Transcript Scrutinizing Data Collection Mehtods
Scrutinizing Data Collection Methods
Professor Lisa High University of Windsor
Existing Data vs. New Data
First data collection decision
: - Use existing data New data gathered How will the researcher generate data?
Methods of Collection
Historical research Secondary analysis Records
Data Collection Methods
When existing data is not available Developing a data collection plan = 3 types of approaches used most frequently: (1) (2) (3) Self-reports Observation Physiologic measures
Dimensions of Data Collection Methods
Four Dimensions
: (1) Structure (2) Quantifiability (3) Obtrusiveness (4) Objectivity
Self-report Methods
Direct questioning
Unstructured Reports
: Completely unstructured interviews Focused or semi-structured interviews Focus group interviews Life histories Diaries
Self-report Methods
Structured self-report - formal means of collection – written document = instrument Instrument is the “ interview schedule ” “ questionnaire ” or ( face to face or telephone)
QUESTION FORMS
: (a) - dichotomous, multiple choice, cafeteria, rank order and forced question (a) Closed-ended questions or fixed alternative Open-ended questions
Instrument Construction
Outline of the instrument ’ s content Monitor for: wording, clarity, sensitivity of the respondent ’ s psychological state, freedom from bias, and reading level Draft instruments Critically reviewed Pre-test/pilot -tested Borrowed or adapted from other instruments
Interviews vs. Questionnaires
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Questionnaires
less costly -
Interviews
face-to-face interviews = good response rates Less time and effort to administer Feasible for most people Complete anonymity Questions less likely to be misinterpreted Absence of interviewer = no biases can produce additional information through observation
Scales & special Forms of Structured Self-Reports
Social-psychological scales response bias (social desirability, extreme response, acquiescence response) Counterbalancing?
Vignettes Projective techniques Q-sorts
Evaluation of Self-Report Methods
Strengths: Behaviors can be observed Yields more information Most commonly used in nursing
Weakness
: Validity and accuracy Social desirability Unstructured = time consuming and demanding
Critiquing Self-Reports
What to look for: Degree of structure Interview or questions uses Composite scale administered How instruments administered Response rate
Observational Methods
Alternative to self-reports Broad applicability
Researcher flexibility to several dimensions
: (1) (2) (3) (4) Focus of the observation Concealment Duration of observation Method of recording observations
Unstructured Observational Methods
Permits the researcher to see the world as the study participants To develop a rich understanding and appreciation of the phenomena Extract meaning form events and situations Grasp the subtleties of cultural variation What is participant observation?
Gathering Unstructured Observational Data
Consider the following
: (a) (b) (c) (d) (e) (f) The physical setting – where questions The participants – who questions Activities – what questions Frequency and duration – when questions Process – how questions Outcomes – why questions
Positioning Approaches
(1) Single Positioning (2) Multiple Positioning (3) Mobile Positioning
Recording Unstructured Observational Data
Log Field notes Observational notes Theoretical notes Methodologic notes Personal notes
Structured Observational Methods
Differs from unstructured observational Advance preparation Accurate categorizing, recording and encoding the observation and sampling Checklist Rating scales
Observational sampling includes
: (a) Time sampling (b) Event sampling
Evaluation of Observation Methods
Have an intrinsic appeal to capture Suited for people who are unable to describe their own behaviors Provides in-depth and diverse information Humans are used as the measuring instruments Shortcomings – ethical difficulties, reactivity, observational bias Unstructured – yield richer data
Biophysiologic Measures
Use of biophysiologic and physical variables (1) (2) (3) (4) (5)
Five classes
: Basic biophysiologic processes Nursing actions = outcomes Evaluation of specific nursing procedures/interventions Evaluate & improve the measurement & recording of biophysiologic information Antecedents and consequences of biophysiologic indicators = possible treatment modes
Types of Biophysiologic Measures
Includes:
“ in vivo measures ” or “ in vitro measures ”
IN
vivo measures
– living organisms performed directly within or on IN
vivo instruments
– to measure all bodily functions and technological advances IN
vitro measures
– data gathered from participants extracting some biophysiological material from them In
vitro measures
– chemical, microbiologic, cytologic and histologic means
Types of Biophysiologic Measures
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Evaluation of Biophysiologic Measures: Accurate and precise Measures are objective Valid measures of the targeted variables Cost usually low or nonexistent
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Disadvantages: measuring tool may affect the variable Normally interferences that create artifacts Energy must be applied – avoid damaging cells
Critiquing Biophysiologic Measures
Critiquing Biophysiologic Measures:
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most important consideration – the appropriateness of the measures for the research question
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Review: Box 11-4 – p. 293 – 1 st edition Box 13.5 – p. 308 – 2 nd edition