Ch08QuantitativeMethods_Creswell5e.pdf

Chapter 8

Quantitative Methods

Introduction

• Designing quantitative methods for a researchproposal • Survey and experimental designs • Careful measurement, parsimonious variables, theory-guided

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Defining Surveys and Experiments

• Survey design – Quantitative description of trends, attitudes, oropinions of a population – Testing association – Studying a sample of that population

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Defining Surveys and Experiments

• Experimental design – Systematic manipulation of one or more variables to evaluate an outcome – Holds other variables constant to isolate effects – Generalize to a broader population

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Components of a Survey MethodPlan

• The survey design • The population and sample • Instrumentation • Variables in the study • Data analysis and interpretation

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Components of a Survey MethodPlan

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Components of a Survey MethodPlan

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Components of a Survey MethodPlan

The survey design: • Provide a purpose for using survey research • Indicate why the survey method is preferred • Indicate the type of survey design – Cross-sectional (data collected at one point in time) – Longitudinal (data collected over time)

• Specify the form of data collection – telephone, mail, Internet personal/group interviews) and rationale

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Components of a Survey MethodPlan

The population and sample: • Identify the population including size and sampling frames • Specify the sampling design – Single-stage –Multi-stage (clustering)

• Type of sampling – Probability – Nonprobability

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Components of a Survey MethodPlan

The population and sample: • Indicate if the study involves stratification – ensuringspecific population characteristics (e.g. gender) are represented • Indicate number in the sample and procedure todetermine • Use a power analysis if you plan to detect significantassociations

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Components of a Survey MethodPlan

The population and sample: • Power analysis involves

– Estimating the size of correlation – An alpha value (type I error rate) – A beta value (type II error rate) – Conducting the power analysis (e.g., G*Power)

• Conduct power analysis during planning

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Components of a Survey MethodPlan

Instrumentation: • Name the survey instrument used to collect data • Indicate how instrument was developed • Describe the established validity scores from past use – Content validity – Predictive or concurrent validity – Construct validity

• Describe reliability of scores from past use – Internal consistency – Test-retest

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Components of a Survey MethodPlan

Instrumentation: • When modifying or combining instruments, the original validity and reliability may not hold • Include sample items from the instrument • Indicate major content sections in the instrument – Cover letter – Items – demographics, attitude items, behavioritems, factual items – Closing instructions – Type of scale for responses

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Components of a Survey MethodPlan

Instrumentation: • Discuss pilot testing or field-testing

– Rationale for plans – Content validity and reliability – Improve question

• Steps for administering for a mailed survey

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Components of a Survey MethodPlan

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Components of a Survey MethodPlan

Data analysis: • Computer programs used for analysis • Data analysis steps – Step 1. Number who did and did not respond – Step 2. Method to determine response bias – Step 3. Plan to provide descriptive analyses – Step 4. Calculate total scale scores – Step 5. Statistics and program for inferentialstatistical analyses – Step 6. Present results in figures or tables and interpret

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Components of a Survey MethodPlan

Interpreting results and writing a discussion section: • Report how the results answered the research question or hypothesis

• Practical evidence in terms of effect size and confidence interval

• Discuss implications – Consistent with, refute, extent previous studies

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Components of a Survey MethodPlan

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Components of an ExperimentalStudy Method Plan

• Experimental method plan – Participants – Variables – Instrumentation and materials – Experimental procedures – Threats to validity – Data analysis – Interpreting results and writing a discussion

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Components of an ExperimentalStudy Method Plan

Participants: • Describe procedures for recruiting participants • Describe the selection of participants as either – Random – Nonrandom (convenience)

• True experiment – individuals randomly assigned to groups • Quasi-experiment – partial or no control over random assignment

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Components of an ExperimentalStudy Method Plan

Participants: • May measure second predictor variables • Conduct and report power analysis • End with formal experimental design statement – “The experiment consisted of a one-way two-groups design comparing burnout symptoms between full-time and part-time nurses”

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Components of an ExperimentalStudy Method Plan

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Components of an ExperimentalStudy Method Plan

Variables: • Specify the variables and describe in detail

– Identify the independent variables – Include a manipulation check measure – Identify dependent variable – Identify other variables measured • Participant demographics • Measure variables that contribute noise • Potential confounding variables

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Components of an ExperimentalStudy Method Plan

Instrumentation and materials: • Describe the instrument(s) participants complete in theexperiment – Development, items, and scales – Reliability and validity reports of past uses

• Thoroughly discuss materials used for the treatment • Cover story to explain procedures if deception is used

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Components of an ExperimentalStudy Method Plan

Experimental procedures:• Identify the type of experiment

– Pre-experimental, true experiment, quasi-experiment,single subject design

• Identify the type of comparisons – within-group or between-subject – Provide a visual model to illustrate the research design used • X = treatment • O = observation • R = random assignment

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Components of an ExperimentalStudy Method Plan

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Components of an ExperimentalStudy Method Plan

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Components of an ExperimentalStudy Method Plan

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Components of an ExperimentalStudy Method Plan

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Components of an ExperimentalStudy Method Plan

Threats to validity: • Internal validity – procedures, treatments, or experiences of the participants that threaten inferences in experiments • External validity – drawing incorrect inferences from sample data to other persons, settings, situations

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Components of an ExperimentalStudy Method Plan

Threats to validity: • Statistical conclusion validity – inadequate statistical power or violation of statistical assumptions • Construct validity – inadequate definitions and measures of variables

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Components of an ExperimentalStudy Method Plan

• Threats to internal validity – History – Compensatory/resentful – Maturation demoralization – Regression – Compensatory rivalry – Selection – Testing –Mortality – Instrumentation – Diffusion of treatment

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Components of an ExperimentalStudy Method Plan

• Threats to external validity – Interaction of selection and treatment – Interaction of setting and treatment – Interaction of history and treatment

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Components of an ExperimentalStudy Method Plan

The procedure: • Administer measures of the dependent variable or a variable closely correlated • Assign participants to matched pairs • Randomly assign one member of each pair to the control and experimental group • Expose experimental group to the treatment • Administer measures of dependent variables • Compare performance of the experimental and control groups

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Components of an ExperimentalStudy Method Plan

Data analysis: • Report descriptive statistics (e.g., means, standarddeviations, ranges) • Indicate inferential statistical tests (e.g., t test, ANOVA,ANCOVA, or MANOVA) • Report confidence intervals and effect sizes in addition to statistical tests • Use line graphs for single subject designs

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Components of an ExperimentalStudy Method Plan

Interpreting results and writing a discussion section: • Interpret findings in light of hypotheses and research questions • Whether supported or refuted • Why results significant or not, literature • Indicate implications • Suggest future research

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Summary

• The methodological approach to a survey or experiment • Surveys – purpose, population and sample, instruments, relationship, research questions, items, analysis • Experiments – identify participants, variables,instruments, type of experiment, validly, analysis

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