LEADER 04170nam 22006495 450 001 9910484287303321 005 20250609110611.0 010 $a9789811552045 010 $a9811552045 024 7 $a10.1007/978-981-15-5204-5 035 $a(CKB)4100000011354726 035 $a(DE-He213)978-981-15-5204-5 035 $a(MiAaPQ)EBC6314867 035 $a(PPN)259900761 035 $a(MiAaPQ)EBC6270972 035 $a(EXLCZ)994100000011354726 100 $a20200720d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDetermining Sample Size and Power in Research Studies $eA Manual for Researchers /$fby J. P. Verma, Priyam Verma 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (XIII, 127 p. 61 illus., 43 illus. in color.) 311 08$a9789811552038 311 08$a9811552037 320 $aIncludes bibliographical references. 327 $aChapter 1: Introduction To Sample Size Determination -- Chapter 2: Understanding Statistical Inference -- Chapter 3: Understanding Concepts In Estimating Sample Size In Survey Studies -- Chapter 3: Chapter 4: Understanding Concepts In Estimating Sample Size In Hypothesis Testing Experiments Chapter 5: Use Of G*Power Software -- Chapter 6: Determining Sample Size In Experimental Studies -- Chapter 7: Determining Sample Size In General Linear Models. 330 $aThis book addresses sample size and power in the context of research, offering valuable insights for graduate and doctoral students as well as researchers in any discipline where data is generated to investigate research questions. It explains how to enhance the authenticity of research by estimating the sample size and reporting the power of the tests used. Further, it discusses the issue of sample size determination in survey studies as well as in hypothesis testing experiments so that readers can grasp the concept of statistical errors, minimum detectable difference, effect size, one-tail and two-tail tests and the power of the test. The book also highlights the importance of fixing these boundary conditions in enhancing the authenticity of research findings and improving the chances of research papers being accepted by respected journals. Further, it explores the significance of sample size by showing the power achieved in selected doctoral studies. Procedure has been discussed to fix power in the hypothesis testing experiment. One should usually have power at least 0.8 in the study because having power less than this will have the issue of practical significance of findings. If the power in any study is less than 0.5 then it would be better to test the hypothesis by tossing a coin instead of organizing the experiment. It also discusses determining sample size and power using the freeware G*Power software, based on twenty-one examples using different analyses, like t-test, parametric and non-parametric correlations, multivariate regression, logistic regression, independent and repeated measures ANOVA, mixed design, MANOVA and chi-square. 606 $aStatistics 606 $aSociology$xMethodology 606 $aStatistics 606 $aResearch$xMethodology 606 $aStatistical Theory and Methods 606 $aSociological Methods 606 $aApplied Statistics 606 $aResearch Skills 615 0$aStatistics. 615 0$aSociology$xMethodology. 615 0$aStatistics. 615 0$aResearch$xMethodology. 615 14$aStatistical Theory and Methods. 615 24$aSociological Methods. 615 24$aApplied Statistics. 615 24$aResearch Skills. 676 $a519.5 700 $aVerma$b J. P$4aut$4http://id.loc.gov/vocabulary/relators/aut$0782107 702 $aVerma$b Priyam$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484287303321 996 $aDetermining Sample Size and Power in Research Studies$92184205 997 $aUNINA LEADER 04159nam 22005655 450 001 9910309664903321 005 20200702083605.0 010 $a3-030-02864-X 024 7 $a10.1007/978-3-030-02864-0 035 $a(CKB)4100000007389526 035 $a(DE-He213)978-3-030-02864-0 035 $a(MiAaPQ)EBC5628139 035 $a(PPN)233799052 035 $a(EXLCZ)994100000007389526 100 $a20190102d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDigital Humanities and Film Studies $eVisualising Dziga Vertov's Work /$fby Adelheid Heftberger 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XI, 311 p. 191 illus., 91 illus. in color.) 225 1 $aQuantitative Methods in the Humanities and Social Sciences,$x2199-0956 311 $a3-030-02863-1 327 $aChapter 1. Introduction -- Chapter 2. The Measurement of Aesthetic Phenomena -- Chapter 3. Annotation and Statistics -- Chapter 4. Dziga Vertov's Films -- Chapter 5. The filmic structure as visualisation -- Chapter 6. Charts and Diagrams of Dziga Vertov -- Chapter 7. From filmic form to meaning -- Chapter 8. Summary and outlook. 330 $aThis book highlights the quantitative methods of data mining and information visualization and explores their use in relation to the films and writings of the Russian director, Dziga Vertov. The theoretical basis of the work harkens back to the time when a group of Russian artists and scholars, known as the ?formalists,? developed new concepts of how art could be studied and measured. This book brings those ideas to the digital age. One of the central questions the book intends to address is, ?How can hypothetical notions in film studies be supported or falsified using empirical data and statistical tools?? The first stage involves manual and computer-assisted annotation of the films, leading to the production of empirical data which is then used for statistical analysis but more importantly for the development of visualizations. Studies of this type furthermore shed light on the field of visual presentation of time-based processes; an area which has its origin in the Russian formalist sphere of the 1920s and which has recently gained new relevance due to technological advances and new possibilities for computer-assisted analysis of large and complex data sets. In order to reach a profound understanding of Vertov and his films, the manual or computer-assisted data analysis must be combined with film-historical knowledge and a study of primary sources. In addition, the status of the surviving film materials and the precise analysis of these materials combined with knowledge of historical film technology provide insight into archival policy and political culture in the Soviet Union in the 1920s and 30s. 410 0$aQuantitative Methods in the Humanities and Social Sciences,$x2199-0956 606 $aStatistics 606 $aMotion pictures?History 606 $aRussia?History 606 $aEurope, Eastern?History 606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 606 $aFilm History$3https://scigraph.springernature.com/ontologies/product-market-codes/413070 606 $aRussian, Soviet, and East European History$3https://scigraph.springernature.com/ontologies/product-market-codes/717090 615 0$aStatistics. 615 0$aMotion pictures?History. 615 0$aRussia?History. 615 0$aEurope, Eastern?History. 615 14$aStatistics for Social Sciences, Humanities, Law. 615 24$aFilm History. 615 24$aRussian, Soviet, and East European History. 676 $a519.5 676 $a791.430233092 700 $aHeftberger$b Adelheid$4aut$4http://id.loc.gov/vocabulary/relators/aut$0768229 906 $aBOOK 912 $a9910309664903321 996 $aDigital Humanities and Film Studies$91564702 997 $aUNINA