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Qualitative Analysis

//Qualitative Analysis
Qualitative Analysis 2020-05-22T14:15:30+00:00

AMSTAT’s Expertise

AMSTAT has become nationally recognized for helping researchers and doctoral students analyze the qualitative data. Hundreds of thousands of successful clients cite these reasons for choosing to work with AMSTAT:

  • All of our principals have PhDs at leading universities, including Harvard, Stanford, and Columbia.
  • They include nationally renowned scholars who are also talented professors.
  • They have over 100 years of practical experience in qualitative methods.
  • They are experts in using qualitative data analysis software such as NVivo, Nud*ist, HyperResearch, and Atlas.
  • They are adept with scholarly databases such as JSTOR, Ebsco, ProQuest, Scopus, Questia, Blackwell Synergy, ScienceDirect, and many others.
  • Our fees usually pale in comparison to the savings and additional profits that our work produces for our clients.
  • Over 90% of our clients request our assistance more than once, as our clients are almost universally happy with our different brands of consulting.
  • We are more reasonably priced than most other consultants.
  • We offer personalized, comprehensive, and friendly support during and after your consultation with us.
  • We offer ultra-fast turnaround times, often completing sections within 4-5 business days.

Our Services

Scale test environments.

We are happy to provide the help you need at any or all of the following steps in earning the data-based answers you request:

  • Establishing and operationalizing your research questions
  • Providing ample instruction on the methods used
  • Coding, thematizing, and providing reporting of findings for a study
  • Identifying themes and sub-themes
  • Coding documents in order to count the word-phrase clusters
  • Creating a word-phrase cluster in the form of classified conceptual categories for the purpose of counting those conceptually categorized words or phrases
  • Addressing specific subthemes that the thematic constructs have
  • Providing numerical frequencies and standard scores for each master theme and sub-theme
  • Writing up all results, including APA tables and figures
  • Explaining the results
  • Allowing unlimited e-mail and phone support to ensure that you completely understand the results of the analysis
  • Preparing an effective PowerPoint Presentation.

We are dedicated to helping our clients analyze their qualitative data utilizing a number of different methodologies.

Meta-Analysis

Meta-Analysis is a methodology employed to synthesize the outcomes of various studies related to the same topic or outcome measure. We can achieve the integration of research findings through qualitative means. Qualitative meta-analysis follows the same replicable procedures of a quantitative meta-analysis; however, it is interpretive rather than aggregative. It is critical to define the domain of research and establish criteria for including studies in the review.

Phenomenology

Standardized as a phenomenological research methodology by Moustakas (1994), the modified van Kaam (1959) method involves understanding the essence, meaning, and structure of an individual’s lived experiences. AMSTAT Consulting uses this methodology to look for patterns and trends by identifying shared beliefs.

Analytic Induction

We are experts in observing events, stating a hypothesis, observing additional events, and evaluating whether the new observations follow the hypothesis. We can ease the process for anyone who uses analytic induction.

Logical or Matrix Analysis

Logical or matrix analysis emphasizes the processes of reasoning while analytic induction relies on observations. Thus, how the answer is found is as important as what the answer actually is.

When designing an interview schedule, it is imperative to ask questions that are likely to yield as much information about the study phenomenon as possible and also be able to address the aims and objectives of the research. In a qualitative interview, good questions should be open-ended (ie, require more than a yes/no answer), neutral, sensitive and understandable. It is usually best to start with questions that participants can answer easily and then proceed to more difficult or sensitive topics. This can help put respondents at ease, build up confidence and rapport and often generates rich data that subsequently develops the interview further.

As in any research, it is often wise to first pilot the interview schedule on several respondents prior to data collection proper. This allows the research team to establish if the schedule is clear, understandable and capable of answering the research questions, and if, therefore, any changes to the interview schedule are required. The length of interviews varies depending on the topic, researcher and participant. However, on average, healthcare interviews last 20-60 minutes. Interviews can be performed on a one-off or, if change over time is of interest, repeated basis, for example exploring the psychosocial impact of oral trauma on participants and their subsequent experiences of cosmetic dental surgery.

Developing the interview

Before an interview takes place, respondents should be informed about the study details and given assurance about ethical principles, such as anonymity and confidentiality. This gives respondents some idea of what to expect from the interview, increases the likelihood of honesty and is also a fundamental aspect of the informed consent process. Wherever possible, interviews should be conducted in areas free from distractions and at times and locations that are most suitable for participants. For many this may be at their own home in the evenings. Whilst researchers may have less control over the home environment, familiarity may help the respondent to relax and result in a more productive interview. Establishing rapport with participants prior to the interview is also important as this can also have a positive effect on the subsequent development of the interview.

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This list shows a sample of the past clients.

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The purpose of this qualitative cross-sectional case study was to examine leadership behavior and successful integration of technology in high schools. The research question was: RQ1: What leadership behavior supports successful integration of technology [...]

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The purpose of this qualitative single case study was to examine how managers’ spirituality plays a role in mitigating unethical behavior.  The research question was: RQ1:   How does managers’ spirituality play a role in [...]

Cancer Screening

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The purpose of the qualitative phenomenological study was to examine the lived experiences of Americans, regarding cancer screening. The research question was: RQ1. What are the lived experiences of Americans, regarding cancer screening. We [...]

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Dr. Vincent Salyers, Dean and Professor, Gonzaga University

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Dr. Raj Singhal, MD., Research Director of Pain Management, Phoenix Children's Hospital

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Prof. Mohamed Toufic El Hussein, Mount Royal University, Mount Royal University

“My project required the analysis of a complex survey that required a great deal of help in organizing the data and analyses. In addition, the project required a quick turn-around. AMSTAT asked all the right questions, made realistic and helpful suggestions, and completed the project in a timely manner. They were professional and helpful throughout the process. I highly recommend them.”

Dr. Nancy Allen, PhD., Curriculum and Technology Consultant, Curriculum and Technology Consultant
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