Consistency in raters Ø % = number of behaviors performed/total number of behaviors Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 16

Critiquing for Reliability What reliability information is provided? Does the author include reports of

Critiquing for Reliability What reliability information is provided? Does the author include reports of the validity of the instrument from previous studies? 3. Did the author perform pilot studies to examine the validity of the instrument? 4. Did the researcher report use of data from the present study to examine instrument validity in the discussion section of the report? 1. 2. Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 17

What Is Validity? It is the extent to which an instrument reflects the concept

What Is Validity? It is the extent to which an instrument reflects the concept being examined. Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 18

Physiological Measures Accuracy Selectivity Precision Sensitivity Sources of error Copyright © 2011 by Saunders,

Physiological Measures Accuracy Selectivity Precision Sensitivity Sources of error Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 19

Critiquing Methods of Measurement Were the measurement strategies clearly identified and described? What level

Critiquing Methods of Measurement Were the measurement strategies clearly identified and described? What level of measurement was achieved by each instrument? Was the reliability of each measurement method adequate? Was the validity of each measurement method adequate? If physiological instruments were used, were they accurate and precise? Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 20

Measurement Strategies in Nursing Physiological measurements Observational measurements Interviews Copyright © 2011 by Saunders,

Measurement Strategies in Nursing Physiological measurements Observational measurements Interviews Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 21

Examples of Physiological Measures Physical measurement methods Ø Ø ECG, BP, I&O SVO 2,

Examples of Physiological Measures Physical measurement methods Ø Ø ECG, BP, I&O SVO 2, pulse oximetry Microbiological Ø Ø Ø Smears Cultures, number of CFU Sensitivities Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 22

Observational Measurements Unstructured observations Structured observations Ø Ø Ø Category systems Checklists Rating scales

Observational Measurements Unstructured observations Structured observations Ø Ø Ø Category systems Checklists Rating scales Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 23

Critiquing Observational Measurement Is the object of observation clearly identified and defined? 2. Is

Critiquing Observational Measurement Is the object of observation clearly identified and defined? 2. Is interrater reliability described? 3. Are the techniques for recording observations described? 1. Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 24

Types of Interviews: Unstructured Uses broad questions Ø Ø Describe for me your experience

Types of Interviews: Unstructured Uses broad questions Ø Ø Describe for me your experience with… Role of interviewer is to encourage continued discussion Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 25

Examples of Unstructured or Open. Ended Interview Questions Tell me about. . . What

Examples of Unstructured or Open. Ended Interview Questions Tell me about. . . What has been your experience with. . . What was it like to hear you have cancer? Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 26

Types of Interviews: Structured interviews Ø Ø Ø Describing interview questions Pretesting the interview

Types of Interviews: Structured interviews Ø Ø Ø Describing interview questions Pretesting the interview protocol Training interviewers Preparing for an interview Probing Recording interview data Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 27

Closed-Ended Interview Questions Structured Response alternatives fixed Which would you rather do, x or

Closed-Ended Interview Questions Structured Response alternatives fixed Which would you rather do, x or y? Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 28

Critiquing Interview Methods Do the interview questions address concerns expressed in the research problem?

Critiquing Interview Methods Do the interview questions address concerns expressed in the research problem? 2. Are the interview questions relevant for the research purpose and objectives, questions, or hypotheses? 3. Does the design of the questions tend to bias subjects’ responses? 4. Does the sequence of questions tend to bias subjects’ responses? 1. Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 29

Focus Groups Used to study qualitative issues Obtain participants’ perceptions of narrow subject in

Focus Groups Used to study qualitative issues Obtain participants’ perceptions of narrow subject in a group interview session Give group a feeling of “safety in numbers” Nonverbal approaches are included. Discussion helps to provide depth of data. Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 30

Focus Group Considerations May sort participants into smaller groups with common characteristics: segmentation Need

Focus Group Considerations May sort participants into smaller groups with common characteristics: segmentation Need to select an effective moderator to keep discussion on track The setting should be relaxed and comfortable. High-quality tape recordings should be made. Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 31

Critiquing the Use of Focus Groups What was the aim of the focus group?

Critiquing the Use of Focus Groups What was the aim of the focus group? Was the group size appropriate for the focus group method? 3. Was group sufficiently homogeneous to speak candidly? 4. Was moderator successful in keeping discussion focused? 1. 2. Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 32

Critiquing the Use of Focus Groups (cont’d) Was the aim of the focus group

Critiquing the Use of Focus Groups (cont’d) Was the aim of the focus group achieved? Did conclusions appear to be representative? 7. Were minority positions identified and explored? 5. 6. Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 33

Measurement Strategies Questionnaires Scales Q methodology Diaries Delphi technique Copyright © 2011 by Saunders,

Measurement Strategies Questionnaires Scales Q methodology Diaries Delphi technique Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 34

Questionnaires Administration Ø Ø Ø In person/on phone Self-administered Mail Copyright © 2011 by

Questionnaires Administration Ø Ø Ø In person/on phone Self-administered Mail Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 35

Scales Rating scales The Likert scale Semantic differential scales Visual analog scales Copyright ©

Scales Rating scales The Likert scale Semantic differential scales Visual analog scales Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 36

Example of Items in a Likert Scale Copyright © 2011 by Saunders, an imprint

Example of Items in a Likert Scale Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 37

Example of Visual Analog Scale Copyright © 2011 by Saunders, an imprint of Elsevier

Example of Visual Analog Scale Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 38

Critiquing a Scale Is the instrument clearly described? Are the techniques that were used

Critiquing a Scale Is the instrument clearly described? Are the techniques that were used to administer and score the scale provided? 3. Is information about validity and reliability of the scale described from previous studies? 4. Is information about validity and reliability of the scale described for the present sample? 5. If the scale was developed for the study, was the instrument development process described? 1. 2. Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 39

Critiquing the Data Collection Process Was data collection process clearly described? Was data collection

Critiquing the Data Collection Process Was data collection process clearly described? Was data collection conducted in a consistent way? Were research controls maintained? If data collectors were used, were they adequately trained? Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 40

Serendipity The accidental discovery of something useful or valuable. Can lead to new insights

Serendipity The accidental discovery of something useful or valuable. Can lead to new insights Copyright © 2011 by Saunders, an imprint of Elsevier Inc. 41