Matching Research Designs and Analyses.
The article focuses on matching research designs with appropriate data collection and analysis methods to ensure valid, reliable, and unbiased study outcomes. It outlines the process of formulating clear research questions and hypotheses, differentiates between descriptive and experimental research...
| Publicado en: | Radiation Therapist Vol. 35; no. 1; pp. 37 - 49 |
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| Autores principales: | , |
| Formato: | tables/charts Journal Article |
| Publicado: |
American Society of Radiologic Technologists
Spring2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192283428&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192283428 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10841911 GTK jtl: Radiation Therapist issn: 10841911 maglogo: N pubinfo: dt: Spring2026 vid: 35 iid: 1 pid: 7052 pub: American Society of Radiologic Technologists place: Alburquerque, New Mexico artinfo: ui: 192283428 192283428 192283428 192283428 ppf: 37 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Matching Research Designs and Analyses. aug: au: Johnson, Brandy Drotar, Kathleen affil: Continuing education editor for the American Society of Radiologic Technologists sug: subj: Study Design Hypothesis Multimethod Studies Descriptive Statistics Quasi-Experimental Studies Correlational Studies Nonexperimental Studies Case Studies Case Control Studies Cross Sectional Studies Pretest-Posttest Design Surveys Analysis of Variance Chi Square Test Pearson's Correlation Coefficient Qualitative Studies Quantitative Studies Psychometrics Reliability and Validity Validation Studies ab: The article focuses on matching research designs with appropriate data collection and analysis methods to ensure valid, reliable, and unbiased study outcomes. It outlines the process of formulating clear research questions and hypotheses, differentiates between descriptive and experimental research designs, and explains quantitative, qualitative, and mixed-methods approaches. Key data collection techniques such as experiments, surveys, interviews, and observational studies are described, along with considerations for selecting suitable statistical tests—including t tests, analysis of variance (ANOVA), chi-square tests, and Pearson correlation—based on the data type and research goals. The article emphasizes the importance of aligning research questions, data types, and analysis methods while addressing reliability, validity, and potential biases to produce trustworthy conclusions. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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