## Experimental Design in Psychological Research |

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Page 118

CALCULATIONS FOR A

necessary calculations in the analysis of variance for a

CALCULATIONS FOR A

**RANDOMIZED GROUPS DESIGN**We shall illustrate thenecessary calculations in the analysis of variance for a

**randomized groups****design**in which n = 40 subjects have been assigned at random to one of k = 5 ...Page 158

'11 ' THE RANDOMIZED BLOCKS DESIGN INTRODUCTION In research in the

behavioral sciences the experimental ... Under the circumstances described

above, a randomized blocks design may be preferred to a

'11 ' THE RANDOMIZED BLOCKS DESIGN INTRODUCTION In research in the

behavioral sciences the experimental ... Under the circumstances described

above, a randomized blocks design may be preferred to a

**randomized groups****design**.Page 396

Nonadditivity, 109, 165 in a randomized blocks design, 165-168 sum of squares

for, 166-167 test of significance for, ... 48-49 Number of observations, 97-100,

132, 152, 175 in a

...

Nonadditivity, 109, 165 in a randomized blocks design, 165-168 sum of squares

for, 166-167 test of significance for, ... 48-49 Number of observations, 97-100,

132, 152, 175 in a

**randomized groups design**, 118 Observations, discrepant, 168...

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### Contents

THE NATURE OF RESEARCH | 1 |

PRINCIPLES OF EXPERIMENTAL DESIGN | 13 |

BINOMIAL POPULATIONS IN RESEARCH | 28 |

Copyright | |

19 other sections not shown

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### Common terms and phrases

A X B interaction A X B X C interaction A X C analysis of variance assume binomial population calculated CN CN column corresponding data of Table degrees of freedom differ significantly drug equal error mean square estimate of experimental example factor factorial experiment freedom associated frequency given in Table Graeco-Latin square id id id interaction sum Latin square levels linear component measures multiple comparisons multiplying normal curve normally distributed null hypothesis number of degrees number of observations obtained organismic variable orthogonal comparisons pi pi pi probability problem Psychol quadratic components random sampling randomized blocks design randomized groups design replication residual result sampling distribution scores selected shock X stages Source of Variation squares within groups stages sum standard deviation standard error Statistical subjects subtraction sum of squares test of significance treatment effects treatment groups treatment mean square treatment sum trend zero