Save this search Share Share
Text size Increase font size Decrease font size
You searched for:
Refined by:
  • Barney Glaser
Showing 1-20 of 866 items
Sort by: Relevance | Title | Pub. Date
  1. “12 CASE STUDY AND THEORY; Case Study Method”

    Roger Gomm, Martyn Hammersley & Peter Foster

    Found in: Case Study Method

    (2009)

    A common charge against case study research is that its findings are not generalizable in the way that those of social surveys are. The question often raised is: How do we know that these findings are representative? Some advocates of case study respond to this by argu...

    Tags: Hypothesis , Theory , Case study , Induction / Analytic induction , Comparison , Cases

  2. Communication Research Statistics

    Communication Research Statistics

    John C. Reinard

    (2006)

    Written in an accessible style using simple and direct language, Communication Research Statistics guides students through the statistics actually used in most empirical research in communication and the social sciences. This book is the only work in communication that includes detail...

    DOI: http://dx.doi.org/10.4135/9781412983693

    Tags: Hypothesis , Quantitative data analysis , Quantitative research , Analysis of variance (ANOVA)

  3. The SAGE Handbook of Grounded Theory

    The SAGE Handbook of Grounded Theory

    Antony Bryant & Kathy Charmaz

    (2007)

    "Tony Bryant and Kathy Charmaz are the perfect editors for this excellent and forward looking Handbook which is surely destined to be a classic" ...

    DOI: http://dx.doi.org/10.4135/9781848607941

    Tags: Grounded theory , Qualitative research

  4. The SAGE Handbook of Innovation in Social Research Methods

    The SAGE Handbook of Innovation in Social Research Methods

    Malcolm Williams & W. Paul Vogt

    (2011)

    Social Research is a bourgeoning field. Of course it has many traditions and approaches, but there is a high premium upon thinking differently and thinking anew because social life is never static or wholly predictable. This Handbook, edited by internationally recognized ...

    DOI: http://dx.doi.org/10.4135/9781446268261

    Tags: Measurement , Methodology , Sampling , Methodological pluralism , Reflexivity , Quantitative research , Knowledge , Modelling , Objectivity , Qualitative research

  5. The Sage Handbook for Research in Education

    The Sage Handbook for Research in Education

    Clifton F. Conrad & Ronald C. Serlin

    (2006)

    Research is increasingly becoming more influential in the field of education and this Handbook brings together a range of top academic experts who represent diverse fields within and outside of education, as well as quantitative, qualitative, and mixed method approaches to provide an ...

    DOI: http://dx.doi.org/10.4135/9781412976039

    Tags: Methodology , Theory , Research design

  6. The SAGE Handbook of Measurement

    The SAGE Handbook of Measurement

    Geoffrey Walford, Eric Tucker & Madhu Viswanathan

    (2010)

    The SAGE Handbook of Measurement is a unique methodological resource in which Walford, Viswanathan, and Tucker draw together contributions from the authors of the classic works in Measurement studies of the past twenty five years. Each chapter focuses on ...

    DOI: http://dx.doi.org/10.4135/9781446268230

    Tags: Measurement , Theory , Measurement error , Measurement validity and invalidity , Concepts & philosophies , Questionnaires , Context , Indicators , Validity

  7. The SAGE Handbook of Social Science Methodology

    The SAGE Handbook of Social Science Methodology

    William Outhwaite & Stephen P. Turner

    (2007)

    "'An excellent guidebook through different approaches to social science measurement, including the all-important route-maps that show us how to get there' - Roger Jowell, City University. 'Over the last decade at least there has been an avalanche of social research methods books, almo...

    DOI: http://dx.doi.org/10.4135/9781848607958

    Tags: Theory , Experiments

  8. Analysis of Covariance

    Analysis of Covariance

    Albert R. Wildt & Olli Ahtola

    (1978)

    This book presents a technique for analyzing the effects of variables, groups, and treatments in both experimental and observational settings. Analysis of Covariance considers not only the main effects of one variable upon another, but ...

    DOI: http://dx.doi.org/10.4135/9781412983297

    Tags: Hypothesis , Covariates , Comparison , Analysis , Analysis of covariance (ANCOVA) , Covariance

  9. “7 Theoretical Sampling; Basics of Qualitative Research (3rd ed.): Techniques and Procedures for Developing Grounded Theory”

    Juliet Corbin & Anselm Strauss

    Found in: Basics of Qualitative Research (3rd ed.): Techniques and Procedures for Developing Grounded Theory

    (2008)

    The most productive scientists have not been satisfied with clearing up the immediate question but, having obtained some new knowledge, they make use of it to uncover something further and often of greater importance. (Beveridge, 1963, p. 144) ...

    Tags: Sampling , Theory , Grounded theory , Qualitative data analysis , Theoretical sampling

  10. Journal Article

    "Correcting a Significance Test for Clustering"

    Journal of Educational and Behavioral Statistics (2007)

    Field experiments often assign entire intact groups (such as sites, classrooms, or schools) to the same treatment group, with different intact groups assigned to different treatments. Because these intact groups correspond to clusters, this design is often called a group...

    Tags: Hypothesis , Sampling distribution , Sampling , Confidence intervals , Degrees of freedom , Statistical significance , Chi-square test , Tests , T-test , Power , Significance

  11. Tests of Significance

    Tests of Significance

    Ramon E. Henkel

    (1976)

    Tests of Significance is an elementary introduction to significance testing, this paper provides a conceptual and logical basis for understanding these tests.

    DOI: http://dx.doi.org/10.4135/9781412986113

    Tags: Hypothesis , Null hypothesis , Sampling , Significance testing , Statistical significance , Significance

  12. Research Training for Social Scientists

    Research Training for Social Scientists

    Dawn Burton

    (2000)

    With indispensable advice for students from all social science backgrounds, this handbook provides the core conceptual and practical skills to em...

    DOI: http://dx.doi.org/10.4135/9780857028051

    Tags: Thesis , Descriptive statistics , Feminist research , Focus groups , Quantitative data analysis , Data analysis , Questionnaires , Moral / Ethical dilemma , Methodology , Computer-assisted personal interviews , Chi-square test , Qualitative data analysis , Hypothesis , Fieldwork , Writing , Ethics / Research ethics , Inferential statistics , Analysis , Literature review , Qualitative research , Access , Survey , Sampling , Interviews , Research design , Secondary data , Writing up , Secondary data analysis

  13. Quantitative Research in Education: A Primer

    Quantitative Research in Education: A Primer

    Wayne K. Hoy

    (2010)

    Designed to allay anxiety about quantitative research, this practical text introduces readers to the nature of research and science, and then presents the meaning of concepts, variables, and research problems in the field of Education. Rich with concrete examples and illustrations, th...

    DOI: http://dx.doi.org/10.4135/9781452272061

    Tags: Hypothesis , Hypothesis testing , Variables , Theory , Quantitative data analysis , Tests , Scientific method , Concepts & philosophies , Hypothesising

  14. Marketing Research

    Marketing Research

    Bonita Kolb

    (2008)

    Essential to any student of the discipline, this textbook offers a comprehensive, applied approach to understanding and designing market ...

    DOI: http://dx.doi.org/10.4135/9780857028013

    Tags: Observational research , Focus groups , Data analysis , Marketing research , Questionnaires , Analysis , Internet research , Qualitative research , Survey , Online survey , In-depth interviews , Research questions , Research report , Methodology , Interviews , Sampling , Quantitative research , Secondary data , Grounded theory

  15. Sampling Essentials: Practical Guidelines for Making Sampling Choices

    Sampling Essentials: Practical Guidelines for Making Sampling Choices

    Johnnie Daniel

    (2012)

    Written for students taking research methods courses, this text provides a thorough overview of sampling principles. The author gives detailed, nontechnical descriptions and guidelines with limited presentation of formulas to help students reach basic research decisions, such as wheth...

    DOI: http://dx.doi.org/10.4135/9781452272047

    Tags: Probability sampling , Theory , Sampling , Research design , Random sampling , Quantitative data collection , Sampling bias , Mixed methods

  16. Grounded theory

    Robert L. Miller & John D. Brewer

    The A-Z of Social Research (2003)

    Grounded theory is a set of fully integrated and practical steps aimed at guiding the research process to completion, the end product of which is the generation of theoretical statements about the data. The chief mark is that this theory is grounded in data and built up f...
  17. Journal Article

    "The Insignificance of Null Hypothesis Significance Testing"

    Political Research Quarterly (1999)

    The primary means of conveying the strength of empirical findings in political science is the null hypothesis significance test, yet we have generally failed to notice that this paradigm is under intense criticism in other disciplines. Led in the social sciences by psych...

    Tags: Hypothesis , Null hypothesis , Bayesian statistics , Hypothesis testing , Meta-analysis , Distribution , Inference , Significance testing , Probability , Significance

  18. Journal Article

    "Goodness-of-Fit Tests and Descriptive Measures in Fuzzy-Set Analysis"

    Sociological Methods & Research (2009)

    Fuzzy-set theory and methods were developed in part to address perceived deficiencies in probability theory when dealing with specific, largely linguistic and semantic, types of uncertainty in empirical information (Zadeh 1995). They now have become an increasingly impor...

    Tags: Measurement , Hypothesis , Hypothesis testing , Measurement error , Tests , Analysis , Alpha error / Type i error , Goodness-of-fit test

  19. Journal Article

    "Causation in the Social Sciences: Evidence, Inference, and Purpose"

    Philosophy of the Social Sciences (2009)

    In recent years, philosophers have slowly come to realize that the marginal benefit of continuing the quest for a monistic account of causation, an account that provides a characterization of a single set of features that distinguishes all causal from noncausal relatio...

    Tags: Hypothesis , Inference , Causation , Concepts & philosophies

  20. SAGE Quantitative Research Methods

    SAGE Quantitative Research Methods

    W. Paul Vogt

    (2011)

    SAGE Quantitative Research Methods W. Paul Vogt SAGE Publications, Inc. 2455 Teller Road Thousand Oaks California 91320 United States of America 2011 Contact SAGE Publications at 9781848606999...

    DOI: http://dx.doi.org/10.4135/9780857028228

    Tags: Qualitative comparative analysis (QCA) , Quantitative data analysis , General linear models , Alpha error / Type i error , Algorithms , Probability , Random effects , Measurement , Bayesian statistics , Methodology , Meta-analysis , Structural equation modelling (SEM) , Modelling , Multilevel analysis , Tests , Significance , Fixed effects , Longitudinal study , Goodness-of-fit test , Hypothesis , Hypothesis testing , Measurement error , Concepts & philosophies , Causality , Bias , Analysis , Power , Correlation , Null hypothesis , Time-series analysis , Confidence intervals , Log-linear analysis , Regression analysis , Quantitative research , Statistical significance , Regression , Reliability , Effect size (ES) , Hierarchical linear models (HLM)

Showing 1-20 of 866 items

Back to top