QUANTITATIVE RESEARCH DESIGNS

• QUANTITATIVE RESEARCH DESIGN

  A) EXPERIMENTAL

  B) TRUE EXPERIMENTAL

  C) PRE-EXPERIMENTAL

  D) 1. PRE-TEST DESIGN

  E) 2. POST-TEST DESIGN

  F) 3. POST-TEST ONLY/CONTROL

  G) QUASI-EXPRIMENTAL

  H) 1. NON-EQUIVALENT CONTROL GROUP DESIGN

  I) ONE SHOT CASE STUDY

  J) 2. ONE GROUPPRE-TEST POST-TEST DESIGN

  K) NON-EXPERIMENTAL

  L) DESCRIPTIVE

  M) 1. SURVEY

  N) 2. CORRELATIONAL

  O) 3. COMPARATIVE

  P) 4. EVALUATIVE

  Q) 5. METHODOLOGICAL

  R) QUANTITATIVE RESEARCH DESIGN

  S) QUANTITATIVE RESEARCH DESIGN

  
• *Non-Experimental Designs - Are used when the researcher wishes to:•Explore events, people, situations as they naturally occur•Test relationships and differences among variables-The independent variable is not manipulated-Subjects are not randomized-There is no control group
• Survey


  A research design used when the researcher intends to provide a quantitative or numeric description of trends, attitudes, opinions of a population by studying a sample of that population
• Survey

  • Data are collected with questionnaires or through personal interviews with members of an identified population
  • It may be descriptive, exploratory, or comparative surveys
  • It uses the data to justify and assess current conditions and practices
• Survey


  • Hours Spent by Grade 12 Senior High School Students on Social Media
• Correlational


  Explores, examines and observes the association or relationships between two or more variables; variables are not controlled
• Correlational


  • Intends to estimate the extent to which the different variables are related to one another
  • Establishes or explores relationships, associations, or interdependence between two or more variables without investigating causal reasons underlying them
  • It has three types: Bivariate correlational studies, prediction studies, and multiple regression prediction studies
• Correlational


  • A Correlational Study of the Relationship Between Sense of Humor and Positive Psychological Capacities
  • Liver Regeneration in Acute Severe Liver Impairment: A Clinicopathological Correlation Study
  • A Correlation Study of Personal Entrepreneurial Competency and the Academic Performance in Operations Management of Business Administration Students
  • A Study of the Relationship between IQ and Clinical Depression
• Comparative research


  Involves comparing and contrasting two or more samples of study subjects on one or more variables, often at a single point of time
• Comparative studies

  • A Comparative Study on the Health Problems among Rural and Urban Older People from District Mehsana, Gujarat
  • A Comparative Study on the Pricing Strategy of Jollibee Foods Corporation and Golden Arches Development Corporation (Mc Donalds)
• Evaluation research


  Research conducted to elicit useful feedback from a variety of respondents from various fields to aid in decision-making or policy formulation
• Formative evaluation


  • Used to determine the quality of implementation of a project, the efficiency and effectiveness of a program, assessment of organizational processes like procedures, policies, guidelines, human resource development, etc.
• Summative evaluation

  • Undertaken to determine whether the program or intervention achieved its goals, objectives, or outcomes; how the program's impact compares to different programs; and to better understand the process of change, what works, what doesn't, and why
• Evaluation research

  • Effectiveness of the implementation of the K-12 Program in Lagro High School S.Y. 2016-2017
• Methodological research


  The implementation of a variety of methodologies forms critical part of achieving the goal of developing a scaled-match approach, where data from different disciplines can be integrated
• Bivariate Correlational Studies


  • Obtain scores from two variables for each subject, then use them to calculate a correlation coefficient
  • The two variables are correlated (variables are selected because they are believed to be related)
• Prediction studies

  • Use correlation co-efficient to show how one variable (the predictor variable) predicts another (the criterion variable)
• Multiple Regression prediction studies

  • Suppose the high school GPA is not the sole predictor of college GPA, what might be other good predictors?
  • All of these variables can contribute to the overall production in an equation that adds together the predictive power of each identified variable
• Experimental


  Utilises the scientific method to test cause and effect relationships under conditions controlled by the researcher
• Treatment


  An agent or procedure that is presumed to cause change
• Pre-experimental research designs

  • One-shot case study design
  • One-group pretest-posttest design
  • Static-group comparison
• One-shot case study design


  A single group is studied at a single point in time after some treatment that is presumed to have caused change
• The carefully studied single instance is compared to general expectations of what the case would have looked like had the treatment not occurred and to other events casually observed
• One-shot case study design


  • No control or comparison group is employed
• One-group pretest-posttest design


  A single group is studied at two points in time
• One-group pretest-posttest design

  • A pretest is administered before the treatment and a posttest is administered after the treatment
• Static-group comparison


  Two or more groups are observed at a single point in time
• Static-group comparison

  • A comparison group is employed
• TYPES OF PRE-EXPERIMENTAL RESEARCH DESIGN

  A) TYPES OF PRE-EXPERIMENTAL RESEARCH DESIGNS

  B) ONE SHOT CASE STUDY

  C) EXPERIMENT (INTERVERTION/ TREATMENT/ PROGRAM/ SERVICES)

  D) X

  E) O

  F) OBESRVATION (POST-TEST)

  
• 1. One-shot case studyX is the Experiment (Intervention/ Treatment/Program/ Services) O is the Observation (Post-Test)•One group receives intervention•Then, observations/measures takenTypes of Pre-Experimental Research Designb. One-group pretest-posttest designA single case is observed at two time points, one before the treatment and one after the treatment. Changes in the outcome of interest are presumed to be the result of the intervention or treatment. No control or comparison group is employed.Example: One group is given intervention/treatment for depression and afterwards given post-test
• TYPES OF PRE-EXPERIMENTAL RESEARCH DESIGN

  A) ONE GROUP PRETEST-POSTTEST DESIGN

  B) EXPERIMENT (INTERVERTION/ TREATMENT/ PROGRAM/ SERVICES)

  C) O

  D) X

  E) O

  F) OBESRVATION (PRE-TEST)

  G) OBESRVATION (POST-TEST)

  
• *One group pretest-posttest design-X is the Experiment (Intervention/ Treatment/Program/ Services)-First O is the Observation (Pre-Test)-Last O is the Observation (Post-Test)•One group•Give pre-test•Give intervention•Give post-test
• Types of Pre-Experimental Research Designc. Static-group comparison•A group that has experienced some treatment is compared with one that has not. Observed differences between the two groups are assumed to be a result of the treatment.Example: There are two groups. One group is given intervention/treatment for depression and the other group is not given intervention and treatment. Afterwards both groups are given post-test
• Types of Pre-Experimental Research Design

  A) STATIC-GROUP COMPARISON DESIGN

  B) EXPERIMENT (INTERVERTION/ TREATMENT/ PROGRAM/ SERVICES)

  C) X

  D) O

  E) O

  F) OBESRVATION 1ST GROUP (POST-TEST)

  G) OBESRVATION 2ND GROUP (POST-TEST)

  
• *Static-group Comparison Design-X is the Experiment (Intervention/ Treatment/ Program/ Services)-last O beside X is the Observation 1st Group (Post-Test)-O below the last O is the Observation 2nd Group (Post-Test)•Two groups•Give intervention to one group•Give posttests to two groups
• Quasi-Experimental Research Design


  Used for tests of causality with sub-optimal variable control; independent variables are not manipulated
• Quasi-Experimental design


  • Differs from True Experimental design by the absence of random assignments of subjects to different conditions
  • Some subjects receive an intervention and provide data likely to reflect its impact
• Quasi-Experimental design


  • A Study on the Effect of an After School Physical Activity Program on Childhood Obesity Rates
• Quasi-experimental design


  1. Involves selecting groups, upon which a variable is tested, without any random pre-selection processes

  2. For example, to perform an educational experiment, a class might be arbitrarily divided by alphabetical selection or by seating arrangement (Non-Equivalent Control Group Design, Time Series Design)
• Quasi-experiments have in common with true experiments that some subjects receive an intervention and provide data likely to reflect its impact