1. WRITE A RESEARCH PAPER

    Outline, Style, Structure, APA, MLA, Format, Peer Reviews, Publishing

    1. How to Write a Research Paper?
    2. Research Paper Example – A Sample of an Academic Paper
    3. Scientific Journal Rejection – Rejected Submissions
    4. Research Paper Outline Examples – Sample Outlines for Research Papers
    5. Journal Article Submission – Submitting a Research Paper
    6. Academic Journals – Scientific Peer Reviewed Journals
    7. APA Citations – Referencing in APA-standard
    8. MLA Citations – Referencing in MLA-Standard
    9. MLA Writing Format – The MLA-Standard
    10. APA Writing Format – How to Write Academic Papers in APA style
    11. Article Writing Help – Five Pitfalls
    12. Tips on Article Writing – 7 Powerful Research Paper Writing Tips
    13. Disadvantages of Peer Reviews
    14. Advantages of Peer Reviews
    15. Peer Review Process – and Peer Reviewed Publications
    16. Publication Bias – Researchers Tend to Publish Only Significant Findings
    17. Floating Blocks – Graphs and Figures in Research Papers
    18. How to Format a Table – Writing a Paper
    19. How to Write Footnotes – in Research Papers
    20. In Text Citation – References in Research Papers
    21. Writing an Appendix – Adding Non-Essensial Information to Research Papers
    22. Writing Acknowledgements – Thanking Those Helping You
    23. Table of Contents Format – for Research Papers
    24. Writing a Bibliography – Reference the Citations
    25. Writing a Conclusion – Answering the Research Question
    26. Writing a Discussion Section – Interprete the Results
    27. Writing a Results Section – Announcing the Findings
    28. Writing Methodology – Describing the Data Collection
    29. How to Write an Introduction – Introducing the Research Paper
    30. Writing an Abstract – How to Write a Synopsis
    31. APA Title Page – Writing a Research Paper
    32. Example of a Research Paper – How to write a Paper
    33. Parts of a Research Paper – How to Create the Structure for Papers
    34. Research Paper Topic Ideas – Get ideas for your research paper
    35. How to Write a Hypothesis
    36. What is a Thesis Statement? – Stating the Aim of Your Paper
    37. Research Paper Question – The Purpose of the Paper
    38. APA Writing Style – The Terminology of the APA Standard
    39. Research Paper Format – Tips and Details
    40. How to Write an Outline – Writing a Research Paper
    41. Research Paper Outline – How to Write a Research Paper
    42. Writing a Research Paper – An Overview
  2. RESEARCH BASICS

    ‘What is Research?’, History, Aims of Research, Elements, Steps, Reasoning, Logic

    1. Statistics Tutorial – Data Processing, Distribution, Hypothesis Testing, Experimental Error, Reliability and Tests
      1. Measurement Scales
      2. Linear Relationship
      3. Non-Linear Relationship
      4. Relationship Between Variables
      5. Sampling Distribution
      6. Statistical Analysis
      7. Statistics and Reliability
      8. Why Statistics Matter?
      9. What is Statistics?
      10. Variables and Statistics
      11. Trimean
      12. Range (Statistics)
      13. Quartile
      14. Parameters and Statistics
      15. Learn Statistics
      16. Discrete Variables
      17. Branches of Statistics
      18. Normal Distribution Assumptions
      19. Correlational Study
      20. Statistical Validity
      21. Probability and Statistics – Experiments and Research
      22. Philosophy of Statistics – Statistical Methodology, Validity and Reliability
      23. Nonparametric Statistics – No Assumtion to Prior Distribution
      24. Inferential Statistics – Applying Conclusions
      25. Frequency Distribution – Occurances of Data Points in an Experiment
      26. Ethics in Statistics – Avoid Mispresentation of Data in Research
      27. Descriptive Statistics – Simple Quantitative Summary of a Data
      28. Data Dredging – Causition When Snooping or Fishing After Data Patterns
      29. Cronbach’s Alpha – Measurement of Internal Consistency
      30. Cohen’s Kappa – Interrater Agreement Measurement
      31. ROC Curve Analysis – Using Radar Technology in Science
      32. F-Distribution – Ratios of Two Independent Estimators
      33. Partial Correlation Analysis – Multiple Correlation
      34. Correlation and Regression
      35. Mann-Whitney U-Test – (MannWhitney-Wilcoxon)
      36. Margin of Error (Statistics) – Reliability of the Data
      37. Standard Error of the Mean – An Estimate of the Standard Deviation
      38. Calculate Standard Deviation – Formula and Calculation
      39. Measurement Of Uncertainty: Standard Deviation
      40. Statistical Variance – A Measure of Data Distribution
      41. Statistical Mode – The Datapoint Which is Most Frequently Repeated
      42. Calculate Median – When Outliers May Skew the Central Tendency for Means
      43. Geometric Mean – Used to Calculate Average Growth
      44. Statistical Mean – Average – Measure of Central Tendency in Statistics
      45. Arithmetic Mean – A Measure of Central Tendency
      46. Pearson Product-Moment Correlation – Measures Relationship Between Variables
      47. Wilcoxon Signed Rank Test – Non-Parametric Test
      48. Factorial Anova – Analysing Multiple Factors With Analysis of Variance
      49. Repeated Measures ANOVA – A Within-Subject Design Using Analysis of Variance
      50. One-Way ANOVA
      51. Two-Way ANOVA – Comparing Two Factors
      52. Data Output – Processed Data Ready for Analysis
      53. Raw Data Processing – Organizing Information in Research
      54. Statistical Data Sets – Organizing the Information in Research
      55. Effect Size – Strength of Relationship
      56. Statistical Significance And Sample Size
      57. Statistical Treatment Of Data
      58. Systematic Error – Biases in Measurements
      59. Random Error – Unpredictable Measurement Errors in Research
      60. Statistical Power Analysis – Determine the Sample Size
      61. Spearman Rank Correlation Coefficient – Using Rankings to Calculate Correlation
      62. Dependent T-Test for Paired Samples
      63. Independent Two-Sample T-Test – Does Population Means Differ?
      64. Independent One-Sample T-Test – Testing Whether Samples and Population Differ
      65. Experimental Probability
      66. P-Value – Probability of the Randomness in Sampling
      67. F-Test – Handling Small Sample Sizes
      68. Chi Square Test
      69. Student’s T-Test (II) – Testing T-Distributed Data
      70. Student’s T-Test – Testing Hypotheses
      71. Multiple Regression Analysis – Predicting Unknown Values
      72. Linear Regression Analysis – Predicting an Unknown Value
      73. Factor Analysis – Categorizing Common Variables
      74. ANOVA – The Analysis Of Variance
      75. Z-Test – Basics and the Different Z-tests
      76. Bayesian Probability – Predicting Likelihood of Future Events
      77. Correlation and Causation – The Incorrect Assumption of a Causal Relationship
      78. Statistical Outliers – Extreme Datapoints
      79. Regression Toward the Mean – Often Misunderstood
      80. Measures of Central Tendency – What is the Middle Value?
      81. Experimental Error – Type I and Type II Errors
      82. Statistical Reliability – Ensures Validity and Precision
      83. Statistically Significant Results – How to Test a Hypothesis
      84. Significance Test (II) – Is the Evidence Convincing Enough?
      85. Significance Test – Accepting or Rejecting a Hypothesis?
      86. Statistical Hypothesis Testing – How to Apply Statistics to Experiments
      87. Confidence Interval in Statistics – Reliability of an Estimate
      88. Statistical Correlation – Strength of Relationship Between Variables
      89. Normal Probability Distribution – Gaussian Distribution
      90. Meta-Analysis – and Meta Studies
      91. Sample Size – The Number of Observations in Research
    2. Research Designs – Quantitative and Qualitative Research, Research Designs, Types of Studies, Reviews, Experiments
      1. Surveys and Questionnaires – Guide
      2. Quantitative and Qualitative Research
      3. Cross Sectional Study – A Snapshot of a Population
      4. Pilot Study – Testing the Study Before Launching
      5. Case Control Study – When Longitudinal Studies Have Too Low Incident
      6. Factorial Design – Testing the Effect of Two or More Variables
      7. Longitudinal Study – Studying Long Term Effects
      8. Observational Study – Research Without Manipulation
      9. Cohort Study – Investigating a Particular Group Over Period of Time
      10. Field Experiments – ‘Real’ World Studies
      11. Naturalistic Observation – Research in the Natural Environment
      12. What is a Literature Review?
      13. Systematic Reviews – Evaluating Previous Research
      14. True Experimental Design – Experiments with Control Group Randomized
      15. Survey Research Design – How to Conduct Surveys
      16. Quasi-Experimental Design – Experimental Design without Randomization
      17. Quantitative Research Design – Proving Cause and Effect
      18. Qualitative Research Design – Exploring a Subject in Depth
      19. Identical Twins Study – Measuring Effects from Environment and Genetics
      20. Descriptive Research Design – Observing a Phenomenon
      21. Case Study Research Design – How to conduct a Case Study
      22. Pretest-Posttest Designs – Experimantal Research
    3. Experimental Research – Aims, Creating and Conducting Experiments, Experimental Design, Sampling, Pilots, Analysis
      1. Sequential Sampling Method – Consecutive Selection
      2. Quota Sampling – Non-Probability Sampling
      3. Snowball Sampling – Non-Probability Sampling
      4. Judgmental Sampling – Non-Probability Sampling
      5. Random Sampling – Probability Sampling
      6. Disproportional Sampling – Probability Sampling
      7. Establishing Cause and Effect – Scientific Causality
      8. Within Subject Design – Repeated Measures Design
      9. Repeated Measures Design – Within Subject Design
      10. Matched Subjects Designs – Matched Sampling
      11. Between Subjects Design – Independent Groups Design
      12. Solomon Four Group Design – Measuring the Impact of the Pretest
      13. Randomized Controlled Trials – Reducing the Influence of Confounding Variables
      14. Counterbalanced Measures Design – Counterbalancing Experimental Groups
      15. Placebo Effect – The Hope/Expectancy-Effect
      16. Sample Group – A Subset of a Population
      17. Randomization – Randomized Controlled Trials
      18. Statistical Sampling Techniques
      19. Systematic Sampling – Systematic Random Sampling
      20. Stratified Sampling Method – Subjects Proportionally Selected From Subgroups
      21. Cluster Sampling – Sampling Whole Groups From a Population.
      22. Sampling Error – Sampling Bias
      23. Probability Sampling and Randomization
      24. Non-Probability Sampling – No Randomization
      25. Population Sampling Techniques – Selecting a Representative Subset of a Population
      26. Convenience Sampling – Non-Probability Sampling
      27. Research Bias – Experimenter Bias
      28. Social Science Subjects – Participants in Research
      29. Scientific Control Group – Experimental Research
      30. Random Sampling Error – Failure to Reflect the Population Accurately
      31. What is Sampling? – Representing a Population
      32. Experimental Research and Society
      33. Ad Hoc Analysis – Explaining Contrary Evidence
      34. Double Blind Experiment – Avoiding Bias
      35. Design of Experiment – Testing a Hypothesis
      36. Conducting an Experiment – Carry Out Experimental Research
    4. Research Methodology – Variables, Hypothesis, Validity, Reliability, Generalization, Errors in Research
      1. What is Generalization? – Do Research Apply to the Real World?
      2. Scientific Observation – Collecting Empirical Evidence
      3. Empirical Evidence – Convincing Scientific Proof
      4. Conceptual Variables – Constructs in Science
      5. Replication Study – Repeating a Previous Study
      6. Research Population – The Focus Group of a Scientific Query
      7. Test–Retest Reliability – Simple Reliability Testing
      8. Reproducibility
      9. Interrater Reliability – Interobserver Reliability
      10. Internal Consistency Reliability – (Internal Compability Test)
      11. Instrument Reliability – Ensuring Reliable Measurement
      12. Definition of Reliability – The Scientific Method
      13. Types of Validity – An Overview
      14. Predictive Validity – Does the Test Predict Future Performance?
      15. Concurrent Validity – How Well Does a Test Measure the Same as the Old Measure?
      16. Criterion Validity – Does a Test Reflect a Certain Set of Abilities?
      17. Test Validity – Can the Measurement Be Trusted?
      18. Convergent and Discriminant Validity
      19. Content Validity – (AKA Logical or Rational Validity)
      20. Face Validity – Representation Validity
      21. Construct Validity – Does the Concept Match the Specific Measurement?
      22. Internal Validity – The Confidence in the Cause-Effect Relationship
      23. Ecological Validity – Environmental Influence when Generalizing
      24. Population Validity – Generalize to a Population as a whole
      25. External Validity – Generalizing Results
      26. Hypothesis Testing – Comparing the Null and Alternative Hypothesis
      27. Type I Error and Type II Error
      28. Choosing Scientific Measurements – What is Important?
      29. Operationalization – Defining Variables Into Measurable Factors
      30. Null Hypothesis – The Commonly Accepted Hypothesis
      31. Drawing Conclusions – Judgment by the Scientific Method
      32. Different Research Methods
      33. Defining a Research Problem – Specifying What to Research
      34. Validity and Reliability – How to Know if the Research is Correct?
      35. Independent Variable – The Manipulated Variable in Research
      36. Dependent Variable – Measuring the Effect in Research
      37. Controlled Variables – The Scientists Tries to Avoid Interference
      38. Confounding Variable / Third Variable – Third Variables Affecting the Results
      39. Research Variables – Values that Change
      40. Research Hypothesis – Testing Theories and Models
    5. Prediction in Research – How the Scientific Method Predict Future Events
    6. Empirical Research – Based on the Scientific Method
    7. Definition of Science – Knowledge Attained Through Study
    8. What is the Scientific Method?
    9. Definition of the Scientific Method
    10. Scientific Elements – Fundamental Parts of Scientific Research
    11. Purpose of Research – Why Conduct Scientific Research?
    12. Aims Of Research – What Are the Goals of Scientific Research?
    13. Definition of Research
    14. What is Research?
    15. Steps of the Scientific Method – The Stages of Scientific Research